diff --git "a/linguistic/chunking/valid.csv" "b/linguistic/chunking/valid.csv"
new file mode 100644--- /dev/null
+++ "b/linguistic/chunking/valid.csv"
@@ -0,0 +1,10129 @@
+text,chunks,target_chunk,options,label
+"Longtime Hollywood associates describe Mr. Guber as the intellectual powerhouse of the two , a man with a flair for deal-making and marketing .","[array(['Longtime', 'Hollywood', 'associates'], dtype=object)
+ array(['describe'], dtype=object) array(['Mr.', 'Guber'], dtype=object)
+ array(['as'], dtype=object)
+ array(['the', 'intellectual', 'powerhouse'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'two'], dtype=object)
+ array(['a', 'man'], dtype=object) array(['with'], dtype=object)
+ array(['a', 'flair'], dtype=object) array(['for'], dtype=object)
+ array(['deal-making', 'and', 'marketing'], dtype=object)]",['a' 'man'],['NP' 'ADVP' 'VP' 'PP'],0
+"`` In general , it was a bearish close , '' said Ben Hanauer , a copper trader at Rudolph Wolff & Co. , a major commodities trading and brokerage firm .","[array(['In'], dtype=object) array(['general'], dtype=object)
+ array(['it'], dtype=object) array(['was'], dtype=object)
+ array(['a', 'bearish', 'close'], dtype=object)
+ array(['said'], dtype=object) array(['Ben', 'Hanauer'], dtype=object)
+ array(['a', 'copper', 'trader'], dtype=object)
+ array(['at'], dtype=object)
+ array(['Rudolph', 'Wolff', '&', 'Co.'], dtype=object)
+ array(['a', 'major', 'commodities', 'trading', 'and', 'brokerage', 'firm'],
+       dtype=object)                                                        ]",['a' 'bearish' 'close'],['NP' 'VP' 'SBAR' 'PP'],0
+"The harvest arrives in plenty after last year 's drought-ravaged effort : The government estimates corn output at 7.45 billion bushels , up 51 % from last fall .","[array(['The', 'harvest'], dtype=object) array(['arrives'], dtype=object)
+ array(['in'], dtype=object) array(['plenty'], dtype=object)
+ array(['after'], dtype=object) array(['last', 'year'], dtype=object)
+ array([""'s"", 'drought-ravaged', 'effort'], dtype=object)
+ array(['The', 'government'], dtype=object)
+ array(['estimates'], dtype=object)
+ array(['corn', 'output'], dtype=object) array(['at'], dtype=object)
+ array(['7.45', 'billion', 'bushels'], dtype=object)
+ array(['up'], dtype=object) array(['51', '%'], dtype=object)
+ array(['from'], dtype=object) array(['last', 'fall'], dtype=object)]",['The' 'government'],['NP' 'ADVP' 'SBAR' 'PP'],0
+Valley National said it made the decision on the basis of an `` overall assessment of the marketplace '' and the condition of its loan portfolio and after reviewing it with federal regulators .,"[array(['Valley', 'National'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object) array(['made'], dtype=object)
+ array(['the', 'decision'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'basis'], dtype=object) array(['of'], dtype=object)
+ array(['an', '``', 'overall', 'assessment'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'marketplace'], dtype=object)
+ array(['the', 'condition'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'loan', 'portfolio'], dtype=object)
+ array(['and'], dtype=object) array(['after'], dtype=object)
+ array(['reviewing'], dtype=object) array(['it'], dtype=object)
+ array(['with'], dtype=object)
+ array(['federal', 'regulators'], dtype=object)]",['said'],['VP' 'ADVP' 'NP' 'PP'],0
+"In 1988 , 18 months after the sixth congress formally endorsed family-run private enterprise , district authorities allowed Mr. Chan to resume work .","[array(['In'], dtype=object) array(['1988'], dtype=object)
+ array(['18', 'months'], dtype=object)
+ array(['the', 'sixth', 'congress'], dtype=object)
+ array(['formally'], dtype=object) array(['endorsed'], dtype=object)
+ array(['family-run', 'private', 'enterprise'], dtype=object)
+ array(['district', 'authorities'], dtype=object)
+ array(['allowed'], dtype=object) array(['Mr.', 'Chan'], dtype=object)
+ array(['to', 'resume'], dtype=object) array(['work'], dtype=object)]",['the' 'sixth' 'congress'],['NP' 'PP' 'VP' 'ADJP'],0
+"Reversing an eight-year federal policy , the measure supports Medicaid abortions in cases of rape and incest , but Mr. Bush has so far refused to support any specific exemption beyond instances in which the mother 's life is in danger .","[array(['Reversing'], dtype=object)
+ array(['an', 'eight-year', 'federal', 'policy'], dtype=object)
+ array(['the', 'measure'], dtype=object) array(['supports'], dtype=object)
+ array(['Medicaid', 'abortions'], dtype=object)
+ array(['in'], dtype=object) array(['cases'], dtype=object)
+ array(['of'], dtype=object)
+ array(['rape', 'and', 'incest'], dtype=object)
+ array(['Mr.', 'Bush'], dtype=object)
+ array(['has', 'so', 'far', 'refused', 'to', 'support'], dtype=object)
+ array(['any', 'specific', 'exemption'], dtype=object)
+ array(['beyond'], dtype=object) array(['instances'], dtype=object)
+ array(['in'], dtype=object) array(['which'], dtype=object)
+ array(['the', 'mother'], dtype=object)
+ array([""'s"", 'life'], dtype=object) array(['is'], dtype=object)
+ array(['in'], dtype=object) array(['danger'], dtype=object)]",['any' 'specific' 'exemption'],['NP' 'SBAR' 'PP' 'VP'],0
+"As for property and casualty insurers , Moody 's said `` preliminary estimates suggest that losses should not have a significant impact on most insurers ' financial condition , '' but it `` raises concerns about potentially substantial risks '' longer-term .","[array(['As'], dtype=object) array(['for'], dtype=object)
+ array(['property', 'and', 'casualty', 'insurers'], dtype=object)
+ array(['Moody'], dtype=object) array([""'s""], dtype=object)
+ array(['said'], dtype=object)
+ array(['preliminary', 'estimates'], dtype=object)
+ array(['suggest'], dtype=object) array(['that'], dtype=object)
+ array(['losses'], dtype=object)
+ array(['should', 'not', 'have'], dtype=object)
+ array(['a', 'significant', 'impact'], dtype=object)
+ array(['on'], dtype=object) array(['most', 'insurers'], dtype=object)
+ array([""'"", 'financial', 'condition'], dtype=object)
+ array(['it'], dtype=object) array(['raises'], dtype=object)
+ array(['concerns'], dtype=object) array(['about'], dtype=object)
+ array(['potentially', 'substantial', 'risks'], dtype=object)
+ array(['longer-term'], dtype=object)]",['As'],['PP' 'ADVP' 'VP' 'NP'],0
+"A spokeswoman would n't comment on whether the company had talked with any potential buyers for the New Hartford , Conn. , unit , which had 1988 sales of about $ 75 million .","[array(['A', 'spokeswoman'], dtype=object)
+ array(['would', ""n't"", 'comment'], dtype=object)
+ array(['on'], dtype=object) array(['whether'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array(['had', 'talked'], dtype=object) array(['with'], dtype=object)
+ array(['any', 'potential', 'buyers'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'New', 'Hartford', ',', 'Conn.', ',', 'unit'], dtype=object)
+ array(['which'], dtype=object) array(['had'], dtype=object)
+ array(['1988', 'sales'], dtype=object) array(['of'], dtype=object)
+ array(['about', '$', '75', 'million'], dtype=object)]",['on'],['PP' 'VP' 'NP' 'ADVP'],0
+"Ship companies carrying bulk commodities , such as oil , grain , coal and iron ore , have been able to increase their rates in the last couple of years .","[array(['Ship', 'companies'], dtype=object)
+ array(['carrying'], dtype=object)
+ array(['bulk', 'commodities'], dtype=object)
+ array(['such', 'as'], dtype=object) array(['oil'], dtype=object)
+ array(['grain'], dtype=object) array(['coal'], dtype=object)
+ array(['iron', 'ore'], dtype=object)
+ array(['have', 'been'], dtype=object) array(['able'], dtype=object)
+ array(['to', 'increase'], dtype=object)
+ array(['their', 'rates'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'last', 'couple'], dtype=object)
+ array(['of'], dtype=object) array(['years'], dtype=object)]",['have' 'been'],['VP' 'ADVP' 'PP' 'NP'],0
+"For example , if wheat is being offered at $ 4.065 and bid at $ 4.060 , a market order to buy would be filled at the higher price and a market order to sell at the lower price .","[array(['For'], dtype=object) array(['example'], dtype=object)
+ array(['if'], dtype=object) array(['wheat'], dtype=object)
+ array(['is', 'being', 'offered'], dtype=object)
+ array(['at'], dtype=object) array(['$', '4.065'], dtype=object)
+ array(['bid'], dtype=object) array(['at'], dtype=object)
+ array(['$', '4.060'], dtype=object)
+ array(['a', 'market', 'order'], dtype=object)
+ array(['to', 'buy'], dtype=object)
+ array(['would', 'be', 'filled'], dtype=object)
+ array(['at'], dtype=object)
+ array(['the', 'higher', 'price'], dtype=object)
+ array(['a', 'market', 'order'], dtype=object)
+ array(['to', 'sell'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'lower', 'price'], dtype=object)]",['at'],['PP' 'NP' 'VP' 'ADVP'],0
+"Row 21 of Section 9 of the Upper Reserved at Candlestick Park is a lofty perch , only a few steps from the very top of the stands .","[array(['Row', '21'], dtype=object) array(['of'], dtype=object)
+ array(['Section', '9'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Upper', 'Reserved'], dtype=object)
+ array(['at'], dtype=object) array(['Candlestick', 'Park'], dtype=object)
+ array(['is'], dtype=object) array(['a', 'lofty', 'perch'], dtype=object)
+ array(['only', 'a', 'few', 'steps'], dtype=object)
+ array(['from'], dtype=object) array(['the', 'very', 'top'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'stands'], dtype=object)]",['of'],['PP' 'ADVP' 'SBAR' 'NP'],0
+"It reduces lawsuits from disgruntled employees and ex-employees , with all that means for reduced legal costs and better public relations .","[array(['It'], dtype=object) array(['reduces'], dtype=object)
+ array(['lawsuits'], dtype=object) array(['from'], dtype=object)
+ array(['disgruntled', 'employees', 'and', 'ex-employees'], dtype=object)
+ array(['with'], dtype=object) array(['all'], dtype=object)
+ array(['that'], dtype=object) array(['means'], dtype=object)
+ array(['for'], dtype=object)
+ array(['reduced', 'legal', 'costs'], dtype=object)
+ array(['better', 'public', 'relations'], dtype=object)]",['with'],['PP' 'VP' 'ADJP' 'NP'],0
+"Researchers at Sandia National Laboratories in Albuquerque , N.M. , reported they went so far as to take a `` cold fusion '' experiment and three neutron detectors into a tunnel under 300 feet of granite to shield the detectors from cosmic rays .","[array(['Researchers'], dtype=object) array(['at'], dtype=object)
+ array(['Sandia', 'National', 'Laboratories'], dtype=object)
+ array(['in'], dtype=object) array(['Albuquerque'], dtype=object)
+ array(['N.M.'], dtype=object) array(['reported'], dtype=object)
+ array(['they'], dtype=object) array(['went'], dtype=object)
+ array(['so', 'far'], dtype=object) array(['as'], dtype=object)
+ array(['to', 'take'], dtype=object)
+ array(['a', '``', 'cold', 'fusion', ""''"", 'experiment'], dtype=object)
+ array(['three', 'neutron', 'detectors'], dtype=object)
+ array(['into'], dtype=object) array(['a', 'tunnel'], dtype=object)
+ array(['under'], dtype=object) array(['300', 'feet'], dtype=object)
+ array(['of'], dtype=object) array(['granite'], dtype=object)
+ array(['to', 'shield'], dtype=object)
+ array(['the', 'detectors'], dtype=object) array(['from'], dtype=object)
+ array(['cosmic', 'rays'], dtype=object)]",['Sandia' 'National' 'Laboratories'],['NP' 'VP' 'PP' 'PRT'],0
+"But the median income of American families fell 0.2 % , the first time it has failed to rise since 1982 .","[array(['the', 'median', 'income'], dtype=object)
+ array(['of'], dtype=object) array(['American', 'families'], dtype=object)
+ array(['fell'], dtype=object) array(['0.2', '%'], dtype=object)
+ array(['the', 'first', 'time'], dtype=object) array(['it'], dtype=object)
+ array(['has', 'failed', 'to', 'rise'], dtype=object)
+ array(['since'], dtype=object) array(['1982'], dtype=object)]",['the' 'median' 'income'],['NP' 'VP' 'PP' 'PRT'],0
+"The Corsica and Beretta make up the highest-volume car line at Chevrolet , but sales of the cars are off 9.6 % for the year , and fell a steep 34.2 % early this month .","[array(['The', 'Corsica', 'and', 'Beretta'], dtype=object)
+ array(['make'], dtype=object) array(['up'], dtype=object)
+ array(['the', 'highest-volume', 'car', 'line'], dtype=object)
+ array(['at'], dtype=object) array(['Chevrolet'], dtype=object)
+ array(['sales'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'cars'], dtype=object) array(['are'], dtype=object)
+ array(['off'], dtype=object) array(['9.6', '%'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'year'], dtype=object)
+ array(['fell'], dtype=object)
+ array(['a', 'steep', '34.2', '%'], dtype=object)
+ array(['early', 'this', 'month'], dtype=object)]",['off'],['ADVP' 'PP' 'SBAR' 'NP'],0
+"The earthquake that hit the San Francisco Bay area is n't likely to result in wholesale downgrading of bond ratings , officials at the two major rating agencies said .","[array(['The', 'earthquake'], dtype=object) array(['that'], dtype=object)
+ array(['hit'], dtype=object)
+ array(['the', 'San', 'Francisco', 'Bay', 'area'], dtype=object)
+ array(['is'], dtype=object) array(['likely'], dtype=object)
+ array(['to', 'result'], dtype=object) array(['in'], dtype=object)
+ array(['wholesale', 'downgrading'], dtype=object)
+ array(['of'], dtype=object) array(['bond', 'ratings'], dtype=object)
+ array(['officials'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'two', 'major', 'rating', 'agencies'], dtype=object)
+ array(['said'], dtype=object)]",['The' 'earthquake'],['NP' 'PP' 'ADVP' 'VP'],0
+"He said Chase and the Atlas estate were looking to sell the entire building for $ 400 million to $ 475 million , but did n't get an offer for more than $ 375 million .","[array(['He'], dtype=object) array(['said'], dtype=object)
+ array(['Chase'], dtype=object)
+ array(['the', 'Atlas', 'estate'], dtype=object)
+ array(['were', 'looking', 'to', 'sell'], dtype=object)
+ array(['the', 'entire', 'building'], dtype=object)
+ array(['for'], dtype=object)
+ array(['$', '400', 'million', 'to', '$', '475', 'million'], dtype=object)
+ array(['did', ""n't"", 'get'], dtype=object)
+ array(['an', 'offer'], dtype=object) array(['for'], dtype=object)
+ array(['more', 'than', '$', '375', 'million'], dtype=object)]",['more' 'than' '$' '375' 'million'],['NP' 'PP' 'VP' 'ADVP'],0
+The meeting is expected to call for heightened austerity for two years .,"[array(['The', 'meeting'], dtype=object)
+ array(['is', 'expected', 'to', 'call'], dtype=object)
+ array(['for'], dtype=object)
+ array(['heightened', 'austerity'], dtype=object)
+ array(['for'], dtype=object) array(['two', 'years'], dtype=object)]",['for'],['PP' 'ADVP' 'NP' 'VP'],0
+The centers are complete with maps detailing utility lines beneath rides and `` safe havens '' where people can be assembled away from major structures .,"[array(['The', 'centers'], dtype=object) array(['are'], dtype=object)
+ array(['complete'], dtype=object) array(['with'], dtype=object)
+ array(['maps'], dtype=object) array(['detailing'], dtype=object)
+ array(['utility', 'lines'], dtype=object)
+ array(['beneath'], dtype=object) array(['rides'], dtype=object)
+ array(['safe', 'havens'], dtype=object) array(['where'], dtype=object)
+ array(['people'], dtype=object)
+ array(['can', 'be', 'assembled'], dtype=object)
+ array(['away'], dtype=object) array(['from'], dtype=object)
+ array(['major', 'structures'], dtype=object)]",['beneath'],['PP' 'ADVP' 'VP' 'NP'],0
+"Pioneer surged 450 yen -LRB- $ 3.16 -RRB- to 6,050 yen -LRB- $ 42.60 -RRB- .","[array(['Pioneer'], dtype=object) array(['surged'], dtype=object)
+ array(['450', 'yen'], dtype=object) array(['$', '3.16'], dtype=object)
+ array(['to'], dtype=object) array(['6,050', 'yen'], dtype=object)
+ array(['$', '42.60'], dtype=object)]",['$' '3.16'],['NP' 'ADVP' 'PP' 'VP'],0
+"Still , without the assurance of British Airways ' financial backing , it will be tougher for the buy-out group to convince already-reluctant banks to make loan commitments for a revised bid , especially since British Air 's original investment represented 78 % of the cash equity contribution for the bid .","[array(['Still'], dtype=object) array(['without'], dtype=object)
+ array(['the', 'assurance'], dtype=object) array(['of'], dtype=object)
+ array(['British', 'Airways'], dtype=object)
+ array([""'"", 'financial', 'backing'], dtype=object)
+ array(['it'], dtype=object) array(['will', 'be'], dtype=object)
+ array(['tougher'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'buy-out', 'group'], dtype=object)
+ array(['to', 'convince'], dtype=object)
+ array(['already-reluctant', 'banks'], dtype=object)
+ array(['to', 'make'], dtype=object)
+ array(['loan', 'commitments'], dtype=object) array(['for'], dtype=object)
+ array(['a', 'revised', 'bid'], dtype=object)
+ array(['especially'], dtype=object) array(['since'], dtype=object)
+ array(['British', 'Air'], dtype=object)
+ array([""'s"", 'original', 'investment'], dtype=object)
+ array(['represented'], dtype=object) array(['78', '%'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'cash', 'equity', 'contribution'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'bid'], dtype=object)]",['will' 'be'],['VP' 'ADVP' 'NP' 'PP'],0
+"Mr. Parker spins it into a pretty satisfying tale involving Poodle Springs high life , Hollywood low life and various folk who hang their hats in both worlds .","[array(['Mr.', 'Parker'], dtype=object) array(['spins'], dtype=object)
+ array(['it'], dtype=object) array(['into'], dtype=object)
+ array(['a', 'pretty', 'satisfying', 'tale'], dtype=object)
+ array(['involving'], dtype=object)
+ array(['Poodle', 'Springs', 'high', 'life'], dtype=object)
+ array(['Hollywood', 'low', 'life'], dtype=object)
+ array(['various', 'folk'], dtype=object) array(['who'], dtype=object)
+ array(['hang'], dtype=object) array(['their', 'hats'], dtype=object)
+ array(['in'], dtype=object) array(['both', 'worlds'], dtype=object)]",['Hollywood' 'low' 'life'],['NP' 'PP' 'ADVP' 'VP'],0
+Some note that Sony might have saved itself some trouble by just hiring Mr. Guber and letting Mr. Peters stay on to fulfill the Warner contract .,"[array(['Some'], dtype=object) array(['note'], dtype=object)
+ array(['that'], dtype=object) array(['Sony'], dtype=object)
+ array(['might', 'have', 'saved'], dtype=object)
+ array(['itself'], dtype=object) array(['some', 'trouble'], dtype=object)
+ array(['by'], dtype=object) array(['just', 'hiring'], dtype=object)
+ array(['Mr.', 'Guber'], dtype=object) array(['letting'], dtype=object)
+ array(['Mr.', 'Peters'], dtype=object) array(['stay'], dtype=object)
+ array(['on'], dtype=object) array(['to', 'fulfill'], dtype=object)
+ array(['the', 'Warner', 'contract'], dtype=object)]",['might' 'have' 'saved'],['VP' 'SBAR' 'NP' 'PP'],0
+"The loan guarantee would amount to about $ 127.5 million , or 85 % of the cost of the aircraft .","[array(['The', 'loan', 'guarantee'], dtype=object)
+ array(['would', 'amount'], dtype=object) array(['to'], dtype=object)
+ array(['about', '$', '127.5', 'million'], dtype=object)
+ array(['85', '%'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'cost'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'aircraft'], dtype=object)]",['to'],['PP' 'VP' 'SBAR' 'NP'],0
+"William Morrissey , 44 , was named executive vice president , world-wide director of McCann Direct , the direct marketing unit of Interpublic Group 's McCann-Erickson agency .","[array(['William', 'Morrissey'], dtype=object) array(['44'], dtype=object)
+ array(['was', 'named'], dtype=object)
+ array(['executive', 'vice', 'president'], dtype=object)
+ array(['world-wide', 'director'], dtype=object)
+ array(['of'], dtype=object) array(['McCann', 'Direct'], dtype=object)
+ array(['the', 'direct', 'marketing', 'unit'], dtype=object)
+ array(['of'], dtype=object) array(['Interpublic', 'Group'], dtype=object)
+ array([""'s"", 'McCann-Erickson', 'agency'], dtype=object)]",['world-wide' 'director'],['NP' 'VP' 'ADVP' 'PP'],0
+"William Morrissey , 44 , was named executive vice president , world-wide director of McCann Direct , the direct marketing unit of Interpublic Group 's McCann-Erickson agency .","[array(['William', 'Morrissey'], dtype=object) array(['44'], dtype=object)
+ array(['was', 'named'], dtype=object)
+ array(['executive', 'vice', 'president'], dtype=object)
+ array(['world-wide', 'director'], dtype=object)
+ array(['of'], dtype=object) array(['McCann', 'Direct'], dtype=object)
+ array(['the', 'direct', 'marketing', 'unit'], dtype=object)
+ array(['of'], dtype=object) array(['Interpublic', 'Group'], dtype=object)
+ array([""'s"", 'McCann-Erickson', 'agency'], dtype=object)]",['of'],['PP' 'ADVP' 'NP' 'VP'],0
+"Sales for the Deerfield , Ill. , company rose 5.8 % to $ 1.81 billion from $ 1.71 billion .","[array(['Sales'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'Deerfield', ',', 'Ill.', ',', 'company'], dtype=object)
+ array(['rose'], dtype=object) array(['5.8', '%'], dtype=object)
+ array(['to'], dtype=object) array(['$', '1.81', 'billion'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '1.71', 'billion'], dtype=object)]",['5.8' '%'],['NP' 'ADJP' 'VP' 'PP'],0
+"But now the possibility of `` diplomatic movement '' -LRB- Vietnam 's withdrawal , the Baker initiative -RRB- has put that plan on hold , with the proviso that if the going got rough , the U.S. would then rearm the opposition .","[array(['now'], dtype=object) array(['the', 'possibility'], dtype=object)
+ array(['of'], dtype=object)
+ array(['diplomatic', 'movement'], dtype=object)
+ array(['Vietnam'], dtype=object)
+ array([""'s"", 'withdrawal'], dtype=object)
+ array(['the', 'Baker', 'initiative'], dtype=object)
+ array(['has', 'put'], dtype=object) array(['that', 'plan'], dtype=object)
+ array(['on'], dtype=object) array(['hold'], dtype=object)
+ array(['with'], dtype=object) array(['the', 'proviso'], dtype=object)
+ array(['that'], dtype=object) array(['if'], dtype=object)
+ array(['the', 'going'], dtype=object) array(['got'], dtype=object)
+ array(['rough'], dtype=object) array(['the', 'U.S.'], dtype=object)
+ array(['would', 'then', 'rearm'], dtype=object)
+ array(['the', 'opposition'], dtype=object)]",['that' 'plan'],['NP' 'VP' 'ADJP' 'PP'],0
+"A couple in Rockford , Ill. , raised $ 12,591 earlier this year using the name and logo of Mothers Against Drunk Driving , without permission from the group .","[array(['A', 'couple'], dtype=object) array(['in'], dtype=object)
+ array(['Rockford'], dtype=object) array(['Ill.'], dtype=object)
+ array(['raised'], dtype=object) array(['$', '12,591'], dtype=object)
+ array(['earlier', 'this', 'year'], dtype=object)
+ array(['using'], dtype=object)
+ array(['the', 'name', 'and', 'logo'], dtype=object)
+ array(['of'], dtype=object) array(['Mothers'], dtype=object)
+ array(['Against'], dtype=object)
+ array(['Drunk', 'Driving'], dtype=object)
+ array(['without'], dtype=object) array(['permission'], dtype=object)
+ array(['from'], dtype=object) array(['the', 'group'], dtype=object)]",['Drunk' 'Driving'],['NP' 'PP' 'VP' 'SBAR'],0
+"They wear tuxedos most nights , unless circumstances -LRB- a regular gig at a `` tropical '' lounge , for example -RRB- require them to wear special costumes , like Hawaiian shirts .","[array(['They'], dtype=object) array(['wear'], dtype=object)
+ array(['tuxedos'], dtype=object) array(['most', 'nights'], dtype=object)
+ array(['unless'], dtype=object) array(['circumstances'], dtype=object)
+ array(['a', 'regular', 'gig'], dtype=object) array(['at'], dtype=object)
+ array(['a', '``', 'tropical', ""''"", 'lounge'], dtype=object)
+ array(['for'], dtype=object) array(['example'], dtype=object)
+ array(['require'], dtype=object) array(['them'], dtype=object)
+ array(['to', 'wear'], dtype=object)
+ array(['special', 'costumes'], dtype=object)
+ array(['like'], dtype=object) array(['Hawaiian', 'shirts'], dtype=object)]",['require'],['VP' 'PRT' 'PP' 'NP'],0
+"The federal funds would go to a range of programs , including the Federal Emergency Management Agency , highway construction accounts and the Small Business Administration , according to Rep. Vic Fazio -LRB- D. , Calif . -RRB- .","[array(['The', 'federal', 'funds'], dtype=object)
+ array(['would', 'go'], dtype=object) array(['to'], dtype=object)
+ array(['a', 'range'], dtype=object) array(['of'], dtype=object)
+ array(['programs'], dtype=object) array(['including'], dtype=object)
+ array(['the', 'Federal', 'Emergency', 'Management', 'Agency'],
+       dtype=object)
+ array(['highway', 'construction', 'accounts'], dtype=object)
+ array(['the', 'Small', 'Business', 'Administration'], dtype=object)
+ array(['according'], dtype=object) array(['to'], dtype=object)
+ array(['Rep.', 'Vic', 'Fazio'], dtype=object) array(['D.'], dtype=object)
+ array(['Calif'], dtype=object)]",['a' 'range'],['NP' 'ADJP' 'VP' 'PP'],0
+The size of the issue was decreased from an originally planned $ 95.2 million .,"[array(['The', 'size'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'issue'], dtype=object)
+ array(['was', 'decreased'], dtype=object) array(['from'], dtype=object)
+ array(['an', 'originally', 'planned', '$', '95.2', 'million'],
+       dtype=object)                                           ]",['from'],['PP' 'ADVP' 'VP' 'NP'],0
+But this is not where the rewards of junk financing were found .,"[array(['this'], dtype=object) array(['is'], dtype=object)
+ array(['where'], dtype=object) array(['the', 'rewards'], dtype=object)
+ array(['of'], dtype=object) array(['junk', 'financing'], dtype=object)
+ array(['were', 'found'], dtype=object)]",['were' 'found'],['VP' 'PP' 'NP' 'ADVP'],0
+"At Ameritech , based in Chicago , customer access lines increased by 402,000 , or 2.6 % , and cellular mobile lines increased by 80,000 , or 62.3 % , for the 12-month period ended Sept. 30 .","[array(['At'], dtype=object) array(['Ameritech'], dtype=object)
+ array(['based'], dtype=object) array(['in'], dtype=object)
+ array(['Chicago'], dtype=object)
+ array(['customer', 'access', 'lines'], dtype=object)
+ array(['increased'], dtype=object) array(['by'], dtype=object)
+ array(['402,000'], dtype=object) array(['2.6', '%'], dtype=object)
+ array(['cellular', 'mobile', 'lines'], dtype=object)
+ array(['increased'], dtype=object) array(['by'], dtype=object)
+ array(['80,000'], dtype=object) array(['62.3', '%'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', '12-month', 'period'], dtype=object)
+ array(['ended'], dtype=object) array(['Sept.', '30'], dtype=object)]",['in'],['PP' 'ADJP' 'VP' 'NP'],0
+"In races for the White House , a voter 's incentive , at the margin , is to lean Republican .","[array(['In'], dtype=object) array(['races'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'White', 'House'], dtype=object)
+ array(['a', 'voter'], dtype=object)
+ array([""'s"", 'incentive'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'margin'], dtype=object) array(['is'], dtype=object)
+ array(['to', 'lean'], dtype=object) array(['Republican'], dtype=object)]",['the' 'White' 'House'],['NP' 'ADVP' 'PP' 'SBAR'],0
+"The telecommunications company 's results included a one-time gain of $ 4 million , or two cents a share , from the sale of Contel Credit , a leasing and financial-services subsidiary .","[array(['The', 'telecommunications', 'company'], dtype=object)
+ array([""'s"", 'results'], dtype=object) array(['included'], dtype=object)
+ array(['a', 'one-time', 'gain'], dtype=object)
+ array(['of'], dtype=object) array(['$', '4', 'million'], dtype=object)
+ array(['two', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['from'], dtype=object) array(['the', 'sale'], dtype=object)
+ array(['of'], dtype=object) array(['Contel', 'Credit'], dtype=object)
+ array(['a', 'leasing', 'and', 'financial-services', 'subsidiary'],
+       dtype=object)                                               ]","[""'s"" 'results']",['NP' 'PP' 'SBAR' 'VP'],0
+"Digital Equipment has set up disaster-recovery response centers in Dallas , Atlanta and Colorado Springs , Colo .","[array(['Digital', 'Equipment'], dtype=object)
+ array(['has', 'set'], dtype=object) array(['up'], dtype=object)
+ array(['disaster-recovery', 'response', 'centers'], dtype=object)
+ array(['in'], dtype=object) array(['Dallas'], dtype=object)
+ array(['Atlanta'], dtype=object)
+ array(['Colorado', 'Springs'], dtype=object)
+ array(['Colo'], dtype=object)]",['in'],['PP' 'ADVP' 'NP' 'VP'],0
+They point out that September 's producer-price index showed a 0.9 % increase .,"[array(['They'], dtype=object) array(['point'], dtype=object)
+ array(['out'], dtype=object) array(['that'], dtype=object)
+ array(['September'], dtype=object)
+ array([""'s"", 'producer-price', 'index'], dtype=object)
+ array(['showed'], dtype=object)
+ array(['a', '0.9', '%', 'increase'], dtype=object)]",['showed'],['VP' 'PP' 'NP' 'SBAR'],0
+It may also expedite the SEC 's modest pending changes in junk-bond disclosure rules and intensify the Treasury 's look at plans for giving new tax breaks on dividends and raising taxes on short-term trades by pension funds .,"[array(['It'], dtype=object)
+ array(['may', 'also', 'expedite'], dtype=object)
+ array(['the', 'SEC'], dtype=object)
+ array([""'s"", 'modest', 'pending', 'changes'], dtype=object)
+ array(['in'], dtype=object)
+ array(['junk-bond', 'disclosure', 'rules'], dtype=object)
+ array(['intensify'], dtype=object)
+ array(['the', 'Treasury'], dtype=object)
+ array([""'s"", 'look'], dtype=object) array(['at'], dtype=object)
+ array(['plans'], dtype=object) array(['for'], dtype=object)
+ array(['giving'], dtype=object)
+ array(['new', 'tax', 'breaks'], dtype=object) array(['on'], dtype=object)
+ array(['dividends'], dtype=object) array(['raising'], dtype=object)
+ array(['taxes'], dtype=object) array(['on'], dtype=object)
+ array(['short-term', 'trades'], dtype=object) array(['by'], dtype=object)
+ array(['pension', 'funds'], dtype=object)]",['junk-bond' 'disclosure' 'rules'],['NP' 'VP' 'ADJP' 'PP'],0
+"The ensuing scandal , in which the bank 's management resigned , has helped renew calls for privatization , or at least an overhaul , of Italy 's banking system , which is about 80 % state-controlled .","[array(['The', 'ensuing', 'scandal'], dtype=object)
+ array(['in'], dtype=object) array(['which'], dtype=object)
+ array(['the', 'bank'], dtype=object)
+ array([""'s"", 'management'], dtype=object)
+ array(['resigned'], dtype=object)
+ array(['has', 'helped', 'renew'], dtype=object)
+ array(['calls'], dtype=object) array(['for'], dtype=object)
+ array(['privatization'], dtype=object)
+ array(['at', 'least'], dtype=object)
+ array(['an', 'overhaul'], dtype=object) array(['of'], dtype=object)
+ array(['Italy'], dtype=object)
+ array([""'s"", 'banking', 'system'], dtype=object)
+ array(['which'], dtype=object) array(['is'], dtype=object)
+ array(['about', '80', '%'], dtype=object)
+ array(['state-controlled'], dtype=object)]",['which'],['NP' 'PP' 'SBAR' 'VP'],0
+"The poll conducted by the Roper Organization interviewed 2,002 adults age 18 and older from July 7 to July 15 , 1989 .","[array(['The', 'poll'], dtype=object) array(['conducted'], dtype=object)
+ array(['by'], dtype=object)
+ array(['the', 'Roper', 'Organization'], dtype=object)
+ array(['interviewed'], dtype=object)
+ array(['2,002', 'adults'], dtype=object)
+ array(['age', '18'], dtype=object) array(['older'], dtype=object)
+ array(['from'], dtype=object) array(['July', '7'], dtype=object)
+ array(['to'], dtype=object)
+ array(['July', '15', ',', '1989'], dtype=object)]","['July' '15' ',' '1989']",['NP' 'VP' 'ADVP' 'PP'],0
+"The new agency group is already in discussions about a possible purchase in Spain , while Mr. Breene said it also plans to make acquisitions in Scandinavia , Germany and elsewhere .","[array(['The', 'new', 'agency', 'group'], dtype=object)
+ array(['is'], dtype=object) array(['already'], dtype=object)
+ array(['in'], dtype=object) array(['discussions'], dtype=object)
+ array(['about'], dtype=object)
+ array(['a', 'possible', 'purchase'], dtype=object)
+ array(['in'], dtype=object) array(['Spain'], dtype=object)
+ array(['while'], dtype=object) array(['Mr.', 'Breene'], dtype=object)
+ array(['said'], dtype=object) array(['it'], dtype=object)
+ array(['also'], dtype=object)
+ array(['plans', 'to', 'make'], dtype=object)
+ array(['acquisitions'], dtype=object) array(['in'], dtype=object)
+ array(['Scandinavia', ',', 'Germany'], dtype=object)
+ array(['elsewhere'], dtype=object)]",['it'],['NP' 'ADJP' 'PP' 'VP'],0
+Dealers said junk bond issues on average were up by 1\/4 to 1\/2 point with so-called quality issues from RJR Capital Holdings Corp. and Petrolane Gas Service Limited Partnership posting one-point gains .,"[array(['Dealers'], dtype=object) array(['said'], dtype=object)
+ array(['junk', 'bond', 'issues'], dtype=object)
+ array(['on'], dtype=object) array(['average'], dtype=object)
+ array(['were'], dtype=object) array(['up'], dtype=object)
+ array(['by'], dtype=object)
+ array(['1\\/4', 'to', '1\\/2', 'point'], dtype=object)
+ array(['with'], dtype=object)
+ array(['so-called', 'quality', 'issues'], dtype=object)
+ array(['from'], dtype=object)
+ array(['RJR', 'Capital', 'Holdings', 'Corp.'], dtype=object)
+ array(['Petrolane', 'Gas', 'Service', 'Limited', 'Partnership'],
+       dtype=object)
+ array(['posting'], dtype=object)
+ array(['one-point', 'gains'], dtype=object)]",['from'],['PP' 'ADVP' 'NP' 'VP'],0
+The 30 industrials led the market higher from the opening bell as foreign buyers stepped in .,"[array(['The', '30', 'industrials'], dtype=object)
+ array(['led'], dtype=object) array(['the', 'market'], dtype=object)
+ array(['higher'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'opening', 'bell'], dtype=object)
+ array(['as'], dtype=object) array(['foreign', 'buyers'], dtype=object)
+ array(['stepped'], dtype=object) array(['in'], dtype=object)]",['foreign' 'buyers'],['NP' 'VP' 'PRT' 'ADVP'],0
+"At Kidder , Peabody & Co. 's Sacramento branch , Manager Janet White received calls yesterday morning from workers in San Francisco who offered to work in Sacramento .","[array(['At'], dtype=object)
+ array(['Kidder', ',', 'Peabody', '&', 'Co.'], dtype=object)
+ array([""'s"", 'Sacramento', 'branch'], dtype=object)
+ array(['Manager', 'Janet', 'White'], dtype=object)
+ array(['received'], dtype=object) array(['calls'], dtype=object)
+ array(['yesterday', 'morning'], dtype=object)
+ array(['from'], dtype=object) array(['workers'], dtype=object)
+ array(['in'], dtype=object) array(['San', 'Francisco'], dtype=object)
+ array(['who'], dtype=object)
+ array(['offered', 'to', 'work'], dtype=object)
+ array(['in'], dtype=object) array(['Sacramento'], dtype=object)]",['Manager' 'Janet' 'White'],['NP' 'PP' 'VP' 'ADVP'],0
+McCaw Cellular Communications Inc. said it sent a letter to LIN Broadcasting Corp. clarifying its revised tender offer for LIN and asking LIN to conduct `` a fair auction . '',"[array(['McCaw', 'Cellular', 'Communications', 'Inc.'], dtype=object)
+ array(['said'], dtype=object) array(['it'], dtype=object)
+ array(['sent'], dtype=object) array(['a', 'letter'], dtype=object)
+ array(['to'], dtype=object)
+ array(['LIN', 'Broadcasting', 'Corp.'], dtype=object)
+ array(['clarifying'], dtype=object)
+ array(['its', 'revised', 'tender', 'offer'], dtype=object)
+ array(['for'], dtype=object) array(['LIN'], dtype=object)
+ array(['asking'], dtype=object) array(['LIN'], dtype=object)
+ array(['to', 'conduct'], dtype=object)
+ array(['a', 'fair', 'auction'], dtype=object)]",['LIN'],['NP' 'VP' 'ADJP' 'PP'],0
+One recent Saturday morning he stayed inside the Capitol monitoring tax-and-budget talks instead of flying to San Francisco for a fund-raiser and then to his hometown of Chicago for the 30th reunion of St. Ignatius High School .,"[array(['One', 'recent', 'Saturday', 'morning'], dtype=object)
+ array(['he'], dtype=object) array(['stayed'], dtype=object)
+ array(['inside'], dtype=object) array(['the', 'Capitol'], dtype=object)
+ array(['monitoring'], dtype=object)
+ array(['tax-and-budget', 'talks'], dtype=object)
+ array(['instead', 'of'], dtype=object) array(['flying'], dtype=object)
+ array(['to'], dtype=object) array(['San', 'Francisco'], dtype=object)
+ array(['for'], dtype=object) array(['a', 'fund-raiser'], dtype=object)
+ array(['then'], dtype=object) array(['to'], dtype=object)
+ array(['his', 'hometown'], dtype=object) array(['of'], dtype=object)
+ array(['Chicago'], dtype=object) array(['for'], dtype=object)
+ array(['the', '30th', 'reunion'], dtype=object)
+ array(['of'], dtype=object)
+ array(['St.', 'Ignatius', 'High', 'School'], dtype=object)]",['tax-and-budget' 'talks'],['NP' 'PP' 'ADVP' 'VP'],0
+"Although such a venture would n't match the `` fourth network '' created by News Corp. 's Fox Broadcasting Co. , MCA and Paramount may have similar ambitions .","[array(['Although'], dtype=object)
+ array(['such', 'a', 'venture'], dtype=object)
+ array(['would', ""n't"", 'match'], dtype=object)
+ array(['the', '``', 'fourth', 'network'], dtype=object)
+ array(['created'], dtype=object) array(['by'], dtype=object)
+ array(['News', 'Corp.'], dtype=object)
+ array([""'s"", 'Fox', 'Broadcasting', 'Co.'], dtype=object)
+ array(['MCA', 'and', 'Paramount'], dtype=object)
+ array(['may', 'have'], dtype=object)
+ array(['similar', 'ambitions'], dtype=object)]",['such' 'a' 'venture'],['NP' 'ADVP' 'SBAR' 'VP'],0
+"In a statement , Craig O. McCaw , chairman and chief executive officer of McCaw , said : `` We trust LIN will take no further actions that favor BellSouth . ''","[array(['In'], dtype=object) array(['a', 'statement'], dtype=object)
+ array(['Craig', 'O.', 'McCaw'], dtype=object)
+ array(['chairman'], dtype=object)
+ array(['chief', 'executive', 'officer'], dtype=object)
+ array(['of'], dtype=object) array(['McCaw'], dtype=object)
+ array(['said'], dtype=object) array(['We'], dtype=object)
+ array(['trust'], dtype=object) array(['LIN'], dtype=object)
+ array(['will', 'take'], dtype=object)
+ array(['no', 'further', 'actions'], dtype=object)
+ array(['that'], dtype=object) array(['favor'], dtype=object)
+ array(['BellSouth'], dtype=object)]",['In'],['PP' 'ADJP' 'NP' 'VP'],0
+Nor will students from racial-minority groups who are admitted through the new category be counted against the affirmative-action `` target '' for their group .,"[array(['students'], dtype=object) array(['from'], dtype=object)
+ array(['racial-minority', 'groups'], dtype=object)
+ array(['who'], dtype=object) array(['are', 'admitted'], dtype=object)
+ array(['through'], dtype=object)
+ array(['the', 'new', 'category'], dtype=object)
+ array(['be', 'counted'], dtype=object) array(['against'], dtype=object)
+ array(['the', 'affirmative-action', '``', 'target'], dtype=object)
+ array(['for'], dtype=object) array(['their', 'group'], dtype=object)]",['through'],['PP' 'VP' 'NP' 'ADVP'],0
+Oil prices initially rose on fears that the massive earthquake in Northern California would disrupt production .,"[array(['Oil', 'prices'], dtype=object) array(['initially'], dtype=object)
+ array(['rose'], dtype=object) array(['on'], dtype=object)
+ array(['fears'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'massive', 'earthquake'], dtype=object)
+ array(['in'], dtype=object)
+ array(['Northern', 'California'], dtype=object)
+ array(['would', 'disrupt'], dtype=object)
+ array(['production'], dtype=object)]",['on'],['PP' 'VP' 'ADVP' 'NP'],0
+"One sign of a possible easing of credit policy was the decision this week of People 's Bank of China , the central bank , to allocate $ 5.4 billion in short-term loans to pay farmers for the autumn harvest , the official China Daily reported .","[array(['One', 'sign'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'possible', 'easing'], dtype=object)
+ array(['of'], dtype=object) array(['credit', 'policy'], dtype=object)
+ array(['was'], dtype=object) array(['the', 'decision'], dtype=object)
+ array(['this', 'week'], dtype=object) array(['of'], dtype=object)
+ array(['People'], dtype=object) array([""'s"", 'Bank'], dtype=object)
+ array(['of'], dtype=object) array(['China'], dtype=object)
+ array(['the', 'central', 'bank'], dtype=object)
+ array(['to', 'allocate'], dtype=object)
+ array(['$', '5.4', 'billion'], dtype=object) array(['in'], dtype=object)
+ array(['short-term', 'loans'], dtype=object)
+ array(['to', 'pay'], dtype=object) array(['farmers'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'autumn', 'harvest'], dtype=object)
+ array(['the', 'official', 'China', 'Daily'], dtype=object)
+ array(['reported'], dtype=object)]",['the' 'official' 'China' 'Daily'],['NP' 'PP' 'VP' 'ADJP'],0
+"Saatchi & Saatchi has attracted offers for some of its advertising units but has rejected them , sources said .","[array(['Saatchi', '&', 'Saatchi'], dtype=object)
+ array(['has', 'attracted'], dtype=object) array(['offers'], dtype=object)
+ array(['for'], dtype=object) array(['some'], dtype=object)
+ array(['of'], dtype=object)
+ array(['its', 'advertising', 'units'], dtype=object)
+ array(['has', 'rejected'], dtype=object) array(['them'], dtype=object)
+ array(['sources'], dtype=object) array(['said'], dtype=object)]",['of'],['PP' 'SBAR' 'VP' 'NP'],0
+Revenue increased 22 % to $ 2.5 billion from $ 2.1 billion .,"[array(['Revenue'], dtype=object) array(['increased'], dtype=object)
+ array(['22', '%'], dtype=object) array(['to'], dtype=object)
+ array(['$', '2.5', 'billion'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '2.1', 'billion'], dtype=object)]",['Revenue'],['NP' 'PP' 'ADVP' 'VP'],0
+"It also opened the door to furs made in South Korea , China , Hong Kong and other countries .","[array(['It'], dtype=object) array(['also'], dtype=object)
+ array(['opened'], dtype=object) array(['the', 'door'], dtype=object)
+ array(['to'], dtype=object) array(['furs'], dtype=object)
+ array(['made'], dtype=object) array(['in'], dtype=object)
+ array(['South', 'Korea'], dtype=object) array(['China'], dtype=object)
+ array(['Hong', 'Kong'], dtype=object)
+ array(['other', 'countries'], dtype=object)]",['also'],['ADVP' 'VP' 'PP' 'NP'],0
+"Two weeks ago , in a campaign to blunt inflation at home and arrest a world-wide plunge in the pound , he raised base rates a full percentage point to 15 % .","[array(['Two', 'weeks'], dtype=object) array(['ago'], dtype=object)
+ array(['in'], dtype=object) array(['a', 'campaign'], dtype=object)
+ array(['to', 'blunt'], dtype=object) array(['inflation'], dtype=object)
+ array(['at'], dtype=object) array(['home'], dtype=object)
+ array(['arrest'], dtype=object)
+ array(['a', 'world-wide', 'plunge'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'pound'], dtype=object)
+ array(['he'], dtype=object) array(['raised'], dtype=object)
+ array(['base', 'rates'], dtype=object)
+ array(['a', 'full', 'percentage', 'point'], dtype=object)
+ array(['to'], dtype=object) array(['15', '%'], dtype=object)]",['Two' 'weeks'],['NP' 'ADVP' 'VP' 'ADJP'],0
+"As a result , some securities analysts had predicted in recent days that IBM would authorize additional purchases .","[array(['As'], dtype=object) array(['a', 'result'], dtype=object)
+ array(['some', 'securities', 'analysts'], dtype=object)
+ array(['had', 'predicted'], dtype=object) array(['in'], dtype=object)
+ array(['recent', 'days'], dtype=object) array(['that'], dtype=object)
+ array(['IBM'], dtype=object) array(['would', 'authorize'], dtype=object)
+ array(['additional', 'purchases'], dtype=object)]",['As'],['PP' 'NP' 'VP' 'ADVP'],0
+"In addition , Whitbread intends to focus on its newer hotel , liquor store and restaurant businesses in Europe and North America .","[array(['In'], dtype=object) array(['addition'], dtype=object)
+ array(['Whitbread'], dtype=object)
+ array(['intends', 'to', 'focus'], dtype=object)
+ array(['on'], dtype=object)
+ array(['its', 'newer', 'hotel', ',', 'liquor', 'store', 'and',
+        'restaurant', 'businesses'], dtype=object)
+ array(['in'], dtype=object) array(['Europe'], dtype=object)
+ array(['North', 'America'], dtype=object)]",['intends' 'to' 'focus'],['VP' 'PRT' 'PP' 'NP'],0
+George A. Wiegers,"[array(['George', 'A.', 'Wiegers'], dtype=object)]",['George' 'A.' 'Wiegers'],['NP' 'ADVP' 'ADJP' 'VP'],0
+"Canadian steel ingot production totaled 276,334 metric tons in the week ended Oct. 14 , down 5.3 % from the preceding week 's total of 291,890 tons , Statistics Canada , a federal agency , said .","[array(['Canadian', 'steel', 'ingot', 'production'], dtype=object)
+ array(['totaled'], dtype=object)
+ array(['276,334', 'metric', 'tons'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'week'], dtype=object)
+ array(['ended'], dtype=object) array(['Oct.', '14'], dtype=object)
+ array(['down'], dtype=object) array(['5.3', '%'], dtype=object)
+ array(['from'], dtype=object)
+ array(['the', 'preceding', 'week'], dtype=object)
+ array([""'s"", 'total'], dtype=object) array(['of'], dtype=object)
+ array(['291,890', 'tons'], dtype=object)
+ array(['Statistics', 'Canada'], dtype=object)
+ array(['a', 'federal', 'agency'], dtype=object)
+ array(['said'], dtype=object)]",['from'],['PP' 'SBAR' 'VP' 'NP'],0
+"The companies are followed by at least three analysts , and had a minimum five-cent change in actual earnings per share .","[array(['The', 'companies'], dtype=object)
+ array(['are', 'followed'], dtype=object) array(['by'], dtype=object)
+ array(['at', 'least', 'three', 'analysts'], dtype=object)
+ array(['had'], dtype=object)
+ array(['a', 'minimum', 'five-cent', 'change'], dtype=object)
+ array(['in'], dtype=object) array(['actual', 'earnings'], dtype=object)
+ array(['per'], dtype=object) array(['share'], dtype=object)]",['actual' 'earnings'],['NP' 'ADJP' 'VP' 'PP'],0
+"Lawmakers scrapped all of a $ 7.4 million State Department request for the 1992 Expo in Seville , Spain , but agreed elsewhere to $ 15,000 for an oil portrait of former Chief Justice Warren Burger .","[array(['Lawmakers'], dtype=object) array(['scrapped'], dtype=object)
+ array(['all'], dtype=object) array(['of'], dtype=object)
+ array(['a', '$', '7.4', 'million', 'State', 'Department', 'request'],
+       dtype=object)
+ array(['for'], dtype=object) array(['the', '1992', 'Expo'], dtype=object)
+ array(['in'], dtype=object) array(['Seville'], dtype=object)
+ array(['Spain'], dtype=object) array(['agreed'], dtype=object)
+ array(['elsewhere'], dtype=object) array(['to'], dtype=object)
+ array(['$', '15,000'], dtype=object) array(['for'], dtype=object)
+ array(['an', 'oil', 'portrait'], dtype=object)
+ array(['of'], dtype=object)
+ array(['former', 'Chief', 'Justice', 'Warren', 'Burger'], dtype=object)]",['of'],['PP' 'VP' 'ADVP' 'NP'],0
+That unit of its Georgia Kaolin Co. subsidiary was sold to a unit of Unimin Corp .,"[array(['That', 'unit'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'Georgia', 'Kaolin', 'Co.', 'subsidiary'], dtype=object)
+ array(['was', 'sold'], dtype=object) array(['to'], dtype=object)
+ array(['a', 'unit'], dtype=object) array(['of'], dtype=object)
+ array(['Unimin', 'Corp'], dtype=object)]",['of'],['PP' 'SBAR' 'NP' 'VP'],0
+"Even such a pro-life stalwart as Sen. Orrin Hatch -LRB- R. , Utah -RRB- had counseled some kind of compromise .","[array(['Even', 'such', 'a', 'pro-life', 'stalwart'], dtype=object)
+ array(['as'], dtype=object)
+ array(['Sen.', 'Orrin', 'Hatch'], dtype=object)
+ array(['R.'], dtype=object) array(['Utah'], dtype=object)
+ array(['had', 'counseled'], dtype=object)
+ array(['some', 'kind'], dtype=object) array(['of'], dtype=object)
+ array(['compromise'], dtype=object)]",['of'],['PP' 'VP' 'SBAR' 'NP'],0
+"One possible solution for Wall Street is to increase the equity part of the transaction -- that is , give lenders a bigger stake in the surviving company rather than just interest payments .","[array(['One', 'possible', 'solution'], dtype=object)
+ array(['for'], dtype=object) array(['Wall', 'Street'], dtype=object)
+ array(['is'], dtype=object) array(['to', 'increase'], dtype=object)
+ array(['the', 'equity', 'part'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'transaction'], dtype=object)
+ array(['that'], dtype=object) array(['is'], dtype=object)
+ array(['give'], dtype=object) array(['lenders'], dtype=object)
+ array(['a', 'bigger', 'stake'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'surviving', 'company'], dtype=object)
+ array(['rather', 'than'], dtype=object)
+ array(['just', 'interest', 'payments'], dtype=object)]",['for'],['PP' 'NP' 'VP' 'ADVP'],0
+Officials expect difficulty routing traffic through downtown San Francisco .,"[array(['Officials'], dtype=object) array(['expect'], dtype=object)
+ array(['difficulty'], dtype=object) array(['routing'], dtype=object)
+ array(['traffic'], dtype=object) array(['through'], dtype=object)
+ array(['downtown', 'San', 'Francisco'], dtype=object)]",['expect'],['VP' 'ADVP' 'PP' 'NP'],0
+"FADA , which holds problem assets of thrifts that were closed before the bailout legislation was enacted , is being liquidated .","[array(['FADA'], dtype=object) array(['which'], dtype=object)
+ array(['holds'], dtype=object) array(['problem', 'assets'], dtype=object)
+ array(['of'], dtype=object) array(['thrifts'], dtype=object)
+ array(['that'], dtype=object) array(['were', 'closed'], dtype=object)
+ array(['before'], dtype=object)
+ array(['the', 'bailout', 'legislation'], dtype=object)
+ array(['was', 'enacted'], dtype=object)
+ array(['is', 'being', 'liquidated'], dtype=object)]",['which'],['NP' 'SBAR' 'PP' 'VP'],0
+"Also , the analyst said , economic circumstances are such that both South Africa and the Soviet Union , the principal gold and platinum producers , are being forced to continue selling the metals .","[array(['Also'], dtype=object) array(['the', 'analyst'], dtype=object)
+ array(['said'], dtype=object)
+ array(['economic', 'circumstances'], dtype=object)
+ array(['are'], dtype=object) array(['such'], dtype=object)
+ array(['that'], dtype=object) array(['both'], dtype=object)
+ array(['South', 'Africa'], dtype=object)
+ array(['the', 'Soviet', 'Union'], dtype=object)
+ array(['the', 'principal', 'gold', 'and', 'platinum', 'producers'],
+       dtype=object)
+ array(['are', 'being', 'forced', 'to', 'continue', 'selling'],
+       dtype=object)
+ array(['the', 'metals'], dtype=object)]",['are'],['VP' 'PP' 'ADJP' 'NP'],0
+"Since local benefit-seeking matters more and national policy making matters less in the lower chamber of Congress , this is precisely the pattern one would expect if Republicans are less willing to engage in local benefit-seeking than their Democratic counterparts .","[array(['Since'], dtype=object)
+ array(['local', 'benefit-seeking'], dtype=object)
+ array(['matters'], dtype=object) array(['more'], dtype=object)
+ array(['national', 'policy', 'making'], dtype=object)
+ array(['matters'], dtype=object) array(['less'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'lower', 'chamber'], dtype=object)
+ array(['of'], dtype=object) array(['Congress'], dtype=object)
+ array(['this'], dtype=object) array(['is'], dtype=object)
+ array(['precisely'], dtype=object)
+ array(['the', 'pattern'], dtype=object) array(['one'], dtype=object)
+ array(['would', 'expect'], dtype=object) array(['if'], dtype=object)
+ array(['Republicans'], dtype=object) array(['are'], dtype=object)
+ array(['less', 'willing'], dtype=object)
+ array(['to', 'engage'], dtype=object) array(['in'], dtype=object)
+ array(['local', 'benefit-seeking'], dtype=object)
+ array(['than'], dtype=object)
+ array(['their', 'Democratic', 'counterparts'], dtype=object)]",['more'],['ADVP' 'NP' 'SBAR' 'PP'],0
+"Some provisions would let me collect a percentage of the policy 's face value to pay for long-term care such as nursing-home stays ; others would allow payments for catastrophic illnesses and conditions such as cancer , heart attarcks , renal failure and kidney transplants .","[array(['Some', 'provisions'], dtype=object)
+ array(['would', 'let'], dtype=object) array(['me'], dtype=object)
+ array(['collect'], dtype=object) array(['a', 'percentage'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'policy'], dtype=object)
+ array([""'s"", 'face', 'value'], dtype=object)
+ array(['to', 'pay'], dtype=object) array(['for'], dtype=object)
+ array(['long-term', 'care'], dtype=object)
+ array(['such', 'as'], dtype=object)
+ array(['nursing-home', 'stays'], dtype=object)
+ array(['others'], dtype=object) array(['would', 'allow'], dtype=object)
+ array(['payments'], dtype=object) array(['for'], dtype=object)
+ array(['catastrophic', 'illnesses', 'and', 'conditions'], dtype=object)
+ array(['such', 'as'], dtype=object) array(['cancer'], dtype=object)
+ array(['heart', 'attarcks'], dtype=object)
+ array(['renal', 'failure'], dtype=object)
+ array(['kidney', 'transplants'], dtype=object)]",['long-term' 'care'],['NP' 'ADVP' 'PP' 'VP'],0
+"As a result , some securities analysts had predicted in recent days that IBM would authorize additional purchases .","[array(['As'], dtype=object) array(['a', 'result'], dtype=object)
+ array(['some', 'securities', 'analysts'], dtype=object)
+ array(['had', 'predicted'], dtype=object) array(['in'], dtype=object)
+ array(['recent', 'days'], dtype=object) array(['that'], dtype=object)
+ array(['IBM'], dtype=object) array(['would', 'authorize'], dtype=object)
+ array(['additional', 'purchases'], dtype=object)]",['in'],['PP' 'SBAR' 'NP' 'VP'],0
+IBM rose 2 3\/8 to 104 1\/8 as 2.2 million shares changed hands .,"[array(['IBM'], dtype=object) array(['rose'], dtype=object)
+ array(['2', '3\\/8'], dtype=object) array(['to'], dtype=object)
+ array(['104', '1\\/8'], dtype=object) array(['as'], dtype=object)
+ array(['2.2', 'million', 'shares'], dtype=object)
+ array(['changed'], dtype=object) array(['hands'], dtype=object)]",['IBM'],['NP' 'SBAR' 'PP' 'VP'],0
+NEW ENGLAND CRITICAL CARE Inc. offered $ 35 million in convertible subordinated debentures through Morgan Stanley & Co. and Prudential-Bache Capital Funding .,"[array(['NEW', 'ENGLAND', 'CRITICAL', 'CARE', 'Inc.'], dtype=object)
+ array(['offered'], dtype=object)
+ array(['$', '35', 'million'], dtype=object) array(['in'], dtype=object)
+ array(['convertible', 'subordinated', 'debentures'], dtype=object)
+ array(['through'], dtype=object)
+ array(['Morgan', 'Stanley', '&', 'Co.'], dtype=object)
+ array(['Prudential-Bache', 'Capital', 'Funding'], dtype=object)]",['$' '35' 'million'],['NP' 'SBAR' 'VP' 'PP'],0
+"Finally , IBM had to delay the introduction of some high-end disk drives , which account for 10 % of its $ 60 billion of annual revenue .","[array(['Finally'], dtype=object) array(['IBM'], dtype=object)
+ array(['had', 'to', 'delay'], dtype=object)
+ array(['the', 'introduction'], dtype=object) array(['of'], dtype=object)
+ array(['some', 'high-end', 'disk', 'drives'], dtype=object)
+ array(['which'], dtype=object) array(['account'], dtype=object)
+ array(['for'], dtype=object) array(['10', '%'], dtype=object)
+ array(['of'], dtype=object)
+ array(['its', '$', '60', 'billion'], dtype=object)
+ array(['of'], dtype=object) array(['annual', 'revenue'], dtype=object)]",['for'],['PP' 'NP' 'VP' 'SBAR'],0
+"`` That obviously means that we wo n't have enough for all of the emergencies that are now facing us , and we will have to consider appropriate requests for follow-on funding , '' Mr. Fitzwater said .","[array(['That'], dtype=object) array(['obviously'], dtype=object)
+ array(['means'], dtype=object) array(['that'], dtype=object)
+ array(['we'], dtype=object) array(['wo', ""n't"", 'have'], dtype=object)
+ array(['enough'], dtype=object) array(['for'], dtype=object)
+ array(['all'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'emergencies'], dtype=object) array(['that'], dtype=object)
+ array(['are', 'now', 'facing'], dtype=object) array(['us'], dtype=object)
+ array(['we'], dtype=object)
+ array(['will', 'have', 'to', 'consider'], dtype=object)
+ array(['appropriate', 'requests'], dtype=object)
+ array(['for'], dtype=object)
+ array(['follow-on', 'funding'], dtype=object)
+ array(['Mr.', 'Fitzwater'], dtype=object) array(['said'], dtype=object)]",['for'],['PP' 'VP' 'NP' 'PRT'],0
+"Underwear scored a middling 36 % in brand loyalty , but consumer researchers say that 's actually quite high for such a mundane product .","[array(['Underwear'], dtype=object) array(['scored'], dtype=object)
+ array(['a', 'middling', '36', '%'], dtype=object)
+ array(['in'], dtype=object) array(['brand', 'loyalty'], dtype=object)
+ array(['consumer', 'researchers'], dtype=object)
+ array(['say'], dtype=object) array(['that'], dtype=object)
+ array([""'s""], dtype=object) array(['actually'], dtype=object)
+ array(['quite', 'high'], dtype=object) array(['for'], dtype=object)
+ array(['such', 'a', 'mundane', 'product'], dtype=object)]",['actually'],['ADVP' 'VP' 'NP' 'ADJP'],0
+"In Armonk , N.Y. , a spokesman said that although IBM did n't view its spending as necessarily a way to support the stock , it thought the purchases were a good way to improve such financial measurements as per-share earnings and return on equity .","[array(['In'], dtype=object) array(['Armonk'], dtype=object)
+ array(['N.Y.'], dtype=object) array(['a', 'spokesman'], dtype=object)
+ array(['said'], dtype=object) array(['that'], dtype=object)
+ array(['although'], dtype=object) array(['IBM'], dtype=object)
+ array(['did', ""n't"", 'view'], dtype=object)
+ array(['its', 'spending'], dtype=object) array(['as'], dtype=object)
+ array(['necessarily', 'a', 'way'], dtype=object)
+ array(['to', 'support'], dtype=object)
+ array(['the', 'stock'], dtype=object) array(['it'], dtype=object)
+ array(['thought'], dtype=object)
+ array(['the', 'purchases'], dtype=object) array(['were'], dtype=object)
+ array(['a', 'good', 'way'], dtype=object)
+ array(['to', 'improve'], dtype=object)
+ array(['such', 'financial', 'measurements'], dtype=object)
+ array(['as'], dtype=object)
+ array(['per-share', 'earnings'], dtype=object)
+ array(['return'], dtype=object) array(['on'], dtype=object)
+ array(['equity'], dtype=object)]",['In'],['PP' 'ADJP' 'VP' 'NP'],0
+"The large increase in Customs Service air-interdiction funds is also intended to counter smuggling , and the annual appropriations level has more than quadrupled in five years .","[array(['The', 'large', 'increase'], dtype=object)
+ array(['in'], dtype=object)
+ array(['Customs', 'Service', 'air-interdiction', 'funds'], dtype=object)
+ array(['is', 'also', 'intended', 'to', 'counter'], dtype=object)
+ array(['smuggling'], dtype=object)
+ array(['the', 'annual', 'appropriations', 'level'], dtype=object)
+ array(['has', 'more', 'than', 'quadrupled'], dtype=object)
+ array(['in'], dtype=object) array(['five', 'years'], dtype=object)]",['Customs' 'Service' 'air-interdiction' 'funds'],['NP' 'PP' 'ADVP' 'VP'],0
+Revenue declined 6.3 % to $ 1.11 billion from $ 1.18 billion .,"[array(['Revenue'], dtype=object) array(['declined'], dtype=object)
+ array(['6.3', '%'], dtype=object) array(['to'], dtype=object)
+ array(['$', '1.11', 'billion'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '1.18', 'billion'], dtype=object)]",['to'],['PP' 'ADJP' 'NP' 'VP'],0
+"If Colgate toothpaste offers a tempting money-saving coupon , she 'll cross Crest off her shopping list without a second thought .","[array(['If'], dtype=object)
+ array(['Colgate', 'toothpaste'], dtype=object)
+ array(['offers'], dtype=object)
+ array(['a', 'tempting', 'money-saving', 'coupon'], dtype=object)
+ array(['she'], dtype=object) array([""'ll"", 'cross'], dtype=object)
+ array(['Crest'], dtype=object) array(['off'], dtype=object)
+ array(['her', 'shopping', 'list'], dtype=object)
+ array(['without'], dtype=object)
+ array(['a', 'second', 'thought'], dtype=object)]",['she'],['NP' 'PP' 'ADVP' 'VP'],0
+Digital hopes to address that with the debut of its first mainframe-class computers next Tuesday .,"[array(['Digital'], dtype=object)
+ array(['hopes', 'to', 'address'], dtype=object)
+ array(['that'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'debut'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'first', 'mainframe-class', 'computers'], dtype=object)
+ array(['next', 'Tuesday'], dtype=object)]",['next' 'Tuesday'],['NP' 'SBAR' 'VP' 'PP'],0
+"The accusations of lying and duplicity are flying thick and fast on both sides : As one Sony executive puts it , `` It 's World War III . ''","[array(['The', 'accusations'], dtype=object) array(['of'], dtype=object)
+ array(['lying', 'and', 'duplicity'], dtype=object)
+ array(['are', 'flying'], dtype=object)
+ array(['thick', 'and', 'fast'], dtype=object) array(['on'], dtype=object)
+ array(['both', 'sides'], dtype=object) array(['As'], dtype=object)
+ array(['one', 'Sony', 'executive'], dtype=object)
+ array(['puts'], dtype=object) array(['it'], dtype=object)
+ array(['It'], dtype=object) array([""'s""], dtype=object)
+ array(['World', 'War', 'III'], dtype=object)]",['World' 'War' 'III'],['NP' 'PP' 'ADJP' 'VP'],0
+The Senate rejected a constitutional amendment sought by Bush to prohibit desecration of the U.S. flag .,"[array(['The', 'Senate'], dtype=object) array(['rejected'], dtype=object)
+ array(['a', 'constitutional', 'amendment'], dtype=object)
+ array(['sought'], dtype=object) array(['by'], dtype=object)
+ array(['Bush'], dtype=object) array(['to', 'prohibit'], dtype=object)
+ array(['desecration'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'U.S.', 'flag'], dtype=object)]",['The' 'Senate'],['NP' 'SBAR' 'ADJP' 'ADVP'],0
+"Their stock in trade as `` executive producers '' is sniffing out hot properties , locking them up and then getting big studios to bankroll and distribute them .","[array(['Their', 'stock'], dtype=object) array(['in'], dtype=object)
+ array(['trade'], dtype=object) array(['as'], dtype=object)
+ array(['``', 'executive', 'producers'], dtype=object)
+ array(['is', 'sniffing'], dtype=object) array(['out'], dtype=object)
+ array(['hot', 'properties'], dtype=object)
+ array(['locking'], dtype=object) array(['them'], dtype=object)
+ array(['up'], dtype=object) array(['then', 'getting'], dtype=object)
+ array(['big', 'studios'], dtype=object)
+ array(['to', 'bankroll', 'and', 'distribute'], dtype=object)
+ array(['them'], dtype=object)]",['up'],['PRT' 'SBAR' 'NP' 'VP'],0
+"In the past , writes Houston Chronicle columnist Jim Barlow , outlanders were accepted only after passing a series of tests to prove they had the `` right '' Texas attitudes and `` of course they had to be dipped for parasites . ''","[array(['In'], dtype=object) array(['the', 'past'], dtype=object)
+ array(['writes'], dtype=object)
+ array(['Houston', 'Chronicle', 'columnist', 'Jim', 'Barlow'], dtype=object)
+ array(['outlanders'], dtype=object)
+ array(['were', 'accepted'], dtype=object)
+ array(['only', 'after'], dtype=object) array(['passing'], dtype=object)
+ array(['a', 'series'], dtype=object) array(['of'], dtype=object)
+ array(['tests'], dtype=object) array(['to', 'prove'], dtype=object)
+ array(['they'], dtype=object) array(['had'], dtype=object)
+ array(['the', '``', 'right', ""''"", 'Texas', 'attitudes'], dtype=object)
+ array(['of'], dtype=object) array(['course'], dtype=object)
+ array(['they'], dtype=object)
+ array(['had', 'to', 'be', 'dipped'], dtype=object)
+ array(['for'], dtype=object) array(['parasites'], dtype=object)]",['only' 'after'],['PP' 'ADVP' 'NP' 'VP'],0
+"Furthermore , it is also likely to encourage those on Capitol Hill asking for cuts in the assistance to El Salvador if President Cristiani does not bend to demands of the Marxist guerrillas .","[array(['Furthermore'], dtype=object) array(['it'], dtype=object)
+ array(['is'], dtype=object) array(['also'], dtype=object)
+ array(['likely'], dtype=object) array(['to', 'encourage'], dtype=object)
+ array(['those'], dtype=object) array(['on'], dtype=object)
+ array(['Capitol', 'Hill'], dtype=object) array(['asking'], dtype=object)
+ array(['for'], dtype=object) array(['cuts'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'assistance'], dtype=object)
+ array(['to'], dtype=object) array(['El', 'Salvador'], dtype=object)
+ array(['if'], dtype=object)
+ array(['President', 'Cristiani'], dtype=object)
+ array(['does', 'not', 'bend'], dtype=object) array(['to'], dtype=object)
+ array(['demands'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Marxist', 'guerrillas'], dtype=object)]",['of'],['PP' 'VP' 'SBAR' 'NP'],0
+He adds that short-term comparisons `` can be very misleading because of differences in timing of marketing programs from year to year . '',"[array(['He'], dtype=object) array(['adds'], dtype=object)
+ array(['that'], dtype=object)
+ array(['short-term', 'comparisons'], dtype=object)
+ array(['can', 'be'], dtype=object)
+ array(['very', 'misleading'], dtype=object)
+ array(['because', 'of'], dtype=object)
+ array(['differences'], dtype=object) array(['in'], dtype=object)
+ array(['timing'], dtype=object) array(['of'], dtype=object)
+ array(['marketing', 'programs'], dtype=object)
+ array(['from'], dtype=object) array(['year'], dtype=object)
+ array(['to'], dtype=object) array(['year'], dtype=object)]",['to'],['PP' 'PRT' 'NP' 'VP'],0
+"Democratic counterpart Mitchell , asked to interpret Darman 's threat to make permanent the across-the-board Gramm-Rudman cuts that took effect this week , says , `` I do n't even bother to interpret them . ''","[array(['Democratic', 'counterpart', 'Mitchell'], dtype=object)
+ array(['asked'], dtype=object) array(['to', 'interpret'], dtype=object)
+ array(['Darman'], dtype=object) array([""'s"", 'threat'], dtype=object)
+ array(['to', 'make'], dtype=object) array(['permanent'], dtype=object)
+ array(['the', 'across-the-board', 'Gramm-Rudman', 'cuts'], dtype=object)
+ array(['that'], dtype=object) array(['took'], dtype=object)
+ array(['effect'], dtype=object) array(['this', 'week'], dtype=object)
+ array(['says'], dtype=object) array(['I'], dtype=object)
+ array(['do', ""n't"", 'even', 'bother', 'to', 'interpret'], dtype=object)
+ array(['them'], dtype=object)]","['do' ""n't"" 'even' 'bother' 'to' 'interpret']",['VP' 'SBAR' 'NP' 'PP'],0
+"Ironically , the long-term effect of the earthquake may be to bolster the Bay area 's economic fortunes and , indeed , the nation 's gross national product .","[array(['Ironically'], dtype=object)
+ array(['the', 'long-term', 'effect'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'earthquake'], dtype=object)
+ array(['may', 'be'], dtype=object) array(['to', 'bolster'], dtype=object)
+ array(['the', 'Bay', 'area'], dtype=object)
+ array([""'s"", 'economic', 'fortunes'], dtype=object)
+ array(['indeed'], dtype=object) array(['the', 'nation'], dtype=object)
+ array([""'s"", 'gross', 'national', 'product'], dtype=object)]",['the' 'Bay' 'area'],['NP' 'ADVP' 'VP' 'PP'],0
+"Utility operations , the only company unit operating in the black in the latest period , had a 26 % drop in profit , to $ 86.3 million , largely as a result of outages at the company 's huge Palo Verde nuclear facility and the cost of purchased replacement power .","[array(['Utility', 'operations'], dtype=object)
+ array(['the', 'only', 'company', 'unit'], dtype=object)
+ array(['operating'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'black'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'latest', 'period'], dtype=object)
+ array(['had'], dtype=object)
+ array(['a', '26', '%', 'drop'], dtype=object) array(['in'], dtype=object)
+ array(['profit'], dtype=object) array(['to'], dtype=object)
+ array(['$', '86.3', 'million'], dtype=object)
+ array(['largely'], dtype=object) array(['as'], dtype=object)
+ array(['a', 'result'], dtype=object) array(['of'], dtype=object)
+ array(['outages'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array([""'s"", 'huge', 'Palo', 'Verde', 'nuclear', 'facility'], dtype=object)
+ array(['the', 'cost'], dtype=object) array(['of'], dtype=object)
+ array(['purchased', 'replacement', 'power'], dtype=object)]",['at'],['PP' 'NP' 'SBAR' 'VP'],0
+"In addition , a group of 24 industrialized countries , including the U.S. and Japan and coordinated by the European Community Commission , has promised Poland and Hungary trade advice and a line of credit equivalent to $ 1.11 billion through the European Investment Bank , while the EC plans $ 222 million in direct aid .","[array(['In'], dtype=object) array(['addition'], dtype=object)
+ array(['a', 'group'], dtype=object) array(['of'], dtype=object)
+ array(['24', 'industrialized', 'countries'], dtype=object)
+ array(['including'], dtype=object) array(['the', 'U.S.'], dtype=object)
+ array(['Japan'], dtype=object) array(['coordinated'], dtype=object)
+ array(['by'], dtype=object)
+ array(['the', 'European', 'Community', 'Commission'], dtype=object)
+ array(['has', 'promised'], dtype=object)
+ array(['Poland', 'and', 'Hungary'], dtype=object)
+ array(['trade', 'advice'], dtype=object)
+ array(['a', 'line'], dtype=object) array(['of'], dtype=object)
+ array(['credit'], dtype=object) array(['equivalent'], dtype=object)
+ array(['to'], dtype=object) array(['$', '1.11', 'billion'], dtype=object)
+ array(['through'], dtype=object)
+ array(['the', 'European', 'Investment', 'Bank'], dtype=object)
+ array(['while'], dtype=object) array(['the', 'EC'], dtype=object)
+ array(['plans'], dtype=object)
+ array(['$', '222', 'million'], dtype=object) array(['in'], dtype=object)
+ array(['direct', 'aid'], dtype=object)]",['the' 'European' 'Investment' 'Bank'],['NP' 'PP' 'VP' 'PRT'],0
+# 200 million of undated variable-rate notes priced at par via Merill Lynch International Ltd .,"[array(['#', '200', 'million'], dtype=object) array(['of'], dtype=object)
+ array(['undated', 'variable-rate', 'notes'], dtype=object)
+ array(['priced'], dtype=object) array(['at'], dtype=object)
+ array(['par'], dtype=object) array(['via'], dtype=object)
+ array(['Merill', 'Lynch', 'International', 'Ltd'], dtype=object)]",['via'],['PP' 'NP' 'VP' 'ADVP'],0
+"British Tissues decided to do away with its hard paper after a major customer , British Rail , switched to softer tissues for train bathrooms ... .","[array(['British', 'Tissues'], dtype=object)
+ array(['decided', 'to', 'do'], dtype=object)
+ array(['away'], dtype=object) array(['with'], dtype=object)
+ array(['its', 'hard', 'paper'], dtype=object)
+ array(['after'], dtype=object)
+ array(['a', 'major', 'customer'], dtype=object)
+ array(['British', 'Rail'], dtype=object)
+ array(['switched'], dtype=object) array(['to'], dtype=object)
+ array(['softer', 'tissues'], dtype=object) array(['for'], dtype=object)
+ array(['train', 'bathrooms'], dtype=object)]",['its' 'hard' 'paper'],['NP' 'VP' 'PP' 'ADVP'],0
+"Final approval was on a 67-31 roll call in the Senate , which sets the stage for a veto confrontation with Mr. Bush over the issue of publicly financed abortions for poor women .","[array(['Final', 'approval'], dtype=object) array(['was'], dtype=object)
+ array(['on'], dtype=object)
+ array(['a', '67-31', 'roll', 'call'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'Senate'], dtype=object)
+ array(['which'], dtype=object) array(['sets'], dtype=object)
+ array(['the', 'stage'], dtype=object) array(['for'], dtype=object)
+ array(['a', 'veto', 'confrontation'], dtype=object)
+ array(['with'], dtype=object) array(['Mr.', 'Bush'], dtype=object)
+ array(['over'], dtype=object) array(['the', 'issue'], dtype=object)
+ array(['of'], dtype=object)
+ array(['publicly', 'financed', 'abortions'], dtype=object)
+ array(['for'], dtype=object) array(['poor', 'women'], dtype=object)]",['of'],['PP' 'VP' 'SBAR' 'NP'],0
+"Moreover , because no one knows for sure just when a recession is coming , some analysts think investors should n't even worry too much about timing .","[array(['Moreover'], dtype=object) array(['because'], dtype=object)
+ array(['no', 'one'], dtype=object) array(['knows'], dtype=object)
+ array(['for'], dtype=object) array(['sure'], dtype=object)
+ array(['just'], dtype=object) array(['when'], dtype=object)
+ array(['a', 'recession'], dtype=object)
+ array(['is', 'coming'], dtype=object)
+ array(['some', 'analysts'], dtype=object) array(['think'], dtype=object)
+ array(['investors'], dtype=object)
+ array(['should', ""n't"", 'even', 'worry'], dtype=object)
+ array(['too', 'much'], dtype=object) array(['about'], dtype=object)
+ array(['timing'], dtype=object)]",['some' 'analysts'],['NP' 'PP' 'VP' 'SBAR'],0
+"James A. Hagen , chairman and chief executive officer , noted that earnings advanced `` in the face of a drop in business , brought on by the general economic slowdown . ''","[array(['James', 'A.', 'Hagen'], dtype=object)
+ array(['chairman'], dtype=object)
+ array(['chief', 'executive', 'officer'], dtype=object)
+ array(['noted'], dtype=object) array(['that'], dtype=object)
+ array(['earnings'], dtype=object) array(['advanced'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'face'], dtype=object)
+ array(['of'], dtype=object) array(['a', 'drop'], dtype=object)
+ array(['in'], dtype=object) array(['business'], dtype=object)
+ array(['brought'], dtype=object) array(['on'], dtype=object)
+ array(['by'], dtype=object)
+ array(['the', 'general', 'economic', 'slowdown'], dtype=object)]",['in'],['PP' 'VP' 'ADVP' 'NP'],0
+"On Tuesday , Trelleborg 's directors announced plans to spin off two big divisions -- minerals processing , and building and distribution -- as separately quoted companies on Stockholm 's Stock Exchange .","[array(['On'], dtype=object) array(['Tuesday'], dtype=object)
+ array(['Trelleborg'], dtype=object)
+ array([""'s"", 'directors'], dtype=object)
+ array(['announced'], dtype=object) array(['plans'], dtype=object)
+ array(['to', 'spin'], dtype=object) array(['off'], dtype=object)
+ array(['two', 'big', 'divisions'], dtype=object)
+ array(['minerals', 'processing'], dtype=object)
+ array(['building', 'and', 'distribution'], dtype=object)
+ array(['as'], dtype=object)
+ array(['separately', 'quoted', 'companies'], dtype=object)
+ array(['on'], dtype=object) array(['Stockholm'], dtype=object)
+ array([""'s"", 'Stock', 'Exchange'], dtype=object)]",['On'],['PP' 'NP' 'VP' 'ADVP'],0
+"But , at least , the law of averages should have swung to the favorable side .","[array(['at'], dtype=object) array(['least'], dtype=object)
+ array(['the', 'law'], dtype=object) array(['of'], dtype=object)
+ array(['averages'], dtype=object)
+ array(['should', 'have', 'swung'], dtype=object)
+ array(['to'], dtype=object)
+ array(['the', 'favorable', 'side'], dtype=object)]",['at'],['PP' 'NP' 'VP' 'SBAR'],0
+He says the handful of salmonella cases involving products that may have used eggs broken by an Egg King stemmed from a failure to adequately cook the products .,"[array(['He'], dtype=object) array(['says'], dtype=object)
+ array(['the', 'handful'], dtype=object) array(['of'], dtype=object)
+ array(['salmonella', 'cases'], dtype=object)
+ array(['involving'], dtype=object) array(['products'], dtype=object)
+ array(['that'], dtype=object)
+ array(['may', 'have', 'used'], dtype=object)
+ array(['eggs'], dtype=object) array(['broken'], dtype=object)
+ array(['by'], dtype=object) array(['an', 'Egg', 'King'], dtype=object)
+ array(['stemmed'], dtype=object) array(['from'], dtype=object)
+ array(['a', 'failure'], dtype=object)
+ array(['to', 'adequately', 'cook'], dtype=object)
+ array(['the', 'products'], dtype=object)]",['may' 'have' 'used'],['VP' 'PP' 'NP' 'ADJP'],0
+A Ministry of International Trade and Industry official said that a study found that Japan 's annual economic growth rate would eventually be only 0.8 % if carbon-dioxide emissions remained at this year 's level of 300 million tons .,"[array(['of'], dtype=object)
+ array(['International', 'Trade', 'and', 'Industry'], dtype=object)
+ array(['official'], dtype=object) array(['said'], dtype=object)
+ array(['that'], dtype=object) array(['a', 'study'], dtype=object)
+ array(['found'], dtype=object) array(['that'], dtype=object)
+ array(['Japan'], dtype=object)
+ array([""'s"", 'annual', 'economic', 'growth', 'rate'], dtype=object)
+ array(['would', 'eventually', 'be'], dtype=object)
+ array(['only', '0.8', '%'], dtype=object) array(['if'], dtype=object)
+ array(['carbon-dioxide', 'emissions'], dtype=object)
+ array(['remained'], dtype=object) array(['at'], dtype=object)
+ array(['this', 'year'], dtype=object)
+ array([""'s"", 'level'], dtype=object) array(['of'], dtype=object)
+ array(['300', 'million', 'tons'], dtype=object)]",['of'],['PP' 'ADVP' 'VP' 'NP'],0
+"Like other major American cities , the San Francisco -- Oakland area owes its current prosperity more to its infrastructure of fiber-optic cables linking thousands of computer terminals and telephones than to its location astride one of the world 's great natural harbors .","[array(['Like'], dtype=object)
+ array(['other', 'major', 'American', 'cities'], dtype=object)
+ array(['the', 'San', 'Francisco', '--', 'Oakland', 'area'], dtype=object)
+ array(['owes'], dtype=object)
+ array(['its', 'current', 'prosperity'], dtype=object)
+ array(['more'], dtype=object) array(['to'], dtype=object)
+ array(['its', 'infrastructure'], dtype=object)
+ array(['of'], dtype=object)
+ array(['fiber-optic', 'cables'], dtype=object)
+ array(['linking'], dtype=object) array(['thousands'], dtype=object)
+ array(['of'], dtype=object)
+ array(['computer', 'terminals'], dtype=object)
+ array(['telephones'], dtype=object) array(['than'], dtype=object)
+ array(['to'], dtype=object) array(['its', 'location'], dtype=object)
+ array(['astride'], dtype=object) array(['one'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'world'], dtype=object)
+ array([""'s"", 'great', 'natural', 'harbors'], dtype=object)]",['telephones'],['NP' 'VP' 'ADVP' 'PP'],0
+The government 's 7 % issue due October 1999 fell 0.05 point to 99.90 to yield 7.01 % .,"[array(['The', 'government'], dtype=object) array([""'s""], dtype=object)
+ array(['7', '%'], dtype=object) array(['issue'], dtype=object)
+ array(['due'], dtype=object) array(['October', '1999'], dtype=object)
+ array(['fell'], dtype=object) array(['0.05', 'point'], dtype=object)
+ array(['to'], dtype=object) array(['99.90'], dtype=object)
+ array(['to', 'yield'], dtype=object) array(['7.01', '%'], dtype=object)]",['October' '1999'],['NP' 'ADVP' 'PP' 'VP'],0
+"The paper producer reported that net income fell to $ 102.1 million , or $ 1.09 a share , from $ 122.4 million , or $ 1.29 a share , in the year-earlier period .","[array(['The', 'paper', 'producer'], dtype=object)
+ array(['reported'], dtype=object)
+ array(['that', 'net', 'income'], dtype=object)
+ array(['fell'], dtype=object) array(['to'], dtype=object)
+ array(['$', '102.1', 'million'], dtype=object)
+ array(['$', '1.09'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '122.4', 'million'], dtype=object)
+ array(['$', '1.29'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'year-earlier', 'period'], dtype=object)]",['from'],['PP' 'VP' 'NP' 'SBAR'],0
+"Moreover , state officials are urging freight haulers to bypass many of the area 's main highways and to travel late at night or during predawn hours .","[array(['Moreover'], dtype=object)
+ array(['state', 'officials'], dtype=object)
+ array(['are', 'urging'], dtype=object)
+ array(['freight', 'haulers'], dtype=object)
+ array(['to', 'bypass'], dtype=object) array(['many'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'area'], dtype=object)
+ array([""'s"", 'main', 'highways'], dtype=object)
+ array(['to', 'travel'], dtype=object) array(['late'], dtype=object)
+ array(['at'], dtype=object) array(['night'], dtype=object)
+ array(['during'], dtype=object) array(['predawn', 'hours'], dtype=object)]",['to' 'travel'],['VP' 'ADVP' 'PP' 'NP'],0
+He was turning himself in .,"[array(['He'], dtype=object) array(['was', 'turning'], dtype=object)
+ array(['himself'], dtype=object) array(['in'], dtype=object)]",['himself'],['NP' 'PP' 'VP' 'ADJP'],0
+"The guideline was n't a law , but a joint interpretation of how the U.S. might operate during foreign coups in light of the longstanding presidential order banning a U.S. role in assassinations .","[array(['The', 'guideline'], dtype=object) array(['was'], dtype=object)
+ array(['a', 'law'], dtype=object)
+ array(['a', 'joint', 'interpretation'], dtype=object)
+ array(['of'], dtype=object) array(['how'], dtype=object)
+ array(['the', 'U.S.'], dtype=object)
+ array(['might', 'operate'], dtype=object) array(['during'], dtype=object)
+ array(['foreign', 'coups'], dtype=object) array(['in'], dtype=object)
+ array(['light'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'longstanding', 'presidential', 'order'], dtype=object)
+ array(['banning'], dtype=object)
+ array(['a', 'U.S.', 'role'], dtype=object) array(['in'], dtype=object)
+ array(['assassinations'], dtype=object)]",['during'],['PP' 'VP' 'ADVP' 'NP'],0
+"David Batchelder , a mergers adviser in La Jolla , Calif. , who aided Los Angeles investor Marvin Davis on the bids which put both UAL and NWA in play as takeover candidates this year , says that banks have been `` preparing to play a larger and larger role in acquisition financing . ''","[array(['David', 'Batchelder'], dtype=object)
+ array(['a', 'mergers', 'adviser'], dtype=object)
+ array(['in'], dtype=object) array(['La', 'Jolla'], dtype=object)
+ array(['Calif.'], dtype=object) array(['who'], dtype=object)
+ array(['aided'], dtype=object)
+ array(['Los', 'Angeles', 'investor', 'Marvin', 'Davis'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'bids'], dtype=object)
+ array(['which'], dtype=object) array(['put'], dtype=object)
+ array(['both', 'UAL', 'and', 'NWA'], dtype=object)
+ array(['in'], dtype=object) array(['play'], dtype=object)
+ array(['as'], dtype=object)
+ array(['takeover', 'candidates'], dtype=object)
+ array(['this', 'year'], dtype=object) array(['says'], dtype=object)
+ array(['that'], dtype=object) array(['banks'], dtype=object)
+ array(['have', 'been'], dtype=object)
+ array(['preparing', 'to', 'play'], dtype=object)
+ array(['a', 'larger', 'and', 'larger', 'role'], dtype=object)
+ array(['in'], dtype=object)
+ array(['acquisition', 'financing'], dtype=object)]",['says'],['VP' 'NP' 'PP' 'SBAR'],0
+"Paramount Domestic TV and MCA TV formed a joint venture last month , named Premier Advertiser Sales , to sell advertising in programs syndicated by both companies , such as `` Star Trek : the Next Generation , '' `` Charles in Charge '' and `` Friday the 13th : the Series . ''","[array(['Paramount', 'Domestic', 'TV'], dtype=object)
+ array(['MCA', 'TV'], dtype=object) array(['formed'], dtype=object)
+ array(['a', 'joint', 'venture'], dtype=object)
+ array(['last', 'month'], dtype=object) array(['named'], dtype=object)
+ array(['Premier', 'Advertiser', 'Sales'], dtype=object)
+ array(['to', 'sell'], dtype=object) array(['advertising'], dtype=object)
+ array(['in'], dtype=object) array(['programs'], dtype=object)
+ array(['syndicated'], dtype=object) array(['by'], dtype=object)
+ array(['both', 'companies'], dtype=object)
+ array(['such', 'as'], dtype=object) array(['Star', 'Trek'], dtype=object)
+ array(['the', 'Next', 'Generation'], dtype=object)
+ array(['Charles'], dtype=object) array(['in'], dtype=object)
+ array(['Charge'], dtype=object) array(['Friday'], dtype=object)
+ array(['the', '13th'], dtype=object)
+ array(['the', 'Series'], dtype=object)]",['the' 'Next' 'Generation'],['NP' 'ADVP' 'VP' 'PP'],0
+Much of the money from the sales is earmarked for a multibillion-dollar agrarian-reform program .,"[array(['Much'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'money'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'sales'], dtype=object)
+ array(['is', 'earmarked'], dtype=object) array(['for'], dtype=object)
+ array(['a', 'multibillion-dollar', 'agrarian-reform', 'program'],
+       dtype=object)                                              ]",['a' 'multibillion-dollar' 'agrarian-reform' 'program'],['NP' 'VP' 'PP' 'ADJP'],0
+"Just a short span across the bay to the west , the quake also showed its mettle : A four-square-block area of the Marina District lies smoldering under a steady stream of seawater being pumped onto rubble to prevent it from blazing anew .","[array(['Just', 'a', 'short', 'span'], dtype=object)
+ array(['across'], dtype=object) array(['the', 'bay'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'west'], dtype=object)
+ array(['the', 'quake'], dtype=object) array(['also'], dtype=object)
+ array(['showed'], dtype=object) array(['its', 'mettle'], dtype=object)
+ array(['A', 'four-square-block', 'area'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'Marina', 'District'], dtype=object)
+ array(['lies'], dtype=object) array(['smoldering'], dtype=object)
+ array(['under'], dtype=object)
+ array(['a', 'steady', 'stream'], dtype=object)
+ array(['of'], dtype=object) array(['seawater'], dtype=object)
+ array(['being', 'pumped'], dtype=object) array(['onto'], dtype=object)
+ array(['rubble'], dtype=object) array(['to', 'prevent'], dtype=object)
+ array(['it'], dtype=object) array(['from'], dtype=object)
+ array(['blazing'], dtype=object) array(['anew'], dtype=object)]",['the' 'bay'],['NP' 'PP' 'ADVP' 'VP'],0
+"`` There 's no more growth in the tax business -LCB- except -RCB- for increasing prices , '' the money manager added .","[array(['There'], dtype=object) array([""'s""], dtype=object)
+ array(['no', 'more', 'growth'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'tax', 'business'], dtype=object)
+ array(['for'], dtype=object)
+ array(['increasing', 'prices'], dtype=object)
+ array(['the', 'money', 'manager'], dtype=object)
+ array(['added'], dtype=object)]","[""'s""]",['VP' 'PP' 'ADVP' 'NP'],0
+Legislation to require the consent of parents before their daughters under the age of 18 can have abortions will probably pass both houses of the Michigan legislature and set up a grinding battle to override the expected veto of Democratic Gov. James Blanchard .,"[array(['Legislation'], dtype=object)
+ array(['to', 'require'], dtype=object)
+ array(['the', 'consent'], dtype=object) array(['of'], dtype=object)
+ array(['parents'], dtype=object) array(['before'], dtype=object)
+ array(['their', 'daughters'], dtype=object)
+ array(['under'], dtype=object) array(['the', 'age'], dtype=object)
+ array(['of'], dtype=object) array(['18'], dtype=object)
+ array(['can', 'have'], dtype=object) array(['abortions'], dtype=object)
+ array(['will', 'probably', 'pass'], dtype=object)
+ array(['both', 'houses'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Michigan', 'legislature'], dtype=object)
+ array(['set'], dtype=object) array(['up'], dtype=object)
+ array(['a', 'grinding', 'battle'], dtype=object)
+ array(['to', 'override'], dtype=object)
+ array(['the', 'expected', 'veto'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Democratic', 'Gov.', 'James', 'Blanchard'], dtype=object)]",['of'],['PP' 'VP' 'SBAR' 'NP'],0
+They currently have large orders for cargo planes .,"[array(['They'], dtype=object) array(['currently'], dtype=object)
+ array(['have'], dtype=object) array(['large', 'orders'], dtype=object)
+ array(['for'], dtype=object) array(['cargo', 'planes'], dtype=object)]",['have'],['VP' 'NP' 'ADVP' 'SBAR'],0
+"The number of big institutions that own H&R Block shares is 207 and growing , according to a midyear tally by CDA Investment Technologies .","[array(['The', 'number'], dtype=object) array(['of'], dtype=object)
+ array(['big', 'institutions'], dtype=object)
+ array(['that'], dtype=object) array(['own'], dtype=object)
+ array(['H&R', 'Block', 'shares'], dtype=object)
+ array(['is'], dtype=object) array(['207'], dtype=object)
+ array(['growing'], dtype=object) array(['according'], dtype=object)
+ array(['to'], dtype=object)
+ array(['a', 'midyear', 'tally'], dtype=object)
+ array(['by'], dtype=object)
+ array(['CDA', 'Investment', 'Technologies'], dtype=object)]",['big' 'institutions'],['NP' 'VP' 'PP' 'ADVP'],0
+The Treasury plans to raise $ 700 million in new cash with the sale Tuesday of about $ 10 billion in two-year notes to redeem $ 9.29 billion in maturing notes .,"[array(['The', 'Treasury'], dtype=object)
+ array(['plans', 'to', 'raise'], dtype=object)
+ array(['$', '700', 'million'], dtype=object) array(['in'], dtype=object)
+ array(['new', 'cash'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'sale'], dtype=object) array(['Tuesday'], dtype=object)
+ array(['of'], dtype=object)
+ array(['about', '$', '10', 'billion'], dtype=object)
+ array(['in'], dtype=object) array(['two-year', 'notes'], dtype=object)
+ array(['to', 'redeem'], dtype=object)
+ array(['$', '9.29', 'billion'], dtype=object) array(['in'], dtype=object)
+ array(['maturing', 'notes'], dtype=object)]",['two-year' 'notes'],['NP' 'ADVP' 'PP' 'VP'],0
+"And , in a sense , that 's the kind of task individuals face in deciding what to do about stocks -- the mainstay of most serious investors ' portfolios .","[array(['in'], dtype=object) array(['a', 'sense'], dtype=object)
+ array(['that'], dtype=object) array([""'s""], dtype=object)
+ array(['the', 'kind'], dtype=object) array(['of'], dtype=object)
+ array(['task'], dtype=object) array(['individuals'], dtype=object)
+ array(['face'], dtype=object) array(['in'], dtype=object)
+ array(['deciding'], dtype=object) array(['what'], dtype=object)
+ array(['to', 'do'], dtype=object) array(['about'], dtype=object)
+ array(['stocks'], dtype=object) array(['the', 'mainstay'], dtype=object)
+ array(['of'], dtype=object)
+ array(['most', 'serious', 'investors'], dtype=object)
+ array([""'"", 'portfolios'], dtype=object)]",['individuals'],['NP' 'ADVP' 'PP' 'PRT'],0
+"With investors relieved at the overnight gain in New York stocks , small-lot buying orders streamed into the market from early morning , making traders believe the market was back to normal .","[array(['With'], dtype=object) array(['investors'], dtype=object)
+ array(['relieved'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'overnight', 'gain'], dtype=object)
+ array(['in'], dtype=object)
+ array(['New', 'York', 'stocks'], dtype=object)
+ array(['small-lot', 'buying', 'orders'], dtype=object)
+ array(['streamed'], dtype=object) array(['into'], dtype=object)
+ array(['the', 'market'], dtype=object) array(['from'], dtype=object)
+ array(['early', 'morning'], dtype=object) array(['making'], dtype=object)
+ array(['traders'], dtype=object) array(['believe'], dtype=object)
+ array(['the', 'market'], dtype=object) array(['was'], dtype=object)
+ array(['back'], dtype=object) array(['to'], dtype=object)
+ array(['normal'], dtype=object)]",['into'],['PP' 'VP' 'NP' 'ADJP'],0
+"Galileo 's photos of Europa will be more than 1,000 times as sharp as Voyager 's , according to Torrence Johnson , Galileo 's project scientist , and may show whether it actually has the only known ocean other than those on Earth .","[array(['Galileo'], dtype=object) array([""'s"", 'photos'], dtype=object)
+ array(['of'], dtype=object) array(['Europa'], dtype=object)
+ array(['will', 'be'], dtype=object)
+ array(['more', 'than', '1,000', 'times', 'as', 'sharp'], dtype=object)
+ array(['as'], dtype=object) array(['Voyager'], dtype=object)
+ array([""'s""], dtype=object) array(['according'], dtype=object)
+ array(['to'], dtype=object) array(['Torrence', 'Johnson'], dtype=object)
+ array(['Galileo'], dtype=object)
+ array([""'s"", 'project', 'scientist'], dtype=object)
+ array(['may', 'show'], dtype=object) array(['whether'], dtype=object)
+ array(['it'], dtype=object) array(['actually'], dtype=object)
+ array(['has'], dtype=object)
+ array(['the', 'only', 'known', 'ocean'], dtype=object)
+ array(['other', 'than'], dtype=object) array(['those'], dtype=object)
+ array(['on'], dtype=object) array(['Earth'], dtype=object)]",['Galileo'],['NP' 'PP' 'PRT' 'SBAR'],0
+"Republican Sen. William Cohen of Maine , the panel 's vice chairman , said of the disclosure that `` a text torn out of context is a pretext , and it is unfair for those in the White House who are leaking to present the evidence in a selective fashion . ''","[array(['Republican', 'Sen.', 'William', 'Cohen'], dtype=object)
+ array(['of'], dtype=object) array(['Maine'], dtype=object)
+ array(['the', 'panel'], dtype=object)
+ array([""'s"", 'vice', 'chairman'], dtype=object)
+ array(['said'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'disclosure'], dtype=object) array(['that'], dtype=object)
+ array(['a', 'text'], dtype=object) array(['torn'], dtype=object)
+ array(['out'], dtype=object) array(['of'], dtype=object)
+ array(['context'], dtype=object) array(['is'], dtype=object)
+ array(['a', 'pretext'], dtype=object) array(['it'], dtype=object)
+ array(['is'], dtype=object) array(['unfair'], dtype=object)
+ array(['for'], dtype=object) array(['those'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'White', 'House'], dtype=object)
+ array(['who'], dtype=object) array(['are', 'leaking'], dtype=object)
+ array(['to', 'present'], dtype=object)
+ array(['the', 'evidence'], dtype=object) array(['in'], dtype=object)
+ array(['a', 'selective', 'fashion'], dtype=object)]",['the' 'evidence'],['NP' 'SBAR' 'VP' 'PP'],0
+"`` You can have a dozen competitors stealing your secrets at the same time , '' Mr. Matchett said , adding : `` It 's a pretty good bet they wo n't get caught . ''","[array(['You'], dtype=object) array(['can', 'have'], dtype=object)
+ array(['a', 'dozen', 'competitors'], dtype=object)
+ array(['stealing'], dtype=object)
+ array(['your', 'secrets'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'same', 'time'], dtype=object)
+ array(['Mr.', 'Matchett'], dtype=object) array(['said'], dtype=object)
+ array(['adding'], dtype=object) array(['It'], dtype=object)
+ array([""'s""], dtype=object)
+ array(['a', 'pretty', 'good', 'bet'], dtype=object)
+ array(['they'], dtype=object)
+ array(['wo', ""n't"", 'get', 'caught'], dtype=object)]","['wo' ""n't"" 'get' 'caught']",['VP' 'ADVP' 'NP' 'SBAR'],0
+"`` I 've told my staff and clients that they still have the ability to exercise their options , because they are guaranteed by the Options Clearing Corp. , '' said Michael Schwartz , a senior registered options strategist at Oppenheimer & Co .","[array(['I'], dtype=object) array([""'ve"", 'told'], dtype=object)
+ array(['my', 'staff', 'and', 'clients'], dtype=object)
+ array(['that'], dtype=object) array(['they'], dtype=object)
+ array(['still'], dtype=object) array(['have'], dtype=object)
+ array(['the', 'ability'], dtype=object)
+ array(['to', 'exercise'], dtype=object)
+ array(['their', 'options'], dtype=object)
+ array(['because'], dtype=object) array(['they'], dtype=object)
+ array(['are', 'guaranteed'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'Options', 'Clearing', 'Corp.'], dtype=object)
+ array(['said'], dtype=object)
+ array(['Michael', 'Schwartz'], dtype=object)
+ array(['a', 'senior', 'registered', 'options', 'strategist'], dtype=object)
+ array(['at'], dtype=object)
+ array(['Oppenheimer', '&', 'Co'], dtype=object)]",['they'],['NP' 'PP' 'ADVP' 'VP'],0
+Independent directors would have veto rights to any acquisition if they unanimously decide it is n't in LIN 's best interest .,"[array(['Independent', 'directors'], dtype=object)
+ array(['would', 'have'], dtype=object)
+ array(['veto', 'rights'], dtype=object) array(['to'], dtype=object)
+ array(['any', 'acquisition'], dtype=object) array(['if'], dtype=object)
+ array(['they'], dtype=object)
+ array(['unanimously', 'decide'], dtype=object)
+ array(['it'], dtype=object) array(['is'], dtype=object)
+ array(['in'], dtype=object) array(['LIN'], dtype=object)
+ array([""'s"", 'best', 'interest'], dtype=object)]",['it'],['NP' 'PP' 'VP' 'ADVP'],0
+"The announcement , made after the close of trading , caught analysts by surprise .","[array(['The', 'announcement'], dtype=object)
+ array(['made'], dtype=object) array(['after'], dtype=object)
+ array(['the', 'close'], dtype=object) array(['of'], dtype=object)
+ array(['trading'], dtype=object) array(['caught'], dtype=object)
+ array(['analysts'], dtype=object) array(['by'], dtype=object)
+ array(['surprise'], dtype=object)]",['trading'],['NP' 'PP' 'ADJP' 'VP'],0
+"Although Olivetti 's profits tumbled 40 % in the first half of this year , she believes Olivetti 's restructuring last fall and its introduction of new products will begin to bear fruit with an earnings rebound next year , especially if it can fulfill its promise to deliver the new machines by December .","[array(['Although'], dtype=object) array(['Olivetti'], dtype=object)
+ array([""'s"", 'profits'], dtype=object) array(['tumbled'], dtype=object)
+ array(['40', '%'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'first', 'half'], dtype=object) array(['of'], dtype=object)
+ array(['this', 'year'], dtype=object) array(['she'], dtype=object)
+ array(['believes'], dtype=object) array(['Olivetti'], dtype=object)
+ array([""'s"", 'restructuring'], dtype=object)
+ array(['last', 'fall'], dtype=object)
+ array(['its', 'introduction'], dtype=object) array(['of'], dtype=object)
+ array(['new', 'products'], dtype=object)
+ array(['will', 'begin', 'to', 'bear'], dtype=object)
+ array(['fruit'], dtype=object) array(['with'], dtype=object)
+ array(['an', 'earnings', 'rebound'], dtype=object)
+ array(['next', 'year'], dtype=object) array(['especially'], dtype=object)
+ array(['if'], dtype=object) array(['it'], dtype=object)
+ array(['can', 'fulfill'], dtype=object)
+ array(['its', 'promise'], dtype=object)
+ array(['to', 'deliver'], dtype=object)
+ array(['the', 'new', 'machines'], dtype=object)
+ array(['by'], dtype=object) array(['December'], dtype=object)]",['the' 'new' 'machines'],['NP' 'PP' 'VP' 'ADJP'],0
+"Edward J. Tirello Jr. , an analyst at Shearson Lehman Hutton Inc. , speculated that the sudden dividend elimination presages an expensive agreement with thrift regulators over the company 's insolvent MeraBank savings and loan unit .","[array(['Edward', 'J.', 'Tirello', 'Jr.'], dtype=object)
+ array(['an', 'analyst'], dtype=object) array(['at'], dtype=object)
+ array(['Shearson', 'Lehman', 'Hutton', 'Inc.'], dtype=object)
+ array(['speculated'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'sudden', 'dividend', 'elimination'], dtype=object)
+ array(['presages'], dtype=object)
+ array(['an', 'expensive', 'agreement'], dtype=object)
+ array(['with'], dtype=object)
+ array(['thrift', 'regulators'], dtype=object)
+ array(['over'], dtype=object) array(['the', 'company'], dtype=object)
+ array([""'s"", 'insolvent', 'MeraBank', 'savings', 'and', 'loan', 'unit'],
+       dtype=object)                                                     ]",['Edward' 'J.' 'Tirello' 'Jr.'],['NP' 'PP' 'VP' 'ADVP'],0
+Fireman 's Fund had claims adjusters on the streets of San Francisco right after sunrise yesterday and was paying as many claims as it could right on the spot .,"[array(['Fireman'], dtype=object) array([""'s"", 'Fund'], dtype=object)
+ array(['had'], dtype=object) array(['claims', 'adjusters'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'streets'], dtype=object)
+ array(['of'], dtype=object) array(['San', 'Francisco'], dtype=object)
+ array(['right'], dtype=object) array(['after'], dtype=object)
+ array(['sunrise'], dtype=object) array(['yesterday'], dtype=object)
+ array(['was', 'paying'], dtype=object)
+ array(['as', 'many', 'claims'], dtype=object) array(['as'], dtype=object)
+ array(['it'], dtype=object) array(['could'], dtype=object)
+ array(['right'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'spot'], dtype=object)]",['right'],['ADVP' 'NP' 'VP' 'PP'],0
+Dreyfus moved to the $ 1 price after the SEC set standards -- an average 120-day maturity of high-grade paper -- that are still the rule .,"[array(['Dreyfus'], dtype=object) array(['moved'], dtype=object)
+ array(['to'], dtype=object)
+ array(['the', '$', '1', 'price'], dtype=object)
+ array(['after'], dtype=object) array(['the', 'SEC'], dtype=object)
+ array(['set'], dtype=object) array(['standards'], dtype=object)
+ array(['an', 'average', '120-day', 'maturity'], dtype=object)
+ array(['of'], dtype=object) array(['high-grade', 'paper'], dtype=object)
+ array(['that'], dtype=object) array(['are'], dtype=object)
+ array(['still'], dtype=object) array(['the', 'rule'], dtype=object)]",['an' 'average' '120-day' 'maturity'],['NP' 'ADJP' 'PP' 'VP'],0
+Other tax breaks also are likely to be restored or created in the coming months as special interest groups try to undo the 1986 tax overhaul .,"[array(['Other', 'tax', 'breaks'], dtype=object)
+ array(['also'], dtype=object) array(['are'], dtype=object)
+ array(['likely'], dtype=object)
+ array(['to', 'be', 'restored', 'or', 'created'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'coming', 'months'], dtype=object)
+ array(['as'], dtype=object)
+ array(['special', 'interest', 'groups'], dtype=object)
+ array(['try', 'to', 'undo'], dtype=object)
+ array(['the', '1986', 'tax', 'overhaul'], dtype=object)]",['the' 'coming' 'months'],['NP' 'VP' 'PP' 'SBAR'],0
+The only frenzy I saw was commercial : Booths selling World Series commemorative stamps and dated postmarks were besieged by fledgling speculators who saw future profit in the items .,"[array(['The', 'only', 'frenzy'], dtype=object) array(['I'], dtype=object)
+ array(['saw'], dtype=object) array(['was'], dtype=object)
+ array(['commercial'], dtype=object) array(['Booths'], dtype=object)
+ array(['selling'], dtype=object)
+ array(['World', 'Series', 'commemorative', 'stamps', 'and', 'dated',
+        'postmarks'], dtype=object)
+ array(['were', 'besieged'], dtype=object) array(['by'], dtype=object)
+ array(['fledgling', 'speculators'], dtype=object)
+ array(['who'], dtype=object) array(['saw'], dtype=object)
+ array(['future', 'profit'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'items'], dtype=object)]",['the' 'items'],['NP' 'PP' 'SBAR' 'VP'],0
+"Industry groups and reputable planners who are members of them want comprehensive standards , too ; they 're tired of seeing practitioners depicted collectively in the business press as dumber than chimpanzees and greedier than a herd of swine .","[array(['Industry', 'groups'], dtype=object)
+ array(['reputable', 'planners'], dtype=object)
+ array(['who'], dtype=object) array(['are'], dtype=object)
+ array(['members'], dtype=object) array(['of'], dtype=object)
+ array(['them'], dtype=object) array(['want'], dtype=object)
+ array(['comprehensive', 'standards'], dtype=object)
+ array(['too'], dtype=object) array(['they'], dtype=object)
+ array([""'re""], dtype=object) array(['tired'], dtype=object)
+ array(['of'], dtype=object) array(['seeing'], dtype=object)
+ array(['practitioners'], dtype=object) array(['depicted'], dtype=object)
+ array(['collectively'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'business', 'press'], dtype=object)
+ array(['as'], dtype=object) array(['dumber'], dtype=object)
+ array(['than'], dtype=object) array(['chimpanzees'], dtype=object)
+ array(['greedier'], dtype=object) array(['than'], dtype=object)
+ array(['a', 'herd'], dtype=object) array(['of'], dtype=object)
+ array(['swine'], dtype=object)]",['Industry' 'groups'],['NP' 'VP' 'PP' 'ADVP'],0
+"That heavily politicized event learned nothing from the horrifying experience , and seems doomed to repeat it .","[array(['That', 'heavily', 'politicized', 'event'], dtype=object)
+ array(['learned'], dtype=object) array(['nothing'], dtype=object)
+ array(['from'], dtype=object)
+ array(['the', 'horrifying', 'experience'], dtype=object)
+ array(['seems'], dtype=object) array(['doomed'], dtype=object)
+ array(['to', 'repeat'], dtype=object) array(['it'], dtype=object)]",['from'],['PP' 'NP' 'ADVP' 'VP'],0
+Gargantuan sections of a double-decker freeway have been heaved about like plastic building blocks .,"[array(['Gargantuan', 'sections'], dtype=object)
+ array(['of'], dtype=object)
+ array(['a', 'double-decker', 'freeway'], dtype=object)
+ array(['have', 'been', 'heaved'], dtype=object)
+ array(['about'], dtype=object) array(['like'], dtype=object)
+ array(['plastic', 'building', 'blocks'], dtype=object)]",['of'],['PP' 'NP' 'VP' 'ADVP'],0
+"`` The market is sending nervous signals , '' says Peter J. Canelo , chief market strategist for Bear , Stearns & Co. , and it 's `` unwise '' to be overcommitted to stocks .","[array(['The', 'market'], dtype=object)
+ array(['is', 'sending'], dtype=object)
+ array(['nervous', 'signals'], dtype=object) array(['says'], dtype=object)
+ array(['Peter', 'J.', 'Canelo'], dtype=object)
+ array(['chief', 'market', 'strategist'], dtype=object)
+ array(['for'], dtype=object)
+ array(['Bear', ',', 'Stearns', '&', 'Co.'], dtype=object)
+ array(['it'], dtype=object) array([""'s""], dtype=object)
+ array(['unwise'], dtype=object)
+ array(['to', 'be', 'overcommitted'], dtype=object)
+ array(['to'], dtype=object) array(['stocks'], dtype=object)]",['stocks'],['NP' 'ADVP' 'PP' 'VP'],0
+"Unless the government suddenly reverses course , wages for most workers wo n't keep pace with inflation , creating a potential source of urban unrest .","[array(['Unless'], dtype=object)
+ array(['the', 'government'], dtype=object)
+ array(['suddenly'], dtype=object) array(['reverses'], dtype=object)
+ array(['course'], dtype=object) array(['wages'], dtype=object)
+ array(['for'], dtype=object) array(['most', 'workers'], dtype=object)
+ array(['wo', ""n't"", 'keep'], dtype=object) array(['pace'], dtype=object)
+ array(['with'], dtype=object) array(['inflation'], dtype=object)
+ array(['creating'], dtype=object)
+ array(['a', 'potential', 'source'], dtype=object)
+ array(['of'], dtype=object) array(['urban', 'unrest'], dtype=object)]",['suddenly'],['ADVP' 'VP' 'NP' 'PP'],0
+"The latest period included a $ 9 million write-down on undeveloped land , while the year-earlier period included a $ 46 million reserve for real-estate losses .","[array(['The', 'latest', 'period'], dtype=object)
+ array(['included'], dtype=object)
+ array(['a', '$', '9', 'million', 'write-down'], dtype=object)
+ array(['on'], dtype=object) array(['undeveloped', 'land'], dtype=object)
+ array(['while'], dtype=object)
+ array(['the', 'year-earlier', 'period'], dtype=object)
+ array(['included'], dtype=object)
+ array(['a', '$', '46', 'million', 'reserve'], dtype=object)
+ array(['for'], dtype=object)
+ array(['real-estate', 'losses'], dtype=object)]",['while'],['SBAR' 'ADVP' 'NP' 'VP'],0
+"A small but growing number of companies are also trying to instill more fervent brand loyalty through such personalized direct-marketing ploys as catalogs , magazines and membership clubs for brand users .","[array(['A', 'small', 'but', 'growing', 'number'], dtype=object)
+ array(['of'], dtype=object) array(['companies'], dtype=object)
+ array(['are', 'also', 'trying', 'to', 'instill'], dtype=object)
+ array(['more', 'fervent', 'brand', 'loyalty'], dtype=object)
+ array(['through'], dtype=object)
+ array(['such', 'personalized', 'direct-marketing', 'ploys'], dtype=object)
+ array(['as'], dtype=object) array(['catalogs'], dtype=object)
+ array(['magazines'], dtype=object)
+ array(['membership', 'clubs'], dtype=object) array(['for'], dtype=object)
+ array(['brand', 'users'], dtype=object)]",['membership' 'clubs'],['NP' 'VP' 'PP' 'ADVP'],0
+"AT&T said the expense increase will be largely offset by a gain from its previously announced plan to swap its holdings in Ing . C. Olivetti & Co. for shares in Cie . Industriali Riunite , an Italian holding company .","[array(['AT&T'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'expense', 'increase'], dtype=object)
+ array(['will', 'be', 'largely', 'offset'], dtype=object)
+ array(['by'], dtype=object) array(['a', 'gain'], dtype=object)
+ array(['from'], dtype=object)
+ array(['its', 'previously', 'announced', 'plan'], dtype=object)
+ array(['to', 'swap'], dtype=object)
+ array(['its', 'holdings'], dtype=object) array(['in'], dtype=object)
+ array(['Ing', '.', 'C.', 'Olivetti', '&', 'Co.'], dtype=object)
+ array(['for'], dtype=object) array(['shares'], dtype=object)
+ array(['in'], dtype=object)
+ array(['Cie', '.', 'Industriali', 'Riunite'], dtype=object)
+ array(['an', 'Italian', 'holding', 'company'], dtype=object)]",['the' 'expense' 'increase'],['NP' 'ADVP' 'VP' 'PP'],0
+"Tartan currently produces gold at a cash operating cost of $ 393 an ounce , which is high by industry standards and $ 25 or so above the current spot price .","[array(['Tartan'], dtype=object) array(['currently'], dtype=object)
+ array(['produces'], dtype=object) array(['gold'], dtype=object)
+ array(['at'], dtype=object)
+ array(['a', 'cash', 'operating', 'cost'], dtype=object)
+ array(['of'], dtype=object) array(['$', '393'], dtype=object)
+ array(['an', 'ounce'], dtype=object) array(['which'], dtype=object)
+ array(['is'], dtype=object) array(['high'], dtype=object)
+ array(['by'], dtype=object)
+ array(['industry', 'standards'], dtype=object)
+ array(['$', '25', 'or', 'so'], dtype=object)
+ array(['above'], dtype=object)
+ array(['the', 'current', 'spot', 'price'], dtype=object)]",['the' 'current' 'spot' 'price'],['NP' 'PP' 'ADVP' 'VP'],0
+"Management and unions representing 2,400 employees at Torstar Corp. 's Toronto Star reached a tentative contract agreement Friday , averting a strike by most employees of Canada 's largest daily newspaper .","[array(['Management', 'and', 'unions'], dtype=object)
+ array(['representing'], dtype=object)
+ array(['2,400', 'employees'], dtype=object) array(['at'], dtype=object)
+ array(['Torstar', 'Corp.'], dtype=object)
+ array([""'s"", 'Toronto', 'Star'], dtype=object)
+ array(['reached'], dtype=object)
+ array(['a', 'tentative', 'contract', 'agreement'], dtype=object)
+ array(['Friday'], dtype=object) array(['averting'], dtype=object)
+ array(['a', 'strike'], dtype=object) array(['by'], dtype=object)
+ array(['most', 'employees'], dtype=object) array(['of'], dtype=object)
+ array(['Canada'], dtype=object)
+ array([""'s"", 'largest', 'daily', 'newspaper'], dtype=object)]",['by'],['PP' 'NP' 'VP' 'SBAR'],0
+"The announcement came as Societe Commerciale , a trading company with activities in more than 40 countries , reported a loss of 320.5 million francs -LRB- $ 51 million -RRB- for the first six months of this year , partly because of provisions on future losses .","[array(['The', 'announcement'], dtype=object)
+ array(['came'], dtype=object) array(['as'], dtype=object)
+ array(['Societe', 'Commerciale'], dtype=object)
+ array(['a', 'trading', 'company'], dtype=object)
+ array(['with'], dtype=object) array(['activities'], dtype=object)
+ array(['in'], dtype=object)
+ array(['more', 'than', '40', 'countries'], dtype=object)
+ array(['reported'], dtype=object) array(['a', 'loss'], dtype=object)
+ array(['of'], dtype=object)
+ array(['320.5', 'million', 'francs'], dtype=object)
+ array(['$', '51', 'million'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'first', 'six', 'months'], dtype=object)
+ array(['of'], dtype=object) array(['this', 'year'], dtype=object)
+ array(['partly', 'because', 'of'], dtype=object)
+ array(['provisions'], dtype=object) array(['on'], dtype=object)
+ array(['future', 'losses'], dtype=object)]",['partly' 'because' 'of'],['PP' 'ADVP' 'NP' 'VP'],0
+They could also check through the orders on file to find a customer that was willing to accept a lower grade of polyethylene .,"[array(['They'], dtype=object)
+ array(['could', 'also', 'check'], dtype=object)
+ array(['through'], dtype=object) array(['the', 'orders'], dtype=object)
+ array(['on'], dtype=object) array(['file'], dtype=object)
+ array(['to', 'find'], dtype=object)
+ array(['a', 'customer'], dtype=object) array(['that'], dtype=object)
+ array(['was'], dtype=object) array(['willing'], dtype=object)
+ array(['to', 'accept'], dtype=object)
+ array(['a', 'lower', 'grade'], dtype=object) array(['of'], dtype=object)
+ array(['polyethylene'], dtype=object)]",['of'],['PP' 'NP' 'VP' 'SBAR'],0
+"Pension reserves , on the other hand , made up a relatively small part of household assets until the last decade , when they skyrocketed .","[array(['Pension', 'reserves'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'other', 'hand'], dtype=object)
+ array(['made'], dtype=object) array(['up'], dtype=object)
+ array(['a', 'relatively', 'small', 'part'], dtype=object)
+ array(['of'], dtype=object) array(['household', 'assets'], dtype=object)
+ array(['until'], dtype=object)
+ array(['the', 'last', 'decade'], dtype=object)
+ array(['when'], dtype=object) array(['they'], dtype=object)
+ array(['skyrocketed'], dtype=object)]",['the' 'other' 'hand'],['NP' 'SBAR' 'VP' 'PP'],0
+His estimate of 3.3 % for third-quarter GNP is higher than the consensus largely because he believes current inventories are n't as low as official figures indicate .,"[array(['His', 'estimate'], dtype=object) array(['of'], dtype=object)
+ array(['3.3', '%'], dtype=object) array(['for'], dtype=object)
+ array(['third-quarter', 'GNP'], dtype=object) array(['is'], dtype=object)
+ array(['higher'], dtype=object) array(['than'], dtype=object)
+ array(['the', 'consensus'], dtype=object)
+ array(['largely'], dtype=object) array(['because'], dtype=object)
+ array(['he'], dtype=object) array(['believes'], dtype=object)
+ array(['current', 'inventories'], dtype=object)
+ array(['are'], dtype=object) array(['as', 'low'], dtype=object)
+ array(['as'], dtype=object) array(['official', 'figures'], dtype=object)
+ array(['indicate'], dtype=object)]",['current' 'inventories'],['NP' 'VP' 'ADJP' 'PP'],0
+Renault and DAF Trucks NV announced a preliminary agreement to jointly manufacture a line of trucks in Britain and France .,"[array(['Renault'], dtype=object)
+ array(['DAF', 'Trucks', 'NV'], dtype=object)
+ array(['announced'], dtype=object)
+ array(['a', 'preliminary', 'agreement'], dtype=object)
+ array(['to', 'jointly', 'manufacture'], dtype=object)
+ array(['a', 'line'], dtype=object) array(['of'], dtype=object)
+ array(['trucks'], dtype=object) array(['in'], dtype=object)
+ array(['Britain', 'and', 'France'], dtype=object)]",['to' 'jointly' 'manufacture'],['VP' 'NP' 'PP' 'SBAR'],0
+"Robert M. Glorioso , Digital 's vice president for high performance systems , says Digital 's mainframe is designed not as a central computer around which everything revolves , but as part of a decentralized network weaving together hundreds of workstations , personal computers , printers and other devices .","[array(['Robert', 'M.', 'Glorioso'], dtype=object)
+ array(['Digital'], dtype=object)
+ array([""'s"", 'vice', 'president'], dtype=object)
+ array(['for'], dtype=object)
+ array(['high', 'performance', 'systems'], dtype=object)
+ array(['says'], dtype=object) array(['Digital'], dtype=object)
+ array([""'s"", 'mainframe'], dtype=object)
+ array(['is', 'designed'], dtype=object) array(['as'], dtype=object)
+ array(['a', 'central', 'computer'], dtype=object)
+ array(['around'], dtype=object) array(['which'], dtype=object)
+ array(['everything'], dtype=object) array(['revolves'], dtype=object)
+ array([',', 'but'], dtype=object) array(['as'], dtype=object)
+ array(['part'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'decentralized', 'network'], dtype=object)
+ array(['weaving'], dtype=object) array(['together'], dtype=object)
+ array(['hundreds'], dtype=object) array(['of'], dtype=object)
+ array(['workstations'], dtype=object)
+ array(['personal', 'computers'], dtype=object)
+ array(['printers'], dtype=object)
+ array(['other', 'devices'], dtype=object)]",['high' 'performance' 'systems'],['NP' 'ADJP' 'VP' 'PP'],0
+"Depending on the type of software and peripherals used , the machines can serve either as the main computer in a network of many terminals -LRB- a role usually filled by a minicomputer -RRB- , as a technical workstation or as a very fast personal computer .","[array(['Depending'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'type'], dtype=object) array(['of'], dtype=object)
+ array(['software', 'and', 'peripherals'], dtype=object)
+ array(['used'], dtype=object) array(['the', 'machines'], dtype=object)
+ array(['can', 'serve'], dtype=object) array(['as'], dtype=object)
+ array(['the', 'main', 'computer'], dtype=object)
+ array(['in'], dtype=object) array(['a', 'network'], dtype=object)
+ array(['of'], dtype=object) array(['many', 'terminals'], dtype=object)
+ array(['a', 'role'], dtype=object)
+ array(['usually', 'filled'], dtype=object) array(['by'], dtype=object)
+ array(['a', 'minicomputer'], dtype=object) array(['as'], dtype=object)
+ array(['a', 'technical', 'workstation'], dtype=object)
+ array(['or'], dtype=object) array(['as'], dtype=object)
+ array(['a', 'very', 'fast', 'personal', 'computer'], dtype=object)]",['a' 'minicomputer'],['NP' 'ADVP' 'VP' 'PP'],0
+"The Whitbread spirits auction `` is an extremely interesting development ... and naturally we 'll be considering it carefully , '' a Grand Met spokesman said .","[array(['The', 'Whitbread', 'spirits', 'auction'], dtype=object)
+ array(['is'], dtype=object)
+ array(['an', 'extremely', 'interesting', 'development'], dtype=object)
+ array(['naturally'], dtype=object) array(['we'], dtype=object)
+ array([""'ll"", 'be', 'considering'], dtype=object)
+ array(['it'], dtype=object) array(['carefully'], dtype=object)
+ array(['a', 'Grand', 'Met', 'spokesman'], dtype=object)
+ array(['said'], dtype=object)]",['it'],['NP' 'SBAR' 'PP' 'VP'],0
+"After all , farmers here work with `` hazardous '' chemicals every day , many of them the same chemicals that would have been destroyed in the incinerator .","[array(['After'], dtype=object) array(['all'], dtype=object)
+ array(['farmers'], dtype=object) array(['here'], dtype=object)
+ array(['work'], dtype=object) array(['with'], dtype=object)
+ array(['``', 'hazardous', ""''"", 'chemicals'], dtype=object)
+ array(['every', 'day'], dtype=object) array(['many'], dtype=object)
+ array(['of'], dtype=object) array(['them'], dtype=object)
+ array(['the', 'same', 'chemicals'], dtype=object)
+ array(['that'], dtype=object)
+ array(['would', 'have', 'been', 'destroyed'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'incinerator'], dtype=object)]",['work'],['VP' 'NP' 'PP' 'SBAR'],0
+"`` The board felt that the continued payment of our semiannual dividend was inconsistent with recent operating results , '' said Kenneth A. Eldred , president and chief executive officer .","[array(['The', 'board'], dtype=object) array(['felt'], dtype=object)
+ array(['that'], dtype=object)
+ array(['the', 'continued', 'payment'], dtype=object)
+ array(['of'], dtype=object)
+ array(['our', 'semiannual', 'dividend'], dtype=object)
+ array(['was'], dtype=object) array(['inconsistent'], dtype=object)
+ array(['with'], dtype=object)
+ array(['recent', 'operating', 'results'], dtype=object)
+ array(['said'], dtype=object)
+ array(['Kenneth', 'A.', 'Eldred'], dtype=object)
+ array(['president'], dtype=object)
+ array(['chief', 'executive', 'officer'], dtype=object)]",['of'],['PP' 'ADJP' 'VP' 'NP'],0
+"The earthquake shattered windows at San Francisco International 's air-traffic control tower and rained pieces of the ceiling down on controllers , three of whom suffered minor injuries .","[array(['The', 'earthquake'], dtype=object)
+ array(['shattered'], dtype=object) array(['windows'], dtype=object)
+ array(['at'], dtype=object)
+ array(['San', 'Francisco', 'International'], dtype=object)
+ array([""'s"", 'air-traffic', 'control', 'tower'], dtype=object)
+ array(['rained'], dtype=object) array(['pieces'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'ceiling'], dtype=object)
+ array(['down'], dtype=object) array(['on'], dtype=object)
+ array(['controllers'], dtype=object) array(['three'], dtype=object)
+ array(['of'], dtype=object) array(['whom'], dtype=object)
+ array(['suffered'], dtype=object)
+ array(['minor', 'injuries'], dtype=object)]",['of'],['PP' 'ADVP' 'NP' 'VP'],0
+"`` You need to buy the entire lot , '' Mr. Seidman said , `` so get out your checkbooks .","[array(['You'], dtype=object) array(['need', 'to', 'buy'], dtype=object)
+ array(['the', 'entire', 'lot'], dtype=object)
+ array(['Mr.', 'Seidman'], dtype=object) array(['said'], dtype=object)
+ array(['get'], dtype=object) array(['out'], dtype=object)
+ array(['your', 'checkbooks'], dtype=object)]",['the' 'entire' 'lot'],['NP' 'VP' 'PP' 'ADVP'],0
+"The mural , now valued at $ 1.3 million according to appraisers , was tossed in a trash heap in 1971 by workers who were renovating the building .","[array(['The', 'mural'], dtype=object)
+ array(['now', 'valued'], dtype=object) array(['at'], dtype=object)
+ array(['$', '1.3', 'million'], dtype=object)
+ array(['according'], dtype=object) array(['to'], dtype=object)
+ array(['appraisers'], dtype=object)
+ array(['was', 'tossed'], dtype=object) array(['in'], dtype=object)
+ array(['a', 'trash', 'heap'], dtype=object) array(['in'], dtype=object)
+ array(['1971'], dtype=object) array(['by'], dtype=object)
+ array(['workers'], dtype=object) array(['who'], dtype=object)
+ array(['were', 'renovating'], dtype=object)
+ array(['the', 'building'], dtype=object)]",['was' 'tossed'],['VP' 'NP' 'PP' 'ADVP'],0
+"`` Everything is going through firehoops right now , and -LCB- Chicago & North Western -RCB- is no exception , '' said Mariel Clemensen , vice president , high-yield research , at Citicorp .","[array(['Everything'], dtype=object) array(['is', 'going'], dtype=object)
+ array(['through'], dtype=object) array(['firehoops'], dtype=object)
+ array(['right', 'now'], dtype=object)
+ array(['Chicago', '&', 'North', 'Western'], dtype=object)
+ array(['is'], dtype=object) array(['no', 'exception'], dtype=object)
+ array(['said'], dtype=object)
+ array(['Mariel', 'Clemensen'], dtype=object)
+ array(['vice', 'president'], dtype=object)
+ array(['high-yield', 'research'], dtype=object)
+ array(['at'], dtype=object) array(['Citicorp'], dtype=object)]",['Mariel' 'Clemensen'],['NP' 'ADJP' 'VP' 'PP'],0
+"The targeted audit groups include direct sellers -- people who sell cosmetics , housewares and other items door to door or at home parties -- and employers who label workers as independent contractors instead of employees , to avoid the employer share of payroll taxes .","[array(['The', 'targeted', 'audit', 'groups'], dtype=object)
+ array(['include'], dtype=object)
+ array(['direct', 'sellers'], dtype=object)
+ array(['people'], dtype=object) array(['who'], dtype=object)
+ array(['sell'], dtype=object) array(['cosmetics'], dtype=object)
+ array(['housewares'], dtype=object)
+ array(['other', 'items'], dtype=object)
+ array(['door', 'to', 'door'], dtype=object) array(['at'], dtype=object)
+ array(['home', 'parties'], dtype=object)
+ array(['employers'], dtype=object) array(['who'], dtype=object)
+ array(['label'], dtype=object) array(['workers'], dtype=object)
+ array(['as'], dtype=object)
+ array(['independent', 'contractors'], dtype=object)
+ array(['instead', 'of'], dtype=object) array(['employees'], dtype=object)
+ array(['to', 'avoid'], dtype=object)
+ array(['the', 'employer', 'share'], dtype=object)
+ array(['of'], dtype=object) array(['payroll', 'taxes'], dtype=object)]",['instead' 'of'],['PP' 'ADVP' 'NP' 'VP'],0
+"Inmac recently disclosed a $ 12.3 million write-off related to a corporate restructuring that resulted in the company 's posting a $ 6.4 million net loss for the year ended July 29 , compared with year-earlier profit of $ 9.7 million , or $ 1.02 a share .","[array(['Inmac'], dtype=object) array(['recently'], dtype=object)
+ array(['disclosed'], dtype=object)
+ array(['a', '$', '12.3', 'million', 'write-off'], dtype=object)
+ array(['related'], dtype=object) array(['to'], dtype=object)
+ array(['a', 'corporate', 'restructuring'], dtype=object)
+ array(['that'], dtype=object) array(['resulted'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'company'], dtype=object)
+ array([""'s""], dtype=object) array(['posting'], dtype=object)
+ array(['a', '$', '6.4', 'million', 'net', 'loss'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'year'], dtype=object)
+ array(['ended'], dtype=object) array(['July', '29'], dtype=object)
+ array(['compared'], dtype=object) array(['with'], dtype=object)
+ array(['year-earlier', 'profit'], dtype=object)
+ array(['of'], dtype=object) array(['$', '9.7', 'million'], dtype=object)
+ array(['$', '1.02'], dtype=object) array(['a', 'share'], dtype=object)]",['ended'],['VP' 'SBAR' 'PP' 'NP'],0
+"IBM , based in Armonk , N.Y. , has dominated the market for decades .","[array(['IBM'], dtype=object) array(['based'], dtype=object)
+ array(['in'], dtype=object) array(['Armonk'], dtype=object)
+ array(['N.Y.'], dtype=object) array(['has', 'dominated'], dtype=object)
+ array(['the', 'market'], dtype=object) array(['for'], dtype=object)
+ array(['decades'], dtype=object)]",['decades'],['NP' 'VP' 'ADJP' 'PP'],0
+HUD officials said they will make available as many as 100 Bay area houses that are under HUD loans but now are vacant after the houses have been inspected to ensure they are sound .,"[array(['HUD', 'officials'], dtype=object) array(['said'], dtype=object)
+ array(['they'], dtype=object) array(['will', 'make'], dtype=object)
+ array(['available'], dtype=object)
+ array(['as', 'many', 'as', '100', 'Bay', 'area', 'houses'], dtype=object)
+ array(['that'], dtype=object) array(['are'], dtype=object)
+ array(['under'], dtype=object) array(['HUD', 'loans'], dtype=object)
+ array(['now', 'are'], dtype=object) array(['vacant'], dtype=object)
+ array(['after'], dtype=object) array(['the', 'houses'], dtype=object)
+ array(['have', 'been', 'inspected'], dtype=object)
+ array(['to', 'ensure'], dtype=object) array(['they'], dtype=object)
+ array(['are'], dtype=object) array(['sound'], dtype=object)]",['sound'],['ADJP' 'PP' 'SBAR' 'VP'],0
+"In the wake of Campeau 's problems , prices of junk bonds tumbled , throwing into doubt the ability of corporate acquirers to finance large takeovers with the help of junk bond sales .","[array(['In'], dtype=object) array(['the', 'wake'], dtype=object)
+ array(['of'], dtype=object) array(['Campeau'], dtype=object)
+ array([""'s"", 'problems'], dtype=object) array(['prices'], dtype=object)
+ array(['of'], dtype=object) array(['junk', 'bonds'], dtype=object)
+ array(['tumbled'], dtype=object) array(['throwing'], dtype=object)
+ array(['into'], dtype=object) array(['doubt'], dtype=object)
+ array(['the', 'ability'], dtype=object) array(['of'], dtype=object)
+ array(['corporate', 'acquirers'], dtype=object)
+ array(['to', 'finance'], dtype=object)
+ array(['large', 'takeovers'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'help'], dtype=object) array(['of'], dtype=object)
+ array(['junk', 'bond', 'sales'], dtype=object)]",['into'],['PP' 'NP' 'ADVP' 'VP'],0
+"In appealing to those with a bit of larceny in their hearts , the fraud artist can insist that a person keep an investment secret -- insulating himself from being discovered and keeping his victim from consulting with others .","[array(['In'], dtype=object) array(['appealing'], dtype=object)
+ array(['to'], dtype=object) array(['those'], dtype=object)
+ array(['with'], dtype=object) array(['a', 'bit'], dtype=object)
+ array(['of'], dtype=object) array(['larceny'], dtype=object)
+ array(['in'], dtype=object) array(['their', 'hearts'], dtype=object)
+ array(['the', 'fraud', 'artist'], dtype=object)
+ array(['can', 'insist'], dtype=object) array(['that'], dtype=object)
+ array(['a', 'person'], dtype=object) array(['keep'], dtype=object)
+ array(['an', 'investment'], dtype=object) array(['secret'], dtype=object)
+ array(['insulating'], dtype=object) array(['himself'], dtype=object)
+ array(['from'], dtype=object)
+ array(['being', 'discovered'], dtype=object)
+ array(['keeping'], dtype=object) array(['his', 'victim'], dtype=object)
+ array(['from'], dtype=object) array(['consulting'], dtype=object)
+ array(['with'], dtype=object) array(['others'], dtype=object)]",['secret'],['ADJP' 'NP' 'VP' 'PP'],0
+"Pearl Group rose 5 to 628 , and Sun Life finished unchanged at # 10.98 .","[array(['Pearl', 'Group'], dtype=object) array(['rose'], dtype=object)
+ array(['5'], dtype=object) array(['to'], dtype=object)
+ array(['628'], dtype=object) array(['Sun', 'Life'], dtype=object)
+ array(['finished'], dtype=object) array(['unchanged'], dtype=object)
+ array(['at'], dtype=object) array(['#', '10.98'], dtype=object)]",['#' '10.98'],['NP' 'VP' 'ADVP' 'PP'],0
+"It is one of a series of studies on health commissioned by the New York Business Group , a non-profit organization with about 300 members .","[array(['It'], dtype=object) array(['is'], dtype=object)
+ array(['one'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'series'], dtype=object) array(['of'], dtype=object)
+ array(['studies'], dtype=object) array(['on'], dtype=object)
+ array(['health'], dtype=object) array(['commissioned'], dtype=object)
+ array(['by'], dtype=object)
+ array(['the', 'New', 'York', 'Business', 'Group'], dtype=object)
+ array(['a', 'non-profit', 'organization'], dtype=object)
+ array(['with'], dtype=object)
+ array(['about', '300', 'members'], dtype=object)]",['one'],['NP' 'ADVP' 'VP' 'PP'],0
+-- During the 1970s the commercial banks lured the country loan business away from the bond markets where the discipline of a prospectus and `` Use of Proceeds '' confirmation allowed lenders to audit expenditures of old loans before new loans were made .,"[array(['During'], dtype=object) array(['the', '1970s'], dtype=object)
+ array(['the', 'commercial', 'banks'], dtype=object)
+ array(['lured'], dtype=object)
+ array(['the', 'country', 'loan', 'business'], dtype=object)
+ array(['away'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'bond', 'markets'], dtype=object)
+ array(['where'], dtype=object) array(['the', 'discipline'], dtype=object)
+ array(['of'], dtype=object) array(['a', 'prospectus'], dtype=object)
+ array(['of'], dtype=object) array(['Proceeds'], dtype=object)
+ array([""''"", 'confirmation'], dtype=object)
+ array(['allowed'], dtype=object) array(['lenders'], dtype=object)
+ array(['to', 'audit'], dtype=object)
+ array(['expenditures'], dtype=object) array(['of'], dtype=object)
+ array(['old', 'loans'], dtype=object) array(['before'], dtype=object)
+ array(['new', 'loans'], dtype=object)
+ array(['were', 'made'], dtype=object)]",['of'],['PP' 'NP' 'VP' 'SBAR'],0
+"The company also said it privately placed stock and warrants in exchange for $ 750,000 .","[array(['The', 'company'], dtype=object) array(['also'], dtype=object)
+ array(['said'], dtype=object) array(['it'], dtype=object)
+ array(['privately'], dtype=object) array(['placed'], dtype=object)
+ array(['stock', 'and', 'warrants'], dtype=object)
+ array(['in'], dtype=object) array(['exchange'], dtype=object)
+ array(['for'], dtype=object) array(['$', '750,000'], dtype=object)]",['in'],['PP' 'SBAR' 'VP' 'NP'],0
+Portfolio managers say sweeteners like equity kickers and stricter protective covenants may increasingly be required to sell junk-bond deals .,"[array(['Portfolio', 'managers'], dtype=object)
+ array(['say'], dtype=object) array(['sweeteners'], dtype=object)
+ array(['like'], dtype=object) array(['equity', 'kickers'], dtype=object)
+ array(['stricter', 'protective', 'covenants'], dtype=object)
+ array(['may', 'increasingly', 'be', 'required'], dtype=object)
+ array(['to', 'sell'], dtype=object)
+ array(['junk-bond', 'deals'], dtype=object)]",['stricter' 'protective' 'covenants'],['NP' 'ADVP' 'VP' 'PP'],0
+"A young man called July -LRB- that 's when he was born -RRB- , who works at the railroad station just up the street from the Orange Workers office , points at the whitewalled building and says matter-of-factly , `` We 're not allowed in there , that 's all I know . ''","[array(['A', 'young', 'man'], dtype=object)
+ array(['called'], dtype=object) array(['July'], dtype=object)
+ array(['that'], dtype=object) array([""'s""], dtype=object)
+ array(['when'], dtype=object) array(['he'], dtype=object)
+ array(['was', 'born'], dtype=object) array(['who'], dtype=object)
+ array(['works'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'railroad', 'station'], dtype=object)
+ array(['just', 'up'], dtype=object)
+ array(['the', 'street'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'Orange', 'Workers', 'office'], dtype=object)
+ array(['points'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'whitewalled', 'building'], dtype=object)
+ array(['says'], dtype=object) array(['matter-of-factly'], dtype=object)
+ array(['We'], dtype=object)
+ array([""'re"", 'not', 'allowed'], dtype=object)
+ array(['in'], dtype=object) array(['there'], dtype=object)
+ array(['that'], dtype=object) array([""'s""], dtype=object)
+ array(['all'], dtype=object) array(['I'], dtype=object)
+ array(['know'], dtype=object)]",['at'],['PP' 'SBAR' 'VP' 'NP'],0
+"Separately , Gillette said its third-quarter earnings rose 2 % to $ 65.2 million , or 57 cents a share , from $ 63.9 million , or 57 cents a share , in the year-earlier period ; per-share earnings remained flat despite an increase in net income in part because the company paid a $ 10.4 million dividend on the new preferred stock in the period .","[array(['Separately'], dtype=object) array(['Gillette'], dtype=object)
+ array(['said'], dtype=object)
+ array(['its', 'third-quarter', 'earnings'], dtype=object)
+ array(['rose'], dtype=object) array(['2', '%'], dtype=object)
+ array(['to'], dtype=object) array(['$', '65.2', 'million'], dtype=object)
+ array(['57', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '63.9', 'million'], dtype=object)
+ array(['57', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'year-earlier', 'period'], dtype=object)
+ array(['per-share', 'earnings'], dtype=object)
+ array(['remained'], dtype=object) array(['flat'], dtype=object)
+ array(['despite'], dtype=object) array(['an', 'increase'], dtype=object)
+ array(['in'], dtype=object) array(['net', 'income'], dtype=object)
+ array(['in'], dtype=object) array(['part'], dtype=object)
+ array(['because'], dtype=object) array(['the', 'company'], dtype=object)
+ array(['paid'], dtype=object)
+ array(['a', '$', '10.4', 'million', 'dividend'], dtype=object)
+ array(['on'], dtype=object)
+ array(['the', 'new', 'preferred', 'stock'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'period'], dtype=object)]",['57' 'cents'],['NP' 'SBAR' 'VP' 'PP'],0
+"`` It 's a very uncertain situation right now , '' said Navin Vyas , administrative assistant of trading floor operations of the exchange , which has daily volume of about 10 million shares .","[array(['It'], dtype=object) array([""'s""], dtype=object)
+ array(['a', 'very', 'uncertain', 'situation'], dtype=object)
+ array(['right', 'now'], dtype=object) array(['said'], dtype=object)
+ array(['Navin', 'Vyas'], dtype=object)
+ array(['administrative', 'assistant'], dtype=object)
+ array(['of'], dtype=object)
+ array(['trading', 'floor', 'operations'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'exchange'], dtype=object)
+ array(['which'], dtype=object) array(['has'], dtype=object)
+ array(['daily', 'volume'], dtype=object) array(['of'], dtype=object)
+ array(['about', '10', 'million', 'shares'], dtype=object)]","[""'s""]",['VP' 'NP' 'PP' 'ADVP'],0
+"Purchase of the businesses serving Miami , Fort Lauderdale and West Palm Beach , Fla. , is part of a plan by Chambers to expand in the growing security industry .","[array(['Purchase'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'businesses'], dtype=object)
+ array(['serving'], dtype=object) array(['Miami'], dtype=object)
+ array(['Fort', 'Lauderdale'], dtype=object)
+ array(['West', 'Palm', 'Beach'], dtype=object)
+ array(['Fla.'], dtype=object) array(['is'], dtype=object)
+ array(['part'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'plan'], dtype=object) array(['by'], dtype=object)
+ array(['Chambers'], dtype=object) array(['to', 'expand'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'growing', 'security', 'industry'], dtype=object)]",['Chambers'],['NP' 'ADJP' 'VP' 'PP'],0
+Sounds great -- or does it ?,"[array(['Sounds'], dtype=object) array(['great'], dtype=object)
+ array(['it'], dtype=object)]",['great'],['ADJP' 'VP' 'SBAR' 'NP'],0
+"Here are price trends on the world 's major stock markets , as calculated by Morgan Stanley Capital International Perspective , Geneva .","[array(['Here'], dtype=object) array(['are'], dtype=object)
+ array(['price', 'trends'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'world'], dtype=object)
+ array([""'s"", 'major', 'stock', 'markets'], dtype=object)
+ array(['as'], dtype=object) array(['calculated'], dtype=object)
+ array(['by'], dtype=object)
+ array(['Morgan', 'Stanley', 'Capital', 'International', 'Perspective'],
+       dtype=object)
+ array(['Geneva'], dtype=object)]",['are'],['VP' 'PP' 'NP' 'ADJP'],0
+"Hit by higher costs and lower sales , Caterpillar Inc. said third-quarter earnings tumbled 43 % and full-year earnings will trail last year 's results .","[array(['Hit'], dtype=object) array(['by'], dtype=object)
+ array(['higher', 'costs'], dtype=object)
+ array(['lower', 'sales'], dtype=object)
+ array(['Caterpillar', 'Inc.'], dtype=object)
+ array(['said'], dtype=object)
+ array(['third-quarter', 'earnings'], dtype=object)
+ array(['tumbled'], dtype=object) array(['43', '%'], dtype=object)
+ array(['full-year', 'earnings'], dtype=object)
+ array(['will', 'trail'], dtype=object)
+ array(['last', 'year'], dtype=object)
+ array([""'s"", 'results'], dtype=object)]","[""'s"" 'results']",['NP' 'VP' 'PP' 'ADVP'],0
+"He added , though , that `` a lot of this is intentions ... .","[array(['He'], dtype=object) array(['added'], dtype=object)
+ array(['though'], dtype=object) array(['that'], dtype=object)
+ array(['a', 'lot'], dtype=object) array(['of'], dtype=object)
+ array(['this'], dtype=object) array(['is'], dtype=object)
+ array(['intentions'], dtype=object)]",['this'],['NP' 'VP' 'ADJP' 'PP'],0
+"All told , Mr. Parker does a better job of making a novel out of this abandoned fragment than anyone might have had a right to expect .","[array(['All'], dtype=object) array(['told'], dtype=object)
+ array(['Mr.', 'Parker'], dtype=object) array(['does'], dtype=object)
+ array(['a', 'better', 'job'], dtype=object) array(['of'], dtype=object)
+ array(['making'], dtype=object) array(['a', 'novel'], dtype=object)
+ array(['out'], dtype=object) array(['of'], dtype=object)
+ array(['this', 'abandoned', 'fragment'], dtype=object)
+ array(['than'], dtype=object) array(['anyone'], dtype=object)
+ array(['might', 'have', 'had'], dtype=object)
+ array(['a', 'right'], dtype=object) array(['to', 'expect'], dtype=object)]",['making'],['VP' 'ADVP' 'NP' 'PP'],0
+"The spokeswoman said the company does n't have a timetable for the sale , adding that the board 's decision just starts the search for a buyer .","[array(['The', 'spokeswoman'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array(['does', ""n't"", 'have'], dtype=object)
+ array(['a', 'timetable'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'sale'], dtype=object) array(['adding'], dtype=object)
+ array(['that'], dtype=object) array(['the', 'board'], dtype=object)
+ array([""'s"", 'decision'], dtype=object) array(['just'], dtype=object)
+ array(['starts'], dtype=object) array(['the', 'search'], dtype=object)
+ array(['for'], dtype=object) array(['a', 'buyer'], dtype=object)]",['the' 'board'],['NP' 'ADVP' 'VP' 'PP'],0
+"Meanwhile , the FEMA announced a toll-free telephone number -LRB- 800-462-9029 -RRB- to expedite service to victims of the earthquake .","[array(['Meanwhile'], dtype=object) array(['the', 'FEMA'], dtype=object)
+ array(['announced'], dtype=object)
+ array(['a', 'toll-free', 'telephone', 'number'], dtype=object)
+ array(['800-462-9029'], dtype=object)
+ array(['to', 'expedite'], dtype=object) array(['service'], dtype=object)
+ array(['to'], dtype=object) array(['victims'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'earthquake'], dtype=object)]",['victims'],['NP' 'ADVP' 'PP' 'VP'],0
+"Regrettably , too , Mr. Ortiz resorts to the familiar `` numbers game '' when he boasts that `` fewer than 392 -LCB- state enterprises -RCB- currently remain in the public sector , '' down from the `` 1,155 public entities that existed in 1982 .","[array(['Regrettably'], dtype=object) array(['too'], dtype=object)
+ array(['Mr.', 'Ortiz'], dtype=object) array(['resorts'], dtype=object)
+ array(['to'], dtype=object)
+ array(['the', 'familiar', '``', 'numbers', 'game'], dtype=object)
+ array(['when'], dtype=object) array(['he'], dtype=object)
+ array(['boasts'], dtype=object) array(['that'], dtype=object)
+ array(['fewer', 'than', '392'], dtype=object)
+ array(['currently'], dtype=object) array(['remain'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'public', 'sector'], dtype=object)
+ array(['down'], dtype=object) array(['from'], dtype=object)
+ array(['the', '``', '1,155', 'public', 'entities'], dtype=object)
+ array(['that'], dtype=object) array(['existed'], dtype=object)
+ array(['in'], dtype=object) array(['1982'], dtype=object)]",['the' 'familiar' '``' 'numbers' 'game'],['NP' 'PP' 'SBAR' 'VP'],0
+"Shippers cut about $ 35 billion from their annual , inter-city truck and rail costs , to about $ 150 billion , or about 6.4 % of gross national product , down from 8 % of GNP in 1981 .","[array(['Shippers'], dtype=object) array(['cut'], dtype=object)
+ array(['about', '$', '35', 'billion'], dtype=object)
+ array(['from'], dtype=object)
+ array(['their', 'annual', ',', 'inter-city', 'truck', 'and', 'rail',
+        'costs'], dtype=object)
+ array(['to'], dtype=object)
+ array(['about', '$', '150', 'billion'], dtype=object)
+ array(['about', '6.4', '%'], dtype=object) array(['of'], dtype=object)
+ array(['gross', 'national', 'product'], dtype=object)
+ array(['down'], dtype=object) array(['from'], dtype=object)
+ array(['8', '%'], dtype=object) array(['of'], dtype=object)
+ array(['GNP'], dtype=object) array(['in'], dtype=object)
+ array(['1981'], dtype=object)]",['1981'],['NP' 'PP' 'VP' 'ADJP'],0
+"But with its 10.4 % stake , Ford can convene a special Jaguar shareholders ' meeting and urge them to drop the restrictions prematurely .","[array(['with'], dtype=object)
+ array(['its', '10.4', '%', 'stake'], dtype=object)
+ array(['Ford'], dtype=object) array(['can', 'convene'], dtype=object)
+ array(['Jaguar', 'shareholders'], dtype=object)
+ array([""'"", 'meeting'], dtype=object) array(['urge'], dtype=object)
+ array(['them'], dtype=object) array(['to', 'drop'], dtype=object)
+ array(['the', 'restrictions'], dtype=object)
+ array(['prematurely'], dtype=object)]",['its' '10.4' '%' 'stake'],['NP' 'PP' 'ADVP' 'VP'],0
+"He was later shown on television , fielding questions .","[array(['He'], dtype=object)
+ array(['was', 'later', 'shown'], dtype=object)
+ array(['on'], dtype=object) array(['television'], dtype=object)
+ array(['fielding'], dtype=object) array(['questions'], dtype=object)]",['questions'],['NP' 'PP' 'ADVP' 'VP'],0
+"Never mind that First Gibraltar is one of the failed Texas thrifts taken over by outsiders -- in this case , an investor group headed by New York financier Ronald Perelman .","[array(['Never'], dtype=object) array(['mind'], dtype=object)
+ array(['that'], dtype=object) array(['First', 'Gibraltar'], dtype=object)
+ array(['is'], dtype=object) array(['one'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'failed', 'Texas', 'thrifts'], dtype=object)
+ array(['taken'], dtype=object) array(['over'], dtype=object)
+ array(['by'], dtype=object) array(['outsiders'], dtype=object)
+ array(['in'], dtype=object) array(['this', 'case'], dtype=object)
+ array(['an', 'investor', 'group'], dtype=object)
+ array(['headed'], dtype=object) array(['by'], dtype=object)
+ array(['New', 'York', 'financier', 'Ronald', 'Perelman'], dtype=object)]",['mind'],['VP' 'ADVP' 'NP' 'PP'],0
+"That growth is the result of Mr. Andersson 's shopping spree , during which he has bought and sold more than 100 companies during the past five years .","[array(['That', 'growth'], dtype=object) array(['is'], dtype=object)
+ array(['the', 'result'], dtype=object) array(['of'], dtype=object)
+ array(['Mr.', 'Andersson'], dtype=object)
+ array([""'s"", 'shopping', 'spree'], dtype=object)
+ array(['during'], dtype=object) array(['which'], dtype=object)
+ array(['he'], dtype=object)
+ array(['has', 'bought', 'and', 'sold'], dtype=object)
+ array(['more', 'than', '100', 'companies'], dtype=object)
+ array(['during'], dtype=object)
+ array(['the', 'past', 'five', 'years'], dtype=object)]",['during'],['PP' 'ADVP' 'NP' 'VP'],0
+"A year ago , Viacom had a net loss of $ 56.9 million , or $ 1.07 a share .","[array(['A', 'year'], dtype=object) array(['ago'], dtype=object)
+ array(['Viacom'], dtype=object) array(['had'], dtype=object)
+ array(['a', 'net', 'loss'], dtype=object) array(['of'], dtype=object)
+ array(['$', '56.9', 'million'], dtype=object)
+ array(['$', '1.07'], dtype=object) array(['a', 'share'], dtype=object)]",['of'],['PP' 'SBAR' 'VP' 'NP'],0
+"`` Indexing has been the most single successful investment concept in the last decade , but the index money has been just sort of sitting there , '' says Seth M. Lynn , president of Axe Core Investors Inc. , an indexer based in Tarrytown , N.Y .","[array(['Indexing'], dtype=object) array(['has', 'been'], dtype=object)
+ array(['the', 'most', 'single', 'successful', 'investment', 'concept'],
+       dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'last', 'decade'], dtype=object)
+ array(['the', 'index', 'money'], dtype=object)
+ array(['has', 'been', 'just', 'sort', 'of', 'sitting'], dtype=object)
+ array(['there'], dtype=object) array(['says'], dtype=object)
+ array(['Seth', 'M.', 'Lynn'], dtype=object)
+ array(['president'], dtype=object) array(['of'], dtype=object)
+ array(['Axe', 'Core', 'Investors', 'Inc.'], dtype=object)
+ array(['an', 'indexer'], dtype=object) array(['based'], dtype=object)
+ array(['in'], dtype=object) array(['Tarrytown'], dtype=object)
+ array(['N.Y'], dtype=object)]",['the' 'last' 'decade'],['NP' 'VP' 'PP' 'ADJP'],0
+"As a result of last year 's decline , the government 's estimate for the number of people living below the poverty line declined by about 500,000 .","[array(['As'], dtype=object) array(['a', 'result'], dtype=object)
+ array(['of'], dtype=object) array(['last', 'year'], dtype=object)
+ array([""'s"", 'decline'], dtype=object)
+ array(['the', 'government'], dtype=object)
+ array([""'s"", 'estimate'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'number'], dtype=object) array(['of'], dtype=object)
+ array(['people'], dtype=object) array(['living'], dtype=object)
+ array(['below'], dtype=object)
+ array(['the', 'poverty', 'line'], dtype=object)
+ array(['declined'], dtype=object) array(['by'], dtype=object)
+ array(['about', '500,000'], dtype=object)]",['by'],['PP' 'ADVP' 'NP' 'VP'],0
+"The Nikkei , which reached as high as 35611.38 right after the opening , surrendered part of its early advance toward the end of the day because of profit-taking .","[array(['The', 'Nikkei'], dtype=object) array(['which'], dtype=object)
+ array(['reached'], dtype=object) array(['as', 'high'], dtype=object)
+ array(['as'], dtype=object) array(['35611.38'], dtype=object)
+ array(['right'], dtype=object) array(['after'], dtype=object)
+ array(['the', 'opening'], dtype=object)
+ array(['surrendered'], dtype=object) array(['part'], dtype=object)
+ array(['of'], dtype=object)
+ array(['its', 'early', 'advance'], dtype=object)
+ array(['toward'], dtype=object) array(['the', 'end'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'day'], dtype=object)
+ array(['because', 'of'], dtype=object)
+ array(['profit-taking'], dtype=object)]",['after'],['PP' 'SBAR' 'NP' 'VP'],0
+To leave this decision to an `` independent '' agency is not only undemocratic .,"[array(['To', 'leave'], dtype=object)
+ array(['this', 'decision'], dtype=object) array(['to'], dtype=object)
+ array(['an', '``', 'independent', ""''"", 'agency'], dtype=object)
+ array(['is'], dtype=object) array(['undemocratic'], dtype=object)]",['to'],['PP' 'NP' 'ADJP' 'ADVP'],0
+"The company , which also has businesses in life insurance , office products and hardware , and home-improvement products , said net income rose to $ 166.4 million , or $ 1.71 a share , from $ 146.8 million , or $ 1.53 a share , a year earlier .","[array(['The', 'company'], dtype=object) array(['which'], dtype=object)
+ array(['also'], dtype=object) array(['has'], dtype=object)
+ array(['businesses'], dtype=object) array(['in'], dtype=object)
+ array(['life', 'insurance'], dtype=object)
+ array(['office', 'products', 'and', 'hardware'], dtype=object)
+ array(['home-improvement', 'products'], dtype=object)
+ array(['said'], dtype=object) array(['net', 'income'], dtype=object)
+ array(['rose'], dtype=object) array(['to'], dtype=object)
+ array(['$', '166.4', 'million'], dtype=object)
+ array(['$', '1.71'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '146.8', 'million'], dtype=object)
+ array(['$', '1.53'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['earlier'], dtype=object)]",['$' '146.8' 'million'],['NP' 'ADVP' 'VP' 'PP'],0
+"When he visited the company 's office , he says , it had `` all the trappings of legitimacy . ''","[array(['When'], dtype=object) array(['he'], dtype=object)
+ array(['visited'], dtype=object) array(['the', 'company'], dtype=object)
+ array([""'s"", 'office'], dtype=object) array(['he'], dtype=object)
+ array(['says'], dtype=object) array(['it'], dtype=object)
+ array(['had'], dtype=object)
+ array(['all', 'the', 'trappings'], dtype=object)
+ array(['of'], dtype=object) array(['legitimacy'], dtype=object)]",['legitimacy'],['NP' 'VP' 'ADJP' 'PP'],0
+"He takes issue with projections that do n't factor in students ' own contribution , which reduces most parents ' burden substantially .","[array(['He'], dtype=object) array(['takes'], dtype=object)
+ array(['issue'], dtype=object) array(['with'], dtype=object)
+ array(['projections'], dtype=object) array(['that'], dtype=object)
+ array(['do'], dtype=object) array(['factor'], dtype=object)
+ array(['in'], dtype=object) array(['students'], dtype=object)
+ array([""'"", 'own', 'contribution'], dtype=object)
+ array(['which'], dtype=object) array(['reduces'], dtype=object)
+ array(['most', 'parents'], dtype=object)
+ array([""'"", 'burden'], dtype=object)
+ array(['substantially'], dtype=object)]",['in'],['PRT' 'ADVP' 'PP' 'NP'],0
+"Georgia Gulf had 24.9 million shares outstanding on average in the quarter , compared with 28.6 million in the third quarter of 1988 , adjusted for a stock split paid in January 1989 .","[array(['Georgia', 'Gulf'], dtype=object) array(['had'], dtype=object)
+ array(['24.9', 'million', 'shares'], dtype=object)
+ array(['outstanding'], dtype=object) array(['on'], dtype=object)
+ array(['average'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'quarter'], dtype=object) array(['compared'], dtype=object)
+ array(['with'], dtype=object) array(['28.6', 'million'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'third', 'quarter'], dtype=object)
+ array(['of'], dtype=object) array(['1988'], dtype=object)
+ array(['adjusted'], dtype=object) array(['for'], dtype=object)
+ array(['a', 'stock', 'split'], dtype=object)
+ array(['paid'], dtype=object) array(['in'], dtype=object)
+ array(['January', '1989'], dtype=object)]",['January' '1989'],['NP' 'PP' 'ADJP' 'VP'],0
+"AMR 's chairman , Robert L. Crandall , said the results were due to an 11 % year-to-year increase in fuel prices and a slight decrease in yield , an industry measure analogous to profit margin on each seat sold .","[array(['AMR'], dtype=object) array([""'s"", 'chairman'], dtype=object)
+ array(['Robert', 'L.', 'Crandall'], dtype=object)
+ array(['said'], dtype=object) array(['the', 'results'], dtype=object)
+ array(['were'], dtype=object) array(['due'], dtype=object)
+ array(['to'], dtype=object)
+ array(['an', '11', '%', 'year-to-year', 'increase'], dtype=object)
+ array(['in'], dtype=object) array(['fuel', 'prices'], dtype=object)
+ array(['a', 'slight', 'decrease'], dtype=object)
+ array(['in'], dtype=object) array(['yield'], dtype=object)
+ array(['an', 'industry', 'measure'], dtype=object)
+ array(['analogous'], dtype=object) array(['to'], dtype=object)
+ array(['profit', 'margin'], dtype=object) array(['on'], dtype=object)
+ array(['each', 'seat'], dtype=object) array(['sold'], dtype=object)]",['on'],['PP' 'ADVP' 'NP' 'VP'],0
+"People familiar with the company say the board is n't likely to give quick approval to any offer substantially below the $ 300-a-share , $ 6.79 billion buy-out bid that collapsed last week after banks would n't raise needed loans and after a key partner , British Airways PLC , dropped out .","[array(['People'], dtype=object) array(['familiar'], dtype=object)
+ array(['with'], dtype=object) array(['the', 'company'], dtype=object)
+ array(['say'], dtype=object) array(['the', 'board'], dtype=object)
+ array(['is'], dtype=object) array(['likely'], dtype=object)
+ array(['to', 'give'], dtype=object)
+ array(['quick', 'approval'], dtype=object) array(['to'], dtype=object)
+ array(['any', 'offer'], dtype=object)
+ array(['substantially'], dtype=object) array(['below'], dtype=object)
+ array(['the', '$', '300-a-share', ',', '$', '6.79', 'billion', 'buy-out',
+        'bid'], dtype=object)
+ array(['that'], dtype=object) array(['collapsed'], dtype=object)
+ array(['last', 'week'], dtype=object) array(['after'], dtype=object)
+ array(['banks'], dtype=object)
+ array(['would', ""n't"", 'raise'], dtype=object)
+ array(['needed', 'loans'], dtype=object) array(['after'], dtype=object)
+ array(['a', 'key', 'partner'], dtype=object)
+ array(['British', 'Airways', 'PLC'], dtype=object)
+ array(['dropped'], dtype=object) array(['out'], dtype=object)]",['the' 'board'],['NP' 'PP' 'VP' 'SBAR'],0
+"Mr. Butz said the divergence in the two measures reflects changes in family size and structure , including the rising number of female-headed families and a sharp increase in income reported by Americans who are n't living in families .","[array(['Mr.', 'Butz'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'divergence'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'two', 'measures'], dtype=object)
+ array(['reflects'], dtype=object) array(['changes'], dtype=object)
+ array(['in'], dtype=object)
+ array(['family', 'size', 'and', 'structure'], dtype=object)
+ array(['including'], dtype=object)
+ array(['the', 'rising', 'number'], dtype=object)
+ array(['of'], dtype=object)
+ array(['female-headed', 'families'], dtype=object)
+ array(['a', 'sharp', 'increase'], dtype=object)
+ array(['in'], dtype=object) array(['income'], dtype=object)
+ array(['reported'], dtype=object) array(['by'], dtype=object)
+ array(['Americans'], dtype=object) array(['who'], dtype=object)
+ array(['are', ""n't"", 'living'], dtype=object) array(['in'], dtype=object)
+ array(['families'], dtype=object)]",['Americans'],['NP' 'PRT' 'ADJP' 'PP'],0
+Business and civic operations lurched back toward normalcy here as congressional officials estimated that the price tag for emergency assistance to earthquake-ravaged California would total at least $ 2.5 billion .,"[array(['Business', 'and', 'civic', 'operations'], dtype=object)
+ array(['lurched'], dtype=object) array(['back'], dtype=object)
+ array(['toward'], dtype=object) array(['normalcy'], dtype=object)
+ array(['here'], dtype=object) array(['as'], dtype=object)
+ array(['congressional', 'officials'], dtype=object)
+ array(['estimated'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'price', 'tag'], dtype=object) array(['for'], dtype=object)
+ array(['emergency', 'assistance'], dtype=object)
+ array(['to'], dtype=object)
+ array(['earthquake-ravaged', 'California'], dtype=object)
+ array(['would', 'total'], dtype=object)
+ array(['at', 'least', '$', '2.5', 'billion'], dtype=object)]",['earthquake-ravaged' 'California'],['NP' 'SBAR' 'VP' 'PP'],0
+"Forecasts for the trade figures range widely , but few economists expect the data to show a very marked improvement from the # 2 billion -LRB- $ 3.2 billion -RRB- deficit in the current account reported for August .","[array(['Forecasts'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'trade', 'figures'], dtype=object)
+ array(['range'], dtype=object) array(['widely'], dtype=object)
+ array(['few', 'economists'], dtype=object)
+ array(['expect'], dtype=object) array(['the', 'data'], dtype=object)
+ array(['to', 'show'], dtype=object)
+ array(['a', 'very', 'marked', 'improvement'], dtype=object)
+ array(['from'], dtype=object) array(['$'], dtype=object)
+ array(['deficit'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'current', 'account'], dtype=object)
+ array(['reported'], dtype=object) array(['for'], dtype=object)
+ array(['August'], dtype=object)]",['Forecasts'],['NP' 'PP' 'ADJP' 'VP'],0
+"Instead , both congressional and administration officials agreed , it grew out of talks about coup-planning in Panama that were initiated by the administration in July 1988 and stretched into last October .","[array(['Instead'], dtype=object)
+ array(['both', 'congressional', 'and', 'administration', 'officials'],
+       dtype=object)
+ array(['agreed'], dtype=object) array(['it'], dtype=object)
+ array(['grew'], dtype=object) array(['out'], dtype=object)
+ array(['of'], dtype=object) array(['talks'], dtype=object)
+ array(['about'], dtype=object) array(['coup-planning'], dtype=object)
+ array(['in'], dtype=object) array(['Panama'], dtype=object)
+ array(['that'], dtype=object) array(['were', 'initiated'], dtype=object)
+ array(['by'], dtype=object)
+ array(['the', 'administration'], dtype=object)
+ array(['in'], dtype=object) array(['July', '1988'], dtype=object)
+ array(['stretched'], dtype=object) array(['into'], dtype=object)
+ array(['last', 'October'], dtype=object)]",['it'],['NP' 'ADVP' 'PP' 'VP'],0
+"Esso , a unit of Imperial Oil Ltd. which is 71%-owned by Exxon Corp. , will be allowed to export 5.1 trillion cubic feet to the U.S. in the 20-year period .","[array(['Esso'], dtype=object) array(['a', 'unit'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Imperial', 'Oil', 'Ltd.'], dtype=object)
+ array(['which'], dtype=object) array(['is'], dtype=object)
+ array(['71%-owned'], dtype=object) array(['by'], dtype=object)
+ array(['Exxon', 'Corp.'], dtype=object)
+ array(['will', 'be', 'allowed', 'to', 'export'], dtype=object)
+ array(['5.1', 'trillion', 'cubic', 'feet'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'U.S.'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', '20-year', 'period'], dtype=object)]",['will' 'be' 'allowed' 'to' 'export'],['VP' 'NP' 'PP' 'PRT'],0
+"Dissident playwright Vaclav Havel reportedly escaped the crackdown , the fourth against activists in recent days .","[array(['Dissident', 'playwright', 'Vaclav', 'Havel'], dtype=object)
+ array(['reportedly'], dtype=object) array(['escaped'], dtype=object)
+ array(['the', 'crackdown'], dtype=object)
+ array(['the', 'fourth'], dtype=object) array(['against'], dtype=object)
+ array(['activists'], dtype=object) array(['in'], dtype=object)
+ array(['recent', 'days'], dtype=object)]",['in'],['PP' 'SBAR' 'VP' 'NP'],0
+"When the movie opens the Baker brothers are doing what they 've done for 15 years professionally , and twice as long as that for themselves : They 're playing proficient piano , face-to-face , on twin pianos .","[array(['When'], dtype=object) array(['the', 'movie'], dtype=object)
+ array(['opens'], dtype=object)
+ array(['the', 'Baker', 'brothers'], dtype=object)
+ array(['are', 'doing'], dtype=object) array(['what'], dtype=object)
+ array(['they'], dtype=object) array([""'ve"", 'done'], dtype=object)
+ array(['for'], dtype=object) array(['15', 'years'], dtype=object)
+ array(['professionally'], dtype=object)
+ array(['twice', 'as', 'long'], dtype=object) array(['as'], dtype=object)
+ array(['that'], dtype=object) array(['for'], dtype=object)
+ array(['themselves'], dtype=object) array(['They'], dtype=object)
+ array([""'re"", 'playing'], dtype=object)
+ array(['proficient', 'piano'], dtype=object)
+ array(['face-to-face'], dtype=object) array(['on'], dtype=object)
+ array(['twin', 'pianos'], dtype=object)]",['twin' 'pianos'],['NP' 'ADVP' 'SBAR' 'VP'],0
+"The implication that if a congressman calls about a project in his district there 's something wrong , I think is most unfortunate . ''","[array(['The', 'implication'], dtype=object) array(['that'], dtype=object)
+ array(['if'], dtype=object) array(['a', 'congressman'], dtype=object)
+ array(['calls'], dtype=object) array(['about'], dtype=object)
+ array(['a', 'project'], dtype=object) array(['in'], dtype=object)
+ array(['his', 'district'], dtype=object) array(['there'], dtype=object)
+ array([""'s""], dtype=object) array(['something'], dtype=object)
+ array(['wrong'], dtype=object) array(['I'], dtype=object)
+ array(['think'], dtype=object) array(['is'], dtype=object)
+ array(['most', 'unfortunate'], dtype=object)]",['there'],['NP' 'ADVP' 'SBAR' 'VP'],0
+The Hun Sen regime has sent thousands of conscript laborers to die of malaria and malnourishment while building Cambodia 's equivalent of the Berlin Wall near the Thai border .,"[array(['The', 'Hun', 'Sen', 'regime'], dtype=object)
+ array(['has', 'sent'], dtype=object) array(['thousands'], dtype=object)
+ array(['of'], dtype=object)
+ array(['conscript', 'laborers'], dtype=object)
+ array(['to', 'die'], dtype=object) array(['of'], dtype=object)
+ array(['malaria', 'and', 'malnourishment'], dtype=object)
+ array(['while'], dtype=object) array(['building'], dtype=object)
+ array(['Cambodia'], dtype=object)
+ array([""'s"", 'equivalent'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Berlin', 'Wall'], dtype=object)
+ array(['near'], dtype=object)
+ array(['the', 'Thai', 'border'], dtype=object)]",['of'],['PP' 'NP' 'ADJP' 'VP'],0
+The latest quarter includes a $ 42.7 million addition to loan-loss reserves .,"[array(['The', 'latest', 'quarter'], dtype=object)
+ array(['includes'], dtype=object)
+ array(['a', '$', '42.7', 'million', 'addition'], dtype=object)
+ array(['to'], dtype=object)
+ array(['loan-loss', 'reserves'], dtype=object)]",['to'],['PP' 'VP' 'SBAR' 'NP'],0
+"`` If you 're going to be consistent and say it is a constitutionally protected right , '' he asks , `` how are you going to say an upscale woman who can drive to the hospital or clinic in a nice car has a constitutional right and someone who is not in great shape financially does not ? ''","[array(['If'], dtype=object) array(['you'], dtype=object)
+ array([""'re"", 'going', 'to', 'be'], dtype=object)
+ array(['consistent'], dtype=object) array(['say'], dtype=object)
+ array(['it'], dtype=object) array(['is'], dtype=object)
+ array(['a', 'constitutionally', 'protected', 'right'], dtype=object)
+ array(['he'], dtype=object) array(['asks'], dtype=object)
+ array(['how'], dtype=object) array(['you'], dtype=object)
+ array(['going', 'to', 'say'], dtype=object)
+ array(['an', 'upscale', 'woman'], dtype=object)
+ array(['who'], dtype=object) array(['can', 'drive'], dtype=object)
+ array(['to'], dtype=object)
+ array(['the', 'hospital', 'or', 'clinic'], dtype=object)
+ array(['in'], dtype=object) array(['a', 'nice', 'car'], dtype=object)
+ array(['has'], dtype=object)
+ array(['a', 'constitutional', 'right'], dtype=object)
+ array(['someone'], dtype=object) array(['who'], dtype=object)
+ array(['is'], dtype=object) array(['in'], dtype=object)
+ array(['great', 'shape'], dtype=object)
+ array(['financially'], dtype=object) array(['does'], dtype=object)]",['you'],['NP' 'VP' 'PP' 'ADVP'],0
+"Mitsubishi Rayon , a leading advancer Wednesday , fell 44 to 861 as investors grabbed profits .","[array(['Mitsubishi', 'Rayon'], dtype=object)
+ array(['a', 'leading', 'advancer'], dtype=object)
+ array(['Wednesday'], dtype=object) array(['fell'], dtype=object)
+ array(['44'], dtype=object) array(['to'], dtype=object)
+ array(['861'], dtype=object) array(['as'], dtype=object)
+ array(['investors'], dtype=object) array(['grabbed'], dtype=object)
+ array(['profits'], dtype=object)]",['fell'],['VP' 'ADVP' 'NP' 'PP'],0
+"However , last week Mr. Webster 's two top CIA deputies said congressional curbs had n't hampered the spy agency 's role in the coup attempt in Panama .","[array(['However'], dtype=object) array(['last', 'week'], dtype=object)
+ array(['Mr.', 'Webster'], dtype=object)
+ array([""'s"", 'two', 'top', 'CIA', 'deputies'], dtype=object)
+ array(['said'], dtype=object)
+ array(['congressional', 'curbs'], dtype=object)
+ array(['had', ""n't"", 'hampered'], dtype=object)
+ array(['the', 'spy', 'agency'], dtype=object)
+ array([""'s"", 'role'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'coup', 'attempt'], dtype=object)
+ array(['in'], dtype=object) array(['Panama'], dtype=object)]",['the' 'spy' 'agency'],['NP' 'PP' 'VP' 'ADVP'],0
+"For the quarter , BankAmerica said it earned $ 254 million , or $ 1.16 a share , compared with $ 190 million , or 97 cents a share , a year earlier .","[array(['For'], dtype=object) array(['the', 'quarter'], dtype=object)
+ array(['BankAmerica'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object) array(['earned'], dtype=object)
+ array(['$', '254', 'million'], dtype=object)
+ array(['$', '1.16'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['compared'], dtype=object) array(['with'], dtype=object)
+ array(['$', '190', 'million'], dtype=object)
+ array(['97', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['earlier'], dtype=object)]",['BankAmerica'],['NP' 'PP' 'SBAR' 'VP'],0
+Pressure came from several developments including the settlement of two long-term strikes .,"[array(['Pressure'], dtype=object) array(['came'], dtype=object)
+ array(['from'], dtype=object)
+ array(['several', 'developments'], dtype=object)
+ array(['including'], dtype=object)
+ array(['the', 'settlement'], dtype=object) array(['of'], dtype=object)
+ array(['two', 'long-term', 'strikes'], dtype=object)]",['several' 'developments'],['NP' 'PP' 'VP' 'ADJP'],0
+"With the $ 3 million received from investors , he took frequent junkets with friends to exotic locales and leased an expensive BMW for his girlfriend , whom he met at the shop where he got his custom-tailored suits .","[array(['With'], dtype=object)
+ array(['the', '$', '3', 'million'], dtype=object)
+ array(['received'], dtype=object) array(['from'], dtype=object)
+ array(['investors'], dtype=object) array(['he'], dtype=object)
+ array(['took'], dtype=object)
+ array(['frequent', 'junkets'], dtype=object)
+ array(['with'], dtype=object) array(['friends'], dtype=object)
+ array(['to'], dtype=object) array(['exotic', 'locales'], dtype=object)
+ array(['leased'], dtype=object)
+ array(['an', 'expensive', 'BMW'], dtype=object)
+ array(['for'], dtype=object) array(['his', 'girlfriend'], dtype=object)
+ array(['whom'], dtype=object) array(['he'], dtype=object)
+ array(['met'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'shop'], dtype=object) array(['where'], dtype=object)
+ array(['he'], dtype=object) array(['got'], dtype=object)
+ array(['his', 'custom-tailored', 'suits'], dtype=object)]",['the' '$' '3' 'million'],['NP' 'SBAR' 'PP' 'VP'],0
+"This ballpark , the Stick , was not a classic baseball stadium -- too symmetrical , too much bald concrete .","[array(['This', 'ballpark'], dtype=object)
+ array(['the', 'Stick'], dtype=object) array(['was'], dtype=object)
+ array(['a', 'classic', 'baseball', 'stadium'], dtype=object)
+ array(['too', 'symmetrical'], dtype=object)
+ array(['too', 'much', 'bald', 'concrete'], dtype=object)]",['was'],['VP' 'SBAR' 'NP' 'PP'],0
+"For their part , the group of Democrats are working on a plan that , like the Packwood proposal , would grant larger exclusions to assets the longer they were held by individuals and companies .","[array(['For'], dtype=object) array(['their', 'part'], dtype=object)
+ array(['the', 'group'], dtype=object) array(['of'], dtype=object)
+ array(['Democrats'], dtype=object)
+ array(['are', 'working'], dtype=object) array(['on'], dtype=object)
+ array(['a', 'plan'], dtype=object) array(['that'], dtype=object)
+ array(['like'], dtype=object)
+ array(['the', 'Packwood', 'proposal'], dtype=object)
+ array(['would', 'grant'], dtype=object)
+ array(['larger', 'exclusions'], dtype=object) array(['to'], dtype=object)
+ array(['assets'], dtype=object) array(['the', 'longer'], dtype=object)
+ array(['they'], dtype=object) array(['were', 'held'], dtype=object)
+ array(['by'], dtype=object)
+ array(['individuals', 'and', 'companies'], dtype=object)]",['by'],['PP' 'NP' 'ADVP' 'ADJP'],0
+"Harley-Davidson Inc. filed suit in federal court here , alleging that a group that holds 6.2 % of its stock made `` false , deceptive and misleading '' statements in recent regulatory filings and public announcements .","[array(['Harley-Davidson', 'Inc.'], dtype=object)
+ array(['filed'], dtype=object) array(['suit'], dtype=object)
+ array(['in'], dtype=object) array(['federal', 'court'], dtype=object)
+ array(['here'], dtype=object) array(['alleging'], dtype=object)
+ array(['that'], dtype=object) array(['a', 'group'], dtype=object)
+ array(['that'], dtype=object) array(['holds'], dtype=object)
+ array(['6.2', '%'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'stock'], dtype=object) array(['made'], dtype=object)
+ array(['``', 'false', ',', 'deceptive', 'and', 'misleading', ""''"",
+        'statements'], dtype=object)
+ array(['in'], dtype=object)
+ array(['recent', 'regulatory', 'filings', 'and', 'public',
+        'announcements'], dtype=object)                    ]",['that'],['NP' 'ADJP' 'PP' 'VP'],0
+"Profit of steel shipped for the company 's steel segment slid to $ 26 a ton , from $ 66 a ton a year earlier and $ 57 a ton a quarter earlier .","[array(['Profit'], dtype=object) array(['of'], dtype=object)
+ array(['steel'], dtype=object) array(['shipped'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'company'], dtype=object)
+ array([""'s"", 'steel', 'segment'], dtype=object)
+ array(['slid'], dtype=object) array(['to'], dtype=object)
+ array(['$', '26'], dtype=object) array(['a', 'ton'], dtype=object)
+ array(['from'], dtype=object) array(['$', '66'], dtype=object)
+ array(['a', 'ton'], dtype=object) array(['a', 'year'], dtype=object)
+ array(['earlier'], dtype=object) array(['$', '57'], dtype=object)
+ array(['a', 'ton'], dtype=object) array(['a', 'quarter'], dtype=object)
+ array(['earlier'], dtype=object)]",['a' 'quarter'],['NP' 'ADVP' 'PP' 'VP'],0
+The resolution also comes at a time when Turkey has been seeking help from the United States in resolving its Bulgarian emigration controversy and pursuing democratic reforms that may lead to membership in the European Community .,"[array(['The', 'resolution'], dtype=object) array(['also'], dtype=object)
+ array(['comes'], dtype=object) array(['at'], dtype=object)
+ array(['a', 'time'], dtype=object) array(['when'], dtype=object)
+ array(['Turkey'], dtype=object)
+ array(['has', 'been', 'seeking'], dtype=object)
+ array(['help'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'United', 'States'], dtype=object)
+ array(['in'], dtype=object) array(['resolving'], dtype=object)
+ array(['its', 'Bulgarian', 'emigration', 'controversy'], dtype=object)
+ array(['pursuing'], dtype=object)
+ array(['democratic', 'reforms'], dtype=object)
+ array(['that'], dtype=object) array(['may', 'lead'], dtype=object)
+ array(['to'], dtype=object) array(['membership'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'European', 'Community'], dtype=object)]",['pursuing'],['VP' 'PP' 'ADJP' 'NP'],0
+"BankAmerica Corp. reported a 34 % jump in third-quarter earnings , as its rocket-like recovery from nearly ruinous losses several years ago continued to be fueled by growth in consumer loans , higher interest margins and negligible loan losses .","[array(['BankAmerica', 'Corp.'], dtype=object)
+ array(['reported'], dtype=object)
+ array(['a', '34', '%', 'jump'], dtype=object) array(['in'], dtype=object)
+ array(['third-quarter', 'earnings'], dtype=object)
+ array(['as'], dtype=object)
+ array(['its', 'rocket-like', 'recovery'], dtype=object)
+ array(['from'], dtype=object)
+ array(['nearly', 'ruinous', 'losses'], dtype=object)
+ array(['several', 'years'], dtype=object) array(['ago'], dtype=object)
+ array(['continued', 'to', 'be', 'fueled'], dtype=object)
+ array(['by'], dtype=object) array(['growth'], dtype=object)
+ array(['in'], dtype=object) array(['consumer', 'loans'], dtype=object)
+ array(['higher', 'interest', 'margins'], dtype=object)
+ array(['negligible', 'loan', 'losses'], dtype=object)]",['by'],['PP' 'NP' 'VP' 'ADVP'],0
+There are all sorts of ways to give buy and sell instructions to a broker -- and just as many ways to get burned if you do n't know what you 're doing .,"[array(['There'], dtype=object) array(['are'], dtype=object)
+ array(['all', 'sorts'], dtype=object) array(['of'], dtype=object)
+ array(['ways'], dtype=object) array(['to', 'give'], dtype=object)
+ array(['buy', 'and', 'sell', 'instructions'], dtype=object)
+ array(['to'], dtype=object) array(['a', 'broker'], dtype=object)
+ array(['just', 'as', 'many', 'ways'], dtype=object)
+ array(['to', 'get', 'burned'], dtype=object) array(['if'], dtype=object)
+ array(['you'], dtype=object) array(['do', ""n't"", 'know'], dtype=object)
+ array(['what'], dtype=object) array(['you'], dtype=object)
+ array([""'re"", 'doing'], dtype=object)]",['to' 'get' 'burned'],['VP' 'NP' 'SBAR' 'PP'],0
+"Those investments paid big commissions to First Meridian , payments investors were never told about , the attorney general alleged .","[array(['Those', 'investments'], dtype=object)
+ array(['paid'], dtype=object) array(['big', 'commissions'], dtype=object)
+ array(['to'], dtype=object) array(['First', 'Meridian'], dtype=object)
+ array(['payments'], dtype=object) array(['investors'], dtype=object)
+ array(['were', 'never', 'told'], dtype=object)
+ array(['about'], dtype=object)
+ array(['the', 'attorney', 'general'], dtype=object)
+ array(['alleged'], dtype=object)]",['investors'],['NP' 'PP' 'SBAR' 'VP'],0
+"He added that the Office of Management and Budget , the Transportation Department and other agencies are `` developing longer-term legislation '' that should be ready soon .","[array(['He'], dtype=object) array(['added'], dtype=object)
+ array(['that'], dtype=object) array(['the', 'Office'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Management', 'and', 'Budget'], dtype=object)
+ array(['the', 'Transportation', 'Department'], dtype=object)
+ array(['other', 'agencies'], dtype=object) array(['are'], dtype=object)
+ array(['developing'], dtype=object)
+ array(['longer-term', 'legislation'], dtype=object)
+ array(['that'], dtype=object) array(['should', 'be'], dtype=object)
+ array(['ready'], dtype=object) array(['soon'], dtype=object)]",['that'],['SBAR' 'VP' 'NP' 'PP'],0
+"A year ago , Viacom had a net loss of $ 56.9 million , or $ 1.07 a share .","[array(['A', 'year'], dtype=object) array(['ago'], dtype=object)
+ array(['Viacom'], dtype=object) array(['had'], dtype=object)
+ array(['a', 'net', 'loss'], dtype=object) array(['of'], dtype=object)
+ array(['$', '56.9', 'million'], dtype=object)
+ array(['$', '1.07'], dtype=object) array(['a', 'share'], dtype=object)]",['A' 'year'],['NP' 'VP' 'PP' 'ADVP'],0
+They 're small time in the small time-hotels -LRB- not the best ones -RRB- and restaurants in Seattle .,"[array(['They'], dtype=object) array([""'re""], dtype=object)
+ array(['small', 'time'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'small', 'time-hotels'], dtype=object)
+ array(['the', 'best', 'ones'], dtype=object)
+ array(['restaurants'], dtype=object) array(['in'], dtype=object)
+ array(['Seattle'], dtype=object)]",['the' 'small' 'time-hotels'],['NP' 'VP' 'ADVP' 'SBAR'],0
+"Though it collects such data daily , its monthly reports on program trading usually come out about three weeks after each month ends .","[array(['Though'], dtype=object) array(['it'], dtype=object)
+ array(['collects'], dtype=object) array(['such', 'data'], dtype=object)
+ array(['daily'], dtype=object)
+ array(['its', 'monthly', 'reports'], dtype=object)
+ array(['on'], dtype=object) array(['program', 'trading'], dtype=object)
+ array(['usually'], dtype=object) array(['come'], dtype=object)
+ array(['out'], dtype=object)
+ array(['about', 'three', 'weeks'], dtype=object)
+ array(['after'], dtype=object) array(['each', 'month'], dtype=object)
+ array(['ends'], dtype=object)]",['usually'],['ADVP' 'PP' 'NP' 'VP'],0
+People may be particularly vulnerable to flim-flam pitches when they are in the midst of a major upheaval in their lives .,"[array(['People'], dtype=object) array(['may', 'be'], dtype=object)
+ array(['particularly', 'vulnerable'], dtype=object)
+ array(['to'], dtype=object) array(['flim-flam', 'pitches'], dtype=object)
+ array(['when'], dtype=object) array(['they'], dtype=object)
+ array(['are'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'midst'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'major', 'upheaval'], dtype=object)
+ array(['in'], dtype=object) array(['their', 'lives'], dtype=object)]",['when'],['ADVP' 'NP' 'VP' 'PP'],0
+"Activity was brisk in the high-grade general obligation market , as a series of sell lists hit the Street and capped upward price movement in the sector .","[array(['Activity'], dtype=object) array(['was'], dtype=object)
+ array(['brisk'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'high-grade', 'general', 'obligation', 'market'],
+       dtype=object)
+ array(['as'], dtype=object) array(['a', 'series'], dtype=object)
+ array(['of'], dtype=object) array(['sell', 'lists'], dtype=object)
+ array(['hit'], dtype=object) array(['the', 'Street'], dtype=object)
+ array(['capped'], dtype=object)
+ array(['upward', 'price', 'movement'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'sector'], dtype=object)]",['the' 'sector'],['NP' 'ADVP' 'VP' 'PP'],0
+"For fiscal 1988 , Ashland had net of $ 224 million , or $ 4.01 a share , on revenue of $ 7.8 billion .","[array(['For'], dtype=object) array(['fiscal', '1988'], dtype=object)
+ array(['Ashland'], dtype=object) array(['had'], dtype=object)
+ array(['net'], dtype=object) array(['of'], dtype=object)
+ array(['$', '224', 'million'], dtype=object)
+ array(['$', '4.01'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['on'], dtype=object) array(['revenue'], dtype=object)
+ array(['of'], dtype=object) array(['$', '7.8', 'billion'], dtype=object)]",['$' '224' 'million'],['NP' 'PP' 'SBAR' 'PRT'],0
+"In national over-the-counter trading Friday , SciMed shares tumbled $ 2.75 to $ 43 .","[array(['In'], dtype=object)
+ array(['national', 'over-the-counter', 'trading'], dtype=object)
+ array(['Friday'], dtype=object) array(['SciMed', 'shares'], dtype=object)
+ array(['tumbled'], dtype=object) array(['$', '2.75'], dtype=object)
+ array(['to'], dtype=object) array(['$', '43'], dtype=object)]",['$' '43'],['NP' 'VP' 'ADVP' 'PP'],0
+"Now , says Mr. Biehl , value investing often means `` looking for downtrodden companies with terrible management that are in real trouble . ''","[array(['Now'], dtype=object) array(['says'], dtype=object)
+ array(['Mr.', 'Biehl'], dtype=object)
+ array(['value', 'investing'], dtype=object)
+ array(['often'], dtype=object) array(['means'], dtype=object)
+ array(['looking'], dtype=object) array(['for'], dtype=object)
+ array(['downtrodden', 'companies'], dtype=object)
+ array(['with'], dtype=object)
+ array(['terrible', 'management'], dtype=object)
+ array(['that'], dtype=object) array(['are'], dtype=object)
+ array(['in'], dtype=object) array(['real', 'trouble'], dtype=object)]",['terrible' 'management'],['NP' 'VP' 'ADVP' 'PRT'],0
+"The Roth plan would create a new , non-deductible IRA from which money could be withdrawn tax-free not only for retirement , but also for the purchase of a first home and to pay education and medical expenses .","[array(['The', 'Roth', 'plan'], dtype=object)
+ array(['would', 'create'], dtype=object)
+ array(['a', 'new', ',', 'non-deductible', 'IRA'], dtype=object)
+ array(['from'], dtype=object) array(['which'], dtype=object)
+ array(['money'], dtype=object)
+ array(['could', 'be', 'withdrawn'], dtype=object)
+ array(['tax-free'], dtype=object) array(['not'], dtype=object)
+ array(['for'], dtype=object) array(['retirement'], dtype=object)
+ array(['but', 'also'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'purchase'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'first', 'home'], dtype=object)
+ array(['to', 'pay'], dtype=object)
+ array(['education', 'and', 'medical', 'expenses'], dtype=object)]",['The' 'Roth' 'plan'],['NP' 'PP' 'ADJP' 'VP'],0
+"Because fresh eggs are less expensive than processed ones , a big egg user can recover the Egg King 's $ 3,390 cost in a few months , says Mr. Maynard .","[array(['Because'], dtype=object) array(['fresh', 'eggs'], dtype=object)
+ array(['are'], dtype=object) array(['less', 'expensive'], dtype=object)
+ array(['than'], dtype=object) array(['processed', 'ones'], dtype=object)
+ array(['a', 'big', 'egg', 'user'], dtype=object)
+ array(['can', 'recover'], dtype=object)
+ array(['the', 'Egg', 'King'], dtype=object) array([""'s""], dtype=object)
+ array(['$'], dtype=object) array(['cost'], dtype=object)
+ array(['in'], dtype=object) array(['a', 'few', 'months'], dtype=object)
+ array(['says'], dtype=object) array(['Mr.', 'Maynard'], dtype=object)]",['are'],['VP' 'LST' 'PP' 'NP'],0
+"While under the control of federal regulators , Independent American 's net worth dropped from $ 75 million to a negative $ 400 million , wiping out the value of Mr. Gaubert 's real estate contribution and his stock in the institution .","[array(['While'], dtype=object) array(['under'], dtype=object)
+ array(['the', 'control'], dtype=object) array(['of'], dtype=object)
+ array(['federal', 'regulators'], dtype=object)
+ array(['Independent', 'American'], dtype=object)
+ array([""'s"", 'net', 'worth'], dtype=object)
+ array(['dropped'], dtype=object) array(['from'], dtype=object)
+ array(['$', '75', 'million'], dtype=object) array(['to'], dtype=object)
+ array(['a', 'negative', '$', '400', 'million'], dtype=object)
+ array(['wiping'], dtype=object) array(['out'], dtype=object)
+ array(['the', 'value'], dtype=object) array(['of'], dtype=object)
+ array(['Mr.', 'Gaubert'], dtype=object)
+ array([""'s"", 'real', 'estate', 'contribution'], dtype=object)
+ array(['his', 'stock'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'institution'], dtype=object)]",['wiping'],['VP' 'NP' 'ADJP' 'SBAR'],0
+"Workers could dial out , but they could n't receive telephone calls .","[array(['Workers'], dtype=object) array(['could', 'dial'], dtype=object)
+ array(['out'], dtype=object) array(['they'], dtype=object)
+ array(['could', ""n't"", 'receive'], dtype=object)
+ array(['telephone', 'calls'], dtype=object)]",['could' 'dial'],['VP' 'ADJP' 'PP' 'NP'],0
+"The Camden County congressman still carries himself with a trademark `` I'm-coming-down-your-throat '' intensity , but at a pause in Newark 's Columbus Day parade recently , he was dancing with his wife in the middle of the avenue in the city 's old Italian-American ward .","[array(['The', 'Camden', 'County', 'congressman'], dtype=object)
+ array(['still'], dtype=object) array(['carries'], dtype=object)
+ array(['himself'], dtype=object) array(['with'], dtype=object)
+ array(['a', 'trademark', '``', ""I'm-coming-down-your-throat"", ""''"",
+        'intensity'], dtype=object)
+ array(['at'], dtype=object) array(['a', 'pause'], dtype=object)
+ array(['in'], dtype=object) array(['Newark'], dtype=object)
+ array([""'s"", 'Columbus', 'Day', 'parade'], dtype=object)
+ array(['recently'], dtype=object) array(['he'], dtype=object)
+ array(['was', 'dancing'], dtype=object) array(['with'], dtype=object)
+ array(['his', 'wife'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'middle'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'avenue'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'city'], dtype=object)
+ array([""'s"", 'old', 'Italian-American', 'ward'], dtype=object)]",['in'],['PP' 'SBAR' 'ADVP' 'NP'],0
+That brought a chain reaction in the industry .,"[array(['That'], dtype=object) array(['brought'], dtype=object)
+ array(['a', 'chain', 'reaction'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'industry'], dtype=object)]",['in'],['PP' 'NP' 'SBAR' 'VP'],0
+"`` It would be difficult to see how a car company can be owned by a collective , '' Sir John said .","[array(['It'], dtype=object) array(['would', 'be'], dtype=object)
+ array(['difficult'], dtype=object) array(['to', 'see'], dtype=object)
+ array(['how'], dtype=object) array(['a', 'car', 'company'], dtype=object)
+ array(['can', 'be', 'owned'], dtype=object) array(['by'], dtype=object)
+ array(['a', 'collective'], dtype=object)
+ array(['Sir', 'John'], dtype=object) array(['said'], dtype=object)]",['would' 'be'],['VP' 'PP' 'NP' 'ADJP'],0
+"GE , along with a division of Ebasco , a subsidiary of Enserch Corp. , have been building the first 250-megawatt phase of the project , which they expect to complete in late 1990 .","[array(['GE'], dtype=object) array(['along'], dtype=object)
+ array(['with'], dtype=object) array(['a', 'division'], dtype=object)
+ array(['of'], dtype=object) array(['Ebasco'], dtype=object)
+ array(['a', 'subsidiary'], dtype=object) array(['of'], dtype=object)
+ array(['Enserch', 'Corp.'], dtype=object)
+ array(['have', 'been', 'building'], dtype=object)
+ array(['the', 'first', '250-megawatt', 'phase'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'project'], dtype=object)
+ array(['which'], dtype=object) array(['they'], dtype=object)
+ array(['expect', 'to', 'complete'], dtype=object)
+ array(['in'], dtype=object) array(['late', '1990'], dtype=object)]",['have' 'been' 'building'],['VP' 'PP' 'ADVP' 'NP'],0
+The flamboyant and publicity-conscious Mr. Belli says he already has investigators looking into who could be held liable for the damage on the Bay Bridge and the interstate approaching it .,"[array(['The', 'flamboyant', 'and', 'publicity-conscious', 'Mr.', 'Belli'],
+       dtype=object)
+ array(['says'], dtype=object) array(['he'], dtype=object)
+ array(['already'], dtype=object) array(['has'], dtype=object)
+ array(['investigators'], dtype=object) array(['looking'], dtype=object)
+ array(['into'], dtype=object) array(['who'], dtype=object)
+ array(['could', 'be', 'held'], dtype=object)
+ array(['liable'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'damage'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'Bay', 'Bridge'], dtype=object)
+ array(['the', 'interstate'], dtype=object)
+ array(['approaching'], dtype=object) array(['it'], dtype=object)]",['already'],['ADVP' 'NP' 'PP' 'ADJP'],0
+Mr. Gross said he had hoped that a cost savings of $ 450 million would result in even greater growth than the 20 % annual earnings increase AT&T has told analysts it expects in the future .,"[array(['Mr.', 'Gross'], dtype=object) array(['said'], dtype=object)
+ array(['he'], dtype=object) array(['had', 'hoped'], dtype=object)
+ array(['that'], dtype=object)
+ array(['a', 'cost', 'savings'], dtype=object) array(['of'], dtype=object)
+ array(['$', '450', 'million'], dtype=object)
+ array(['would', 'result'], dtype=object) array(['in'], dtype=object)
+ array(['even', 'greater', 'growth'], dtype=object)
+ array(['than'], dtype=object)
+ array(['the', '20', '%', 'annual', 'earnings', 'increase'], dtype=object)
+ array(['AT&T'], dtype=object) array(['has', 'told'], dtype=object)
+ array(['analysts'], dtype=object) array(['it'], dtype=object)
+ array(['expects'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'future'], dtype=object)]",['the' '20' '%' 'annual' 'earnings' 'increase'],['NP' 'PP' 'ADJP' 'VP'],0
+"The 235 general-purpose funds increased $ 2.53 billion to $ 116.56 billion , while 96 broker-dealer funds increased $ 1.3 billion to $ 154.05 billion .","[array(['The', '235', 'general-purpose', 'funds'], dtype=object)
+ array(['increased'], dtype=object)
+ array(['$', '2.53', 'billion'], dtype=object) array(['to'], dtype=object)
+ array(['$', '116.56', 'billion'], dtype=object)
+ array(['while'], dtype=object)
+ array(['96', 'broker-dealer', 'funds'], dtype=object)
+ array(['increased'], dtype=object)
+ array(['$', '1.3', 'billion'], dtype=object) array(['to'], dtype=object)
+ array(['$', '154.05', 'billion'], dtype=object)]",['$' '1.3' 'billion'],['NP' 'SBAR' 'PP' 'VP'],0
+"In July a year later , Warner agreed to release the producers from their old contract when Messrs. Guber , Peters and Sugarman made a $ 100 million offer to buy 25 % of MGM\/UA .","[array(['In'], dtype=object) array(['July'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['later'], dtype=object)
+ array(['Warner'], dtype=object)
+ array(['agreed', 'to', 'release'], dtype=object)
+ array(['the', 'producers'], dtype=object) array(['from'], dtype=object)
+ array(['their', 'old', 'contract'], dtype=object)
+ array(['when'], dtype=object)
+ array(['Messrs.', 'Guber', ',', 'Peters', 'and', 'Sugarman'], dtype=object)
+ array(['made'], dtype=object)
+ array(['a', '$', '100', 'million', 'offer'], dtype=object)
+ array(['to', 'buy'], dtype=object) array(['25', '%'], dtype=object)
+ array(['of'], dtype=object) array(['MGM\\/UA'], dtype=object)]",['In'],['PP' 'NP' 'ADVP' 'VP'],0
+"The pilot union , the only one to support the buy-out thus far , said the flight attendants ' decision `` enforces our belief that an all-employee owned airline is practical and achievable . ''","[array(['The', 'pilot', 'union'], dtype=object)
+ array(['the', 'only', 'one'], dtype=object)
+ array(['to', 'support'], dtype=object)
+ array(['the', 'buy-out'], dtype=object)
+ array(['thus', 'far'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'flight', 'attendants'], dtype=object)
+ array([""'"", 'decision'], dtype=object) array(['enforces'], dtype=object)
+ array(['our', 'belief'], dtype=object) array(['that'], dtype=object)
+ array(['an', 'all-employee', 'owned', 'airline'], dtype=object)
+ array(['is'], dtype=object)
+ array(['practical', 'and', 'achievable'], dtype=object)]",['thus' 'far'],['ADVP' 'VP' 'PP' 'NP'],0
+"In the Treasury market , the benchmark 30-year bond rose seven-eighths point , or $ 8.75 for each $ 1,000 face amount .","[array(['In'], dtype=object)
+ array(['the', 'Treasury', 'market'], dtype=object)
+ array(['the', 'benchmark', '30-year', 'bond'], dtype=object)
+ array(['rose'], dtype=object)
+ array(['seven-eighths', 'point'], dtype=object)
+ array(['$', '8.75'], dtype=object) array(['for'], dtype=object)
+ array(['each', '$', '1,000', 'face', 'amount'], dtype=object)]",['In'],['PP' 'ADJP' 'NP' 'VP'],0
+"And National Advanced Systems , a joint venture of Japan 's Hitachi Ltd. and General Motors Corp. 's Electronic Data Systems , is expected to unveil a line of powerful IBM-compatible mainframes later this year .","[array(['National', 'Advanced', 'Systems'], dtype=object)
+ array(['a', 'joint', 'venture'], dtype=object)
+ array(['of'], dtype=object) array(['Japan'], dtype=object)
+ array([""'s"", 'Hitachi', 'Ltd.'], dtype=object)
+ array(['General', 'Motors', 'Corp.'], dtype=object)
+ array([""'s"", 'Electronic', 'Data', 'Systems'], dtype=object)
+ array(['is', 'expected', 'to', 'unveil'], dtype=object)
+ array(['a', 'line'], dtype=object) array(['of'], dtype=object)
+ array(['powerful', 'IBM-compatible', 'mainframes'], dtype=object)
+ array(['later', 'this', 'year'], dtype=object)]",['is' 'expected' 'to' 'unveil'],['VP' 'NP' 'PP' 'ADVP'],0
+"Between 1985 and 1988 , sales multipled more than 10 times and pretax profit surged almost twelvefold .","[array(['Between'], dtype=object)
+ array(['1985', 'and', '1988'], dtype=object)
+ array(['sales'], dtype=object) array(['multipled'], dtype=object)
+ array(['more', 'than', '10', 'times'], dtype=object)
+ array(['pretax', 'profit'], dtype=object) array(['surged'], dtype=object)
+ array(['almost', 'twelvefold'], dtype=object)]",['more' 'than' '10' 'times'],['ADVP' 'PP' 'VP' 'NP'],0
+"Last summer , the affiliates bitterly complained to network executives about the poor coverage of the student uprising in China .","[array(['Last', 'summer'], dtype=object)
+ array(['the', 'affiliates'], dtype=object)
+ array(['bitterly', 'complained'], dtype=object)
+ array(['to'], dtype=object)
+ array(['network', 'executives'], dtype=object)
+ array(['about'], dtype=object)
+ array(['the', 'poor', 'coverage'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'student', 'uprising'], dtype=object)
+ array(['in'], dtype=object) array(['China'], dtype=object)]",['of'],['PP' 'ADJP' 'VP' 'NP'],0
+"All major roadways except Interstate 880 , known as the Nimitz Freeway , and the Bay Bridge were open by 1 p.m. yesterday .","[array(['All', 'major', 'roadways'], dtype=object)
+ array(['except'], dtype=object)
+ array(['Interstate', '880'], dtype=object) array(['known'], dtype=object)
+ array(['as'], dtype=object)
+ array(['the', 'Nimitz', 'Freeway'], dtype=object)
+ array(['the', 'Bay', 'Bridge'], dtype=object)
+ array(['were'], dtype=object) array(['open'], dtype=object)
+ array(['by'], dtype=object) array(['1', 'p.m.'], dtype=object)
+ array(['yesterday'], dtype=object)]",['the' 'Nimitz' 'Freeway'],['NP' 'VP' 'SBAR' 'PP'],0
+"Other projects look for offenders among waiters who get cash tips , people who engage in large cash transactions , and people whose returns show they sold a home for a profit without reinvesting the capital gain in another home by the end of the same year ; the gain must be rolled over within two years to defer tax .","[array(['Other', 'projects'], dtype=object) array(['look'], dtype=object)
+ array(['for'], dtype=object) array(['offenders'], dtype=object)
+ array(['among'], dtype=object) array(['waiters'], dtype=object)
+ array(['who'], dtype=object) array(['get'], dtype=object)
+ array(['cash', 'tips'], dtype=object) array(['people'], dtype=object)
+ array(['who'], dtype=object) array(['engage'], dtype=object)
+ array(['in'], dtype=object)
+ array(['large', 'cash', 'transactions'], dtype=object)
+ array(['people'], dtype=object) array(['whose', 'returns'], dtype=object)
+ array(['show'], dtype=object) array(['they'], dtype=object)
+ array(['sold'], dtype=object) array(['a', 'home'], dtype=object)
+ array(['for'], dtype=object) array(['a', 'profit'], dtype=object)
+ array(['without'], dtype=object) array(['reinvesting'], dtype=object)
+ array(['the', 'capital', 'gain'], dtype=object)
+ array(['in'], dtype=object) array(['another', 'home'], dtype=object)
+ array(['by'], dtype=object) array(['the', 'end'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'same', 'year'], dtype=object)
+ array(['the', 'gain'], dtype=object)
+ array(['must', 'be', 'rolled'], dtype=object)
+ array(['over'], dtype=object) array(['within'], dtype=object)
+ array(['two', 'years'], dtype=object)
+ array(['to', 'defer'], dtype=object) array(['tax'], dtype=object)]",['who'],['NP' 'VP' 'SBAR' 'PP'],0
+"Warner , in its court filings , calls it `` a piece of fiction created for this litigation . ''","[array(['Warner'], dtype=object) array(['in'], dtype=object)
+ array(['its', 'court', 'filings'], dtype=object)
+ array(['calls'], dtype=object) array(['it'], dtype=object)
+ array(['a', 'piece'], dtype=object) array(['of'], dtype=object)
+ array(['fiction'], dtype=object) array(['created'], dtype=object)
+ array(['for'], dtype=object) array(['this', 'litigation'], dtype=object)]",['in'],['PP' 'NP' 'ADJP' 'ADVP'],0
+Must it now accept that one of its strongest allies blames it for the genocide of another people ?,"[array(['it'], dtype=object) array(['now'], dtype=object)
+ array(['accept'], dtype=object) array(['that'], dtype=object)
+ array(['one'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'strongest', 'allies'], dtype=object)
+ array(['blames'], dtype=object) array(['it'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'genocide'], dtype=object)
+ array(['of'], dtype=object) array(['another', 'people'], dtype=object)]",['accept'],['VP' 'ADVP' 'ADJP' 'NP'],0
+"Among the brands for sale are Beefeater gin , the No. 2 imported gin in the U.S. , and Laphroaig single-malt whiskey .","[array(['Among'], dtype=object) array(['the', 'brands'], dtype=object)
+ array(['for'], dtype=object) array(['sale'], dtype=object)
+ array(['are'], dtype=object) array(['Beefeater', 'gin'], dtype=object)
+ array(['the', 'No.', '2', 'imported', 'gin'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'U.S.'], dtype=object)
+ array(['Laphroaig', 'single-malt', 'whiskey'], dtype=object)]",['in'],['PP' 'NP' 'VP' 'SBAR'],0
+"Never mind that First Gibraltar is one of the failed Texas thrifts taken over by outsiders -- in this case , an investor group headed by New York financier Ronald Perelman .","[array(['Never'], dtype=object) array(['mind'], dtype=object)
+ array(['that'], dtype=object) array(['First', 'Gibraltar'], dtype=object)
+ array(['is'], dtype=object) array(['one'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'failed', 'Texas', 'thrifts'], dtype=object)
+ array(['taken'], dtype=object) array(['over'], dtype=object)
+ array(['by'], dtype=object) array(['outsiders'], dtype=object)
+ array(['in'], dtype=object) array(['this', 'case'], dtype=object)
+ array(['an', 'investor', 'group'], dtype=object)
+ array(['headed'], dtype=object) array(['by'], dtype=object)
+ array(['New', 'York', 'financier', 'Ronald', 'Perelman'], dtype=object)]",['by'],['PP' 'VP' 'PRT' 'NP'],0
+"The results topped analysts ' expectations and the earnings growth of competitors , prompting traders to all but forget the product-launch delays that bogged down the company for much of the past two years .","[array(['The', 'results'], dtype=object) array(['topped'], dtype=object)
+ array(['analysts'], dtype=object)
+ array([""'"", 'expectations'], dtype=object)
+ array(['the', 'earnings', 'growth'], dtype=object)
+ array(['of'], dtype=object) array(['competitors'], dtype=object)
+ array(['prompting'], dtype=object) array(['traders'], dtype=object)
+ array(['to', 'all', 'but', 'forget'], dtype=object)
+ array(['the', 'product-launch', 'delays'], dtype=object)
+ array(['that'], dtype=object) array(['bogged'], dtype=object)
+ array(['down'], dtype=object) array(['the', 'company'], dtype=object)
+ array(['for'], dtype=object) array(['much'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'past', 'two', 'years'], dtype=object)]",['traders'],['NP' 'SBAR' 'PP' 'ADVP'],0
+There was a horrible smell of gas as I passed the Chevron refinery before crossing the Richmond-San Rafael Bridge .,"[array(['There'], dtype=object) array(['was'], dtype=object)
+ array(['a', 'horrible', 'smell'], dtype=object)
+ array(['of'], dtype=object) array(['gas'], dtype=object)
+ array(['as'], dtype=object) array(['I'], dtype=object)
+ array(['passed'], dtype=object)
+ array(['the', 'Chevron', 'refinery'], dtype=object)
+ array(['before'], dtype=object) array(['crossing'], dtype=object)
+ array(['the', 'Richmond-San', 'Rafael', 'Bridge'], dtype=object)]",['gas'],['NP' 'PP' 'ADJP' 'VP'],0
+"B.A.T Industries PLC may delay aspects of its defensive restructuring plan -- including the sale of its Saks Fifth Avenue and Marshall Field units -- in the wake of the current upheaval in financial markets , company officials said .","[array(['B.A.T', 'Industries', 'PLC'], dtype=object)
+ array(['may', 'delay'], dtype=object) array(['aspects'], dtype=object)
+ array(['of'], dtype=object)
+ array(['its', 'defensive', 'restructuring', 'plan'], dtype=object)
+ array(['including'], dtype=object) array(['the', 'sale'], dtype=object)
+ array(['of'], dtype=object)
+ array(['its', 'Saks', 'Fifth', 'Avenue', 'and', 'Marshall', 'Field',
+        'units'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'wake'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'current', 'upheaval'], dtype=object)
+ array(['in'], dtype=object) array(['financial', 'markets'], dtype=object)
+ array(['company', 'officials'], dtype=object)
+ array(['said'], dtype=object)]",['the' 'current' 'upheaval'],['VP' 'NP' 'PP' 'SBAR'],1
+That was seen as an advantage in lobbying airline employees and Washington regulators for approval of the contested takeover .,"[array(['That'], dtype=object) array(['was', 'seen'], dtype=object)
+ array(['as'], dtype=object) array(['an', 'advantage'], dtype=object)
+ array(['in'], dtype=object) array(['lobbying'], dtype=object)
+ array(['airline', 'employees'], dtype=object)
+ array(['Washington', 'regulators'], dtype=object)
+ array(['for'], dtype=object) array(['approval'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'contested', 'takeover'], dtype=object)]",['of'],['VP' 'PP' 'NP' 'SBAR'],1
+"A number of times they detected neutrons in one , sometimes two , of the three detectors , but only once during 411 hours of the experiment did they detect a neutron burst in all three detectors -- and they think that was a spurious event .","[array(['A', 'number'], dtype=object) array(['of'], dtype=object)
+ array(['times'], dtype=object) array(['they'], dtype=object)
+ array(['detected'], dtype=object) array(['neutrons'], dtype=object)
+ array(['in'], dtype=object) array(['one'], dtype=object)
+ array([',', 'sometimes'], dtype=object) array(['two'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'three', 'detectors'], dtype=object)
+ array(['only', 'once'], dtype=object) array(['during'], dtype=object)
+ array(['411', 'hours'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'experiment'], dtype=object) array(['they'], dtype=object)
+ array(['detect'], dtype=object)
+ array(['a', 'neutron', 'burst'], dtype=object)
+ array(['in'], dtype=object)
+ array(['all', 'three', 'detectors'], dtype=object)
+ array(['they'], dtype=object) array(['think'], dtype=object)
+ array(['that'], dtype=object) array(['was'], dtype=object)
+ array(['a', 'spurious', 'event'], dtype=object)]",['one'],['PP' 'NP' 'VP' 'ADVP'],1
+"Those rumors were confirmed after the end of trading yesterday when the U.S. Agriculture Department announced that the Soviets had bought 1.2 million metric tons of U.S. corn , bringing their U.S. corn purchases confirmed so far this month to about five million metric tons .","[array(['Those', 'rumors'], dtype=object)
+ array(['were', 'confirmed'], dtype=object) array(['after'], dtype=object)
+ array(['the', 'end'], dtype=object) array(['of'], dtype=object)
+ array(['trading'], dtype=object) array(['yesterday'], dtype=object)
+ array(['when'], dtype=object)
+ array(['the', 'U.S.', 'Agriculture', 'Department'], dtype=object)
+ array(['announced'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'Soviets'], dtype=object)
+ array(['had', 'bought'], dtype=object)
+ array(['1.2', 'million', 'metric', 'tons'], dtype=object)
+ array(['of'], dtype=object) array(['U.S.', 'corn'], dtype=object)
+ array(['bringing'], dtype=object)
+ array(['their', 'U.S.', 'corn', 'purchases'], dtype=object)
+ array(['confirmed'], dtype=object) array(['so', 'far'], dtype=object)
+ array(['this', 'month'], dtype=object) array(['to'], dtype=object)
+ array(['about', 'five', 'million', 'metric', 'tons'], dtype=object)]",['confirmed'],['ADVP' 'VP' 'NP' 'PP'],1
+"But despite the credit enhancements , despite the high ratings , some money managers still worry that a recession could wreak havoc on the underlying assets .","[array(['despite'], dtype=object)
+ array(['the', 'credit', 'enhancements'], dtype=object)
+ array(['despite'], dtype=object)
+ array(['the', 'high', 'ratings'], dtype=object)
+ array(['some', 'money', 'managers'], dtype=object)
+ array(['still'], dtype=object) array(['worry'], dtype=object)
+ array(['that'], dtype=object) array(['a', 'recession'], dtype=object)
+ array(['could', 'wreak'], dtype=object) array(['havoc'], dtype=object)
+ array(['on'], dtype=object)
+ array(['the', 'underlying', 'assets'], dtype=object)]",['that'],['VP' 'SBAR' 'NP' 'PP'],1
+"After five years of management turmoil , with four different studio heads , Columbia sorely needs a stable , savvy team to restore its credibility and get it back in the business of making hits .","[array(['After'], dtype=object) array(['five', 'years'], dtype=object)
+ array(['of'], dtype=object)
+ array(['management', 'turmoil'], dtype=object)
+ array(['with'], dtype=object)
+ array(['four', 'different', 'studio', 'heads'], dtype=object)
+ array(['Columbia'], dtype=object) array(['sorely'], dtype=object)
+ array(['needs'], dtype=object)
+ array(['a', 'stable', ',', 'savvy', 'team'], dtype=object)
+ array(['to', 'restore'], dtype=object)
+ array(['its', 'credibility'], dtype=object) array(['get'], dtype=object)
+ array(['it'], dtype=object) array(['back'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'business'], dtype=object)
+ array(['of'], dtype=object) array(['making'], dtype=object)
+ array(['hits'], dtype=object)]",['in'],['ADVP' 'PP' 'NP' 'VP'],1
+"Harry Manion , Mr. Sala 's attorney , says his client denies any wrongdoing and adds that the attorney general 's contentions about First Meridian 's business practices are incorrect .","[array(['Harry', 'Manion'], dtype=object)
+ array(['Mr.', 'Sala'], dtype=object)
+ array([""'s"", 'attorney'], dtype=object) array(['says'], dtype=object)
+ array(['his', 'client'], dtype=object) array(['denies'], dtype=object)
+ array(['any', 'wrongdoing'], dtype=object) array(['adds'], dtype=object)
+ array(['that'], dtype=object)
+ array(['the', 'attorney', 'general'], dtype=object)
+ array([""'s"", 'contentions'], dtype=object) array(['about'], dtype=object)
+ array(['First', 'Meridian'], dtype=object)
+ array([""'s"", 'business', 'practices'], dtype=object)
+ array(['are'], dtype=object) array(['incorrect'], dtype=object)]",['are'],['PP' 'VP' 'SBAR' 'NP'],1
+No one in the Senate is considering the capital-gains plan passed by the House .,"[array(['No', 'one'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'Senate'], dtype=object)
+ array(['is', 'considering'], dtype=object)
+ array(['the', 'capital-gains', 'plan'], dtype=object)
+ array(['passed'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'House'], dtype=object)]",['the' 'capital-gains' 'plan'],['PP' 'NP' 'VP' 'ADVP'],1
+"With fast-food outlets on every corner , he , like many , does n't think he has a choice in the price war : `` Our customers say that they wo n't go into a fast-food store unless they get a coupon . ''","[array(['With'], dtype=object)
+ array(['fast-food', 'outlets'], dtype=object) array(['on'], dtype=object)
+ array(['every', 'corner'], dtype=object) array(['he'], dtype=object)
+ array(['like'], dtype=object) array(['many'], dtype=object)
+ array(['does', ""n't"", 'think'], dtype=object) array(['he'], dtype=object)
+ array(['has'], dtype=object) array(['a', 'choice'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'price', 'war'], dtype=object)
+ array(['Our', 'customers'], dtype=object) array(['say'], dtype=object)
+ array(['that'], dtype=object) array(['they'], dtype=object)
+ array(['wo', ""n't"", 'go'], dtype=object) array(['into'], dtype=object)
+ array(['a', 'fast-food', 'store'], dtype=object)
+ array(['unless'], dtype=object) array(['they'], dtype=object)
+ array(['get'], dtype=object) array(['a', 'coupon'], dtype=object)]",['he'],['VP' 'NP' 'PP' 'SBAR'],1
+"Plain-vanilla funds have become so commonplace that fees they can charge have plunged to almost nothing , and in some cases are just that .","[array(['Plain-vanilla', 'funds'], dtype=object)
+ array(['have', 'become'], dtype=object)
+ array(['so', 'commonplace'], dtype=object) array(['that'], dtype=object)
+ array(['fees'], dtype=object) array(['they'], dtype=object)
+ array(['can', 'charge'], dtype=object)
+ array(['have', 'plunged'], dtype=object) array(['to'], dtype=object)
+ array(['almost', 'nothing'], dtype=object) array(['in'], dtype=object)
+ array(['some', 'cases'], dtype=object) array(['are'], dtype=object)
+ array(['just', 'that'], dtype=object)]",['almost' 'nothing'],['LST' 'NP' 'VP' 'PP'],1
+"For years , the canceled checks of a small number of well-known baseball players have been bought and sold .","[array(['For'], dtype=object) array(['years'], dtype=object)
+ array(['the', 'canceled', 'checks'], dtype=object)
+ array(['of'], dtype=object) array(['a', 'small', 'number'], dtype=object)
+ array(['of'], dtype=object)
+ array(['well-known', 'baseball', 'players'], dtype=object)
+ array(['have', 'been', 'bought', 'and', 'sold'], dtype=object)]",['of'],['ADVP' 'PP' 'VP' 'NP'],1
+"But Pemex 's courtship with private companies , and especially foreign ones , is controversial in a country where oil has been a symbol of national sovereignty since foreign oil holdings were nationalized in 1938 .","[array(['Pemex'], dtype=object) array([""'s"", 'courtship'], dtype=object)
+ array(['with'], dtype=object)
+ array(['private', 'companies'], dtype=object)
+ array(['especially'], dtype=object)
+ array(['foreign', 'ones'], dtype=object) array(['is'], dtype=object)
+ array(['controversial'], dtype=object) array(['in'], dtype=object)
+ array(['a', 'country'], dtype=object) array(['where'], dtype=object)
+ array(['oil'], dtype=object) array(['has', 'been'], dtype=object)
+ array(['a', 'symbol'], dtype=object) array(['of'], dtype=object)
+ array(['national', 'sovereignty'], dtype=object)
+ array(['since'], dtype=object)
+ array(['foreign', 'oil', 'holdings'], dtype=object)
+ array(['were', 'nationalized'], dtype=object) array(['in'], dtype=object)
+ array(['1938'], dtype=object)]",['has' 'been'],['NP' 'VP' 'ADVP' 'SBAR'],1
+But the compounded effects of `` seniors only '' taxes result in truly catastrophic marginal tax rates .,"[array(['the', 'compounded', 'effects'], dtype=object)
+ array(['of'], dtype=object)
+ array(['``', 'seniors', 'only', ""''"", 'taxes'], dtype=object)
+ array(['result'], dtype=object) array(['in'], dtype=object)
+ array(['truly', 'catastrophic', 'marginal', 'tax', 'rates'], dtype=object)]",['the' 'compounded' 'effects'],['PP' 'NP' 'VP' 'ADJP'],1
+"Just seven months earlier , they had signed a five-year exclusive contract to make movies for Warner Bros. for which they had just produced the smash hit `` Batman . ''","[array(['Just', 'seven', 'months'], dtype=object)
+ array(['earlier'], dtype=object) array(['they'], dtype=object)
+ array(['had', 'signed'], dtype=object)
+ array(['a', 'five-year', 'exclusive', 'contract'], dtype=object)
+ array(['to', 'make'], dtype=object) array(['movies'], dtype=object)
+ array(['for'], dtype=object) array(['Warner', 'Bros.'], dtype=object)
+ array(['for'], dtype=object) array(['which'], dtype=object)
+ array(['they'], dtype=object)
+ array(['had', 'just', 'produced'], dtype=object)
+ array(['the', 'smash', 'hit', '``', 'Batman'], dtype=object)]",['for'],['ADVP' 'PP' 'VP' 'NP'],1
+"It originates in a Bush administration decision not to antagonize the U.S. Congress and avoid , at all costs , being accused of meddling in the region .","[array(['It'], dtype=object) array(['originates'], dtype=object)
+ array(['in'], dtype=object)
+ array(['a', 'Bush', 'administration', 'decision'], dtype=object)
+ array(['to', 'antagonize'], dtype=object)
+ array(['the', 'U.S.', 'Congress'], dtype=object)
+ array(['avoid'], dtype=object) array(['at'], dtype=object)
+ array(['all', 'costs'], dtype=object)
+ array(['being', 'accused'], dtype=object) array(['of'], dtype=object)
+ array(['meddling'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'region'], dtype=object)]",['in'],['VP' 'PP' 'CONJP' 'NP'],1
+"`` Human nature being what it is , people do n't always follow instructions , '' says Jack Guzewich , chief of food protection for the New York state Health Department .","[array(['Human', 'nature'], dtype=object) array(['being'], dtype=object)
+ array(['what'], dtype=object) array(['it'], dtype=object)
+ array(['is'], dtype=object) array(['people'], dtype=object)
+ array(['do', ""n't"", 'always', 'follow'], dtype=object)
+ array(['instructions'], dtype=object) array(['says'], dtype=object)
+ array(['Jack', 'Guzewich'], dtype=object) array(['chief'], dtype=object)
+ array(['of'], dtype=object) array(['food', 'protection'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'New', 'York', 'state', 'Health', 'Department'],
+       dtype=object)                                           ]",['Jack' 'Guzewich'],['PP' 'NP' 'ADVP' 'VP'],1
+`` Employers who saw a short-term moderation in benefit expenditures are seeing a return to previous trends . '',"[array(['Employers'], dtype=object) array(['who'], dtype=object)
+ array(['saw'], dtype=object)
+ array(['a', 'short-term', 'moderation'], dtype=object)
+ array(['in'], dtype=object)
+ array(['benefit', 'expenditures'], dtype=object)
+ array(['are', 'seeing'], dtype=object)
+ array(['a', 'return'], dtype=object) array(['to'], dtype=object)
+ array(['previous', 'trends'], dtype=object)]",['are' 'seeing'],['PP' 'VP' 'NP' 'ADJP'],1
+"Curiously , he compares the Orange Workers to the ANC , which his father outlawed in 1960 .","[array(['Curiously'], dtype=object) array(['he'], dtype=object)
+ array(['compares'], dtype=object)
+ array(['the', 'Orange', 'Workers'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'ANC'], dtype=object)
+ array(['which'], dtype=object) array(['his', 'father'], dtype=object)
+ array(['outlawed'], dtype=object) array(['in'], dtype=object)
+ array(['1960'], dtype=object)]",['the' 'ANC'],['VP' 'NP' 'SBAR' 'PP'],1
+They are worth more because they pay higher interest than newly issued bonds do .,"[array(['They'], dtype=object) array(['are'], dtype=object)
+ array(['worth'], dtype=object) array(['more'], dtype=object)
+ array(['because'], dtype=object) array(['they'], dtype=object)
+ array(['pay'], dtype=object) array(['higher', 'interest'], dtype=object)
+ array(['than'], dtype=object)
+ array(['newly', 'issued', 'bonds'], dtype=object)
+ array(['do'], dtype=object)]",['worth'],['NP' 'PP' 'ADJP' 'VP'],1
+Mr. Andersson acknowledges that the company 's mining division `` will be busy for a while digesting its recent expansion . '',"[array(['Mr.', 'Andersson'], dtype=object)
+ array(['acknowledges'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array([""'s"", 'mining', 'division'], dtype=object)
+ array(['will', 'be'], dtype=object) array(['busy'], dtype=object)
+ array(['for'], dtype=object) array(['a', 'while'], dtype=object)
+ array(['digesting'], dtype=object)
+ array(['its', 'recent', 'expansion'], dtype=object)]",['will' 'be'],['PP' 'VP' 'ADVP' 'NP'],1
+"In today 's computer networks , some machines often sit idle while others are overtaxed .","[array(['In'], dtype=object) array(['today'], dtype=object)
+ array([""'s"", 'computer', 'networks'], dtype=object)
+ array(['some', 'machines'], dtype=object) array(['often'], dtype=object)
+ array(['sit'], dtype=object) array(['idle'], dtype=object)
+ array(['while'], dtype=object) array(['others'], dtype=object)
+ array(['are', 'overtaxed'], dtype=object)]",['today'],['PP' 'NP' 'VP' 'ADVP'],1
+"While there are n't any major deals in the works currently on the scale of Sony Corp. 's recent $ 3.4 billion agreement to buy Columbia Pictures Entertainment Inc. , observers do n't rule out a transaction of that size .","[array(['While'], dtype=object) array(['there'], dtype=object)
+ array(['are'], dtype=object)
+ array(['any', 'major', 'deals'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'works'], dtype=object)
+ array(['currently'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'scale'], dtype=object) array(['of'], dtype=object)
+ array(['Sony', 'Corp.'], dtype=object) array([""'s""], dtype=object)
+ array(['$'], dtype=object) array(['agreement'], dtype=object)
+ array(['to', 'buy'], dtype=object)
+ array(['Columbia', 'Pictures', 'Entertainment', 'Inc.'], dtype=object)
+ array(['observers'], dtype=object)
+ array(['do', ""n't"", 'rule'], dtype=object) array(['out'], dtype=object)
+ array(['a', 'transaction'], dtype=object) array(['of'], dtype=object)
+ array(['that', 'size'], dtype=object)]",['on'],['NP' 'PP' 'VP' 'ADVP'],1
+"Second , the responsibilities of the Federal Reserve as guardian of the currency , which means as guardian of the stability of the price level , sometimes lead it to take measures that are unpopular .","[array(['Second'], dtype=object)
+ array(['the', 'responsibilities'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'Federal', 'Reserve'], dtype=object)
+ array(['as'], dtype=object) array(['guardian'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'currency'], dtype=object)
+ array(['which'], dtype=object) array(['means'], dtype=object)
+ array(['as'], dtype=object) array(['guardian'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'stability'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'price', 'level'], dtype=object)
+ array(['sometimes'], dtype=object) array(['lead'], dtype=object)
+ array(['it'], dtype=object) array(['to', 'take'], dtype=object)
+ array(['measures'], dtype=object) array(['that'], dtype=object)
+ array(['are'], dtype=object) array(['unpopular'], dtype=object)]",['which'],['PP' 'NP' 'SBAR' 'VP'],1
+"Shearson Lehman Hutton Holdings Inc. posted a sharp third-quarter turnaround from a year earlier , but net income would have dropped from the second quarter without a $ 37 million after-tax gain .","[array(['Shearson', 'Lehman', 'Hutton', 'Holdings', 'Inc.'], dtype=object)
+ array(['posted'], dtype=object)
+ array(['a', 'sharp', 'third-quarter', 'turnaround'], dtype=object)
+ array(['from'], dtype=object) array(['a', 'year'], dtype=object)
+ array(['earlier'], dtype=object) array(['net', 'income'], dtype=object)
+ array(['would', 'have', 'dropped'], dtype=object)
+ array(['from'], dtype=object)
+ array(['the', 'second', 'quarter'], dtype=object)
+ array(['without'], dtype=object)
+ array(['a', '$', '37', 'million', 'after-tax', 'gain'], dtype=object)]",['without'],['NP' 'PP' 'VP' 'ADJP'],1
+Outstanding contracts are those that remain to be liquidated .,"[array(['Outstanding', 'contracts'], dtype=object)
+ array(['are'], dtype=object) array(['those'], dtype=object)
+ array(['that'], dtype=object)
+ array(['remain', 'to', 'be', 'liquidated'], dtype=object)]",['that'],['ADVP' 'NP' 'VP' 'PP'],1
+"The last time Columbia Pictures was looking for a studio chief , they note , Warner released producer David Puttnam from his contract , then took him back after he was subsequently fired by his bosses at Columbia .","[array(['The', 'last', 'time'], dtype=object)
+ array(['Columbia', 'Pictures'], dtype=object)
+ array(['was', 'looking'], dtype=object) array(['for'], dtype=object)
+ array(['a', 'studio', 'chief'], dtype=object)
+ array(['they'], dtype=object) array(['note'], dtype=object)
+ array(['Warner'], dtype=object) array(['released'], dtype=object)
+ array(['producer', 'David', 'Puttnam'], dtype=object)
+ array(['from'], dtype=object) array(['his', 'contract'], dtype=object)
+ array(['took'], dtype=object) array(['him'], dtype=object)
+ array(['back'], dtype=object) array(['after'], dtype=object)
+ array(['he'], dtype=object)
+ array(['was', 'subsequently', 'fired'], dtype=object)
+ array(['by'], dtype=object) array(['his', 'bosses'], dtype=object)
+ array(['at'], dtype=object) array(['Columbia'], dtype=object)]",['note'],['ADJP' 'VP' 'PP' 'NP'],1
+"The Fort Worth , Texas , company is generally regarded as one of the best-run in the business , and its difficulties are likely to be reflected industrywide as other major carriers report third-quarter results over the next several days .","[array(['The', 'Fort', 'Worth', ',', 'Texas', ',', 'company'], dtype=object)
+ array(['is', 'generally', 'regarded'], dtype=object)
+ array(['as'], dtype=object) array(['one'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'best-run'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'business'], dtype=object)
+ array(['its', 'difficulties'], dtype=object) array(['are'], dtype=object)
+ array(['likely'], dtype=object)
+ array(['to', 'be', 'reflected'], dtype=object)
+ array(['industrywide'], dtype=object) array(['as'], dtype=object)
+ array(['other', 'major', 'carriers'], dtype=object)
+ array(['report'], dtype=object)
+ array(['third-quarter', 'results'], dtype=object)
+ array(['over'], dtype=object)
+ array(['the', 'next', 'several', 'days'], dtype=object)]",['as'],['VP' 'SBAR' 'PP' 'NP'],1
+Holiday said Salomon Brothers Inc. has been retained to act as the dealer-manager and financial adviser in connection with the offer and solicitation .,"[array(['Holiday'], dtype=object) array(['said'], dtype=object)
+ array(['Salomon', 'Brothers', 'Inc.'], dtype=object)
+ array(['has', 'been', 'retained', 'to', 'act'], dtype=object)
+ array(['as'], dtype=object)
+ array(['the', 'dealer-manager', 'and', 'financial', 'adviser'],
+       dtype=object)
+ array(['in'], dtype=object) array(['connection'], dtype=object)
+ array(['with'], dtype=object)
+ array(['the', 'offer', 'and', 'solicitation'], dtype=object)]",['the' 'dealer-manager' 'and' 'financial' 'adviser'],['PP' 'NP' 'ADJP' 'ADVP'],1
+"After failing to find a buyer for the Sears Tower in Chicago , Sears , Roebuck & Co. is negotiating with Boston pension fund adviser Aldrich , Eastman & Waltch Inc. to refinance the property for close to $ 850 million , according to people close to the negotiations .","[array(['After'], dtype=object)
+ array(['failing', 'to', 'find'], dtype=object)
+ array(['a', 'buyer'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'Sears', 'Tower'], dtype=object)
+ array(['in'], dtype=object) array(['Chicago'], dtype=object)
+ array(['Sears', ',', 'Roebuck', '&', 'Co.'], dtype=object)
+ array(['is', 'negotiating'], dtype=object) array(['with'], dtype=object)
+ array(['Boston', 'pension', 'fund', 'adviser', 'Aldrich', ',', 'Eastman',
+        '&', 'Waltch', 'Inc.'], dtype=object)
+ array(['to', 'refinance'], dtype=object)
+ array(['the', 'property'], dtype=object) array(['for'], dtype=object)
+ array(['close', 'to', '$', '850', 'million'], dtype=object)
+ array(['according'], dtype=object) array(['to'], dtype=object)
+ array(['people'], dtype=object) array(['close'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'negotiations'], dtype=object)]",['in'],['ADVP' 'PP' 'NP' 'VP'],1
+"Takeover stock speculators have incurred paper losses of over $ 700 million from the failed UAL offer , their worst loss ever on a single deal .","[array(['Takeover', 'stock', 'speculators'], dtype=object)
+ array(['have', 'incurred'], dtype=object)
+ array(['paper', 'losses'], dtype=object) array(['of'], dtype=object)
+ array(['over', '$', '700', 'million'], dtype=object)
+ array(['from'], dtype=object)
+ array(['the', 'failed', 'UAL', 'offer'], dtype=object)
+ array(['their', 'worst', 'loss'], dtype=object)
+ array(['ever'], dtype=object) array(['on'], dtype=object)
+ array(['a', 'single', 'deal'], dtype=object)]",['a' 'single' 'deal'],['VP' 'NP' 'PP' 'ADJP'],1
+"The House version of the bill would make debt non-deductible if it pays five percentage points above Treasury notes , has at least a five-year maturity and does n't pay interest for at least one year out of the first five .","[array(['The', 'House', 'version'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'bill'], dtype=object)
+ array(['would', 'make'], dtype=object) array(['debt'], dtype=object)
+ array(['non-deductible'], dtype=object) array(['if'], dtype=object)
+ array(['it'], dtype=object) array(['pays'], dtype=object)
+ array(['five', 'percentage', 'points'], dtype=object)
+ array(['above'], dtype=object) array(['Treasury', 'notes'], dtype=object)
+ array(['has'], dtype=object) array(['at', 'least'], dtype=object)
+ array(['a', 'five-year', 'maturity'], dtype=object)
+ array(['does', ""n't"", 'pay'], dtype=object)
+ array(['interest'], dtype=object) array(['for'], dtype=object)
+ array(['at', 'least', 'one', 'year'], dtype=object)
+ array(['out'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'first', 'five'], dtype=object)]",['out'],['VP' 'PP' 'ADVP' 'NP'],1
+"Pfizer posted its largest gains in healthcare sales , up 3 % , and consumer products , up 23 % .","[array(['Pfizer'], dtype=object) array(['posted'], dtype=object)
+ array(['its', 'largest', 'gains'], dtype=object)
+ array(['in'], dtype=object) array(['healthcare', 'sales'], dtype=object)
+ array(['up'], dtype=object) array(['3', '%'], dtype=object)
+ array(['consumer', 'products'], dtype=object) array(['up'], dtype=object)
+ array(['23', '%'], dtype=object)]",['healthcare' 'sales'],['PP' 'NP' 'ADJP' 'VP'],1
+"In the event that the buy-out group stalls in reviving its bid , the UAL board could remain under some pressure to seek another transaction , even without any legal obligation to do so .","[array(['In'], dtype=object) array(['the', 'event'], dtype=object)
+ array(['that'], dtype=object)
+ array(['the', 'buy-out', 'group'], dtype=object)
+ array(['stalls'], dtype=object) array(['in'], dtype=object)
+ array(['reviving'], dtype=object) array(['its', 'bid'], dtype=object)
+ array(['the', 'UAL', 'board'], dtype=object)
+ array(['could', 'remain'], dtype=object) array(['under'], dtype=object)
+ array(['some', 'pressure'], dtype=object)
+ array(['to', 'seek'], dtype=object)
+ array(['another', 'transaction'], dtype=object)
+ array(['even'], dtype=object) array(['without'], dtype=object)
+ array(['any', 'legal', 'obligation'], dtype=object)
+ array(['to', 'do'], dtype=object) array(['so'], dtype=object)]",['could' 'remain'],['NP' 'VP' 'PP' 'ADVP'],1
+"However , individuals close to the company insist shuttering the insurance division , a sideline from the company 's core property management business , is n't the beginning of a sale of assets .","[array(['However'], dtype=object) array(['individuals'], dtype=object)
+ array(['close'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'company'], dtype=object) array(['insist'], dtype=object)
+ array(['shuttering'], dtype=object)
+ array(['the', 'insurance', 'division'], dtype=object)
+ array(['a', 'sideline'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array([""'s"", 'core', 'property', 'management', 'business'], dtype=object)
+ array(['is'], dtype=object) array(['the', 'beginning'], dtype=object)
+ array(['of'], dtype=object) array(['a', 'sale'], dtype=object)
+ array(['of'], dtype=object) array(['assets'], dtype=object)]",['insist'],['ADVP' 'VP' 'NP' 'PP'],1
+"He said that his resignation was a mutual decision with Capital Holding management , but that he was n't actually asked to resign .","[array(['He'], dtype=object) array(['said'], dtype=object)
+ array(['his', 'resignation'], dtype=object) array(['was'], dtype=object)
+ array(['a', 'mutual', 'decision'], dtype=object)
+ array(['with'], dtype=object)
+ array(['Capital', 'Holding', 'management'], dtype=object)
+ array(['that'], dtype=object) array(['he'], dtype=object)
+ array(['was', ""n't"", 'actually', 'asked'], dtype=object)
+ array(['to', 'resign'], dtype=object)]",['his' 'resignation'],['VP' 'NP' 'ADJP' 'PP'],1
+"Nynex said expenses rose 4.5 % to $ 2.73 billion from $ 2.61 billion , a $ 119 million increase .","[array(['Nynex'], dtype=object) array(['said'], dtype=object)
+ array(['expenses'], dtype=object) array(['rose'], dtype=object)
+ array(['4.5', '%'], dtype=object) array(['to'], dtype=object)
+ array(['$', '2.73', 'billion'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '2.61', 'billion'], dtype=object)
+ array(['a', '$', '119', 'million', 'increase'], dtype=object)]",['said'],['PP' 'VP' 'NP' 'PRT'],1
+"If a more absorbent Pampers hits the market , you can be sure a new and improved Huggies wo n't be far behind .","[array(['If'], dtype=object)
+ array(['a', 'more', 'absorbent', 'Pampers'], dtype=object)
+ array(['hits'], dtype=object) array(['the', 'market'], dtype=object)
+ array(['you'], dtype=object) array(['can', 'be'], dtype=object)
+ array(['sure'], dtype=object)
+ array(['a', 'new', 'and', 'improved', 'Huggies'], dtype=object)
+ array(['wo', ""n't"", 'be'], dtype=object)
+ array(['far', 'behind'], dtype=object)]",['far' 'behind'],['PP' 'ADVP' 'NP' 'ADJP'],1
+B.A.T rose five pence -LRB- eight cents -RRB- to 756 pence -LRB- $ 11.91 -RRB- in London yesterday as a late market rally erased a 28-pence fall earlier in the day .,"[array(['B.A.T'], dtype=object) array(['rose'], dtype=object)
+ array(['five', 'pence'], dtype=object)
+ array(['eight', 'cents'], dtype=object) array(['to'], dtype=object)
+ array(['756', 'pence'], dtype=object) array(['$', '11.91'], dtype=object)
+ array(['in'], dtype=object) array(['London'], dtype=object)
+ array(['yesterday'], dtype=object) array(['as'], dtype=object)
+ array(['a', 'late', 'market', 'rally'], dtype=object)
+ array(['erased'], dtype=object)
+ array(['a', '28-pence', 'fall'], dtype=object)
+ array(['earlier'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'day'], dtype=object)]",['rose'],['SBAR' 'VP' 'PP' 'NP'],1
+"Trinova closed at $ 25 , down $ 1 , in New York Stock Exchange composite trading .","[array(['Trinova'], dtype=object) array(['closed'], dtype=object)
+ array(['at'], dtype=object) array(['$', '25'], dtype=object)
+ array(['down'], dtype=object) array(['$', '1'], dtype=object)
+ array(['in'], dtype=object)
+ array(['New', 'York', 'Stock', 'Exchange', 'composite', 'trading'],
+       dtype=object)                                                ]",['New' 'York' 'Stock' 'Exchange' 'composite' 'trading'],['PP' 'NP' 'ADVP' 'VP'],1
+"Rates for The Asian Wall Street Journal Weekly , published in New York for North American readers , will rise 6 % .","[array(['Rates'], dtype=object) array(['for'], dtype=object)
+ array(['The', 'Asian', 'Wall', 'Street', 'Journal', 'Weekly'],
+       dtype=object)
+ array(['published'], dtype=object) array(['in'], dtype=object)
+ array(['New', 'York'], dtype=object) array(['for'], dtype=object)
+ array(['North', 'American', 'readers'], dtype=object)
+ array(['will', 'rise'], dtype=object) array(['6', '%'], dtype=object)]",['6' '%'],['PP' 'NP' 'ADJP' 'VP'],1
+"Bank Building , which builds and equips banks , had announced it would restate the first-three quarters of this fiscal year , which ends Oct. 31 .","[array(['Bank', 'Building'], dtype=object) array(['which'], dtype=object)
+ array(['builds', 'and', 'equips'], dtype=object)
+ array(['banks'], dtype=object) array(['had', 'announced'], dtype=object)
+ array(['it'], dtype=object) array(['would', 'restate'], dtype=object)
+ array(['the', 'first-three', 'quarters'], dtype=object)
+ array(['of'], dtype=object)
+ array(['this', 'fiscal', 'year'], dtype=object)
+ array(['which'], dtype=object) array(['ends'], dtype=object)
+ array(['Oct.', '31'], dtype=object)]",['had' 'announced'],['PP' 'VP' 'SBAR' 'NP'],1
+"Referring to the chairmen of the Senate and House tax-writing committees , he adds , `` Next year , every special-interest group is going to be there knocking on Lloyd Bentsen 's door , on Danny Rostenkowski 's door . ''","[array(['Referring'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'chairmen'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Senate', 'and', 'House', 'tax-writing', 'committees'],
+       dtype=object)
+ array(['he'], dtype=object) array(['adds'], dtype=object)
+ array(['Next', 'year'], dtype=object)
+ array(['every', 'special-interest', 'group'], dtype=object)
+ array(['is', 'going', 'to', 'be'], dtype=object)
+ array(['there'], dtype=object) array(['knocking'], dtype=object)
+ array(['on'], dtype=object) array(['Lloyd', 'Bentsen'], dtype=object)
+ array([""'s"", 'door'], dtype=object) array(['on'], dtype=object)
+ array(['Danny', 'Rostenkowski'], dtype=object)
+ array([""'s"", 'door'], dtype=object)]",['Danny' 'Rostenkowski'],['PP' 'NP' 'ADJP' 'VP'],1
+"He said current expectations are for an entry level machine to be shipped in December , with all of the more sophisticated versions out by June .","[array(['He'], dtype=object) array(['said'], dtype=object)
+ array(['current', 'expectations'], dtype=object)
+ array(['are'], dtype=object) array(['for'], dtype=object)
+ array(['an', 'entry', 'level', 'machine'], dtype=object)
+ array(['to', 'be', 'shipped'], dtype=object) array(['in'], dtype=object)
+ array(['December'], dtype=object) array(['with'], dtype=object)
+ array(['all'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'more', 'sophisticated', 'versions'], dtype=object)
+ array(['out'], dtype=object) array(['by'], dtype=object)
+ array(['June'], dtype=object)]",['of'],['NP' 'PP' 'VP' 'ADVP'],1
+"But traders said the market lacks a base on which to set long-term buying strategy , as the future direction of U.S. interest rates remains unclear .","[array(['traders'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'market'], dtype=object) array(['lacks'], dtype=object)
+ array(['a', 'base'], dtype=object) array(['on'], dtype=object)
+ array(['which'], dtype=object) array(['to', 'set'], dtype=object)
+ array(['long-term', 'buying', 'strategy'], dtype=object)
+ array(['as'], dtype=object)
+ array(['the', 'future', 'direction'], dtype=object)
+ array(['of'], dtype=object)
+ array(['U.S.', 'interest', 'rates'], dtype=object)
+ array(['remains'], dtype=object) array(['unclear'], dtype=object)]",['to' 'set'],['PP' 'VP' 'ADVP' 'NP'],1
+"`` When elephants start fighting , ants get killed , '' says Murray Riese , co-owner of National Restaurants , a New York franchisee for Pizza Hut , Roy Rogers and other chains .","[array(['When'], dtype=object) array(['elephants'], dtype=object)
+ array(['start', 'fighting'], dtype=object) array(['ants'], dtype=object)
+ array(['get', 'killed'], dtype=object) array(['says'], dtype=object)
+ array(['Murray', 'Riese'], dtype=object)
+ array(['co-owner'], dtype=object) array(['of'], dtype=object)
+ array(['National', 'Restaurants'], dtype=object)
+ array(['a', 'New', 'York', 'franchisee'], dtype=object)
+ array(['for'], dtype=object) array(['Pizza', 'Hut'], dtype=object)
+ array(['Roy', 'Rogers'], dtype=object)
+ array(['other', 'chains'], dtype=object)]",['When'],['VP' 'ADVP' 'PP' 'NP'],1
+"Many airlines are talking about cargo ventures , and there have been rumors about such a tie between JAL and European airlines .","[array(['Many', 'airlines'], dtype=object)
+ array(['are', 'talking'], dtype=object) array(['about'], dtype=object)
+ array(['cargo', 'ventures'], dtype=object) array(['there'], dtype=object)
+ array(['have', 'been'], dtype=object) array(['rumors'], dtype=object)
+ array(['about'], dtype=object) array(['such', 'a', 'tie'], dtype=object)
+ array(['between'], dtype=object) array(['JAL'], dtype=object)
+ array(['European', 'airlines'], dtype=object)]",['cargo' 'ventures'],['ADVP' 'NP' 'PP' 'VP'],1
+"Indeed , British Air seemed to be distancing itself from the troubled transaction early in an effort to avoid any further embarrassment .","[array(['Indeed'], dtype=object) array(['British', 'Air'], dtype=object)
+ array(['seemed', 'to', 'be', 'distancing'], dtype=object)
+ array(['itself'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'troubled', 'transaction'], dtype=object)
+ array(['early'], dtype=object) array(['in'], dtype=object)
+ array(['an', 'effort'], dtype=object)
+ array(['to', 'avoid'], dtype=object)
+ array(['any', 'further', 'embarrassment'], dtype=object)]",['itself'],['VP' 'NP' 'PRT' 'PP'],1
+"That contract fell a total of 5.75 cents during the first three days of this week , mostly in reaction to last Friday 's stock market plunge , which prompted concern that it might signal a similar sharp slowing of the U.S. economy and thus reduced demand for copper , a leading industrial metal .","[array(['That', 'contract'], dtype=object) array(['fell'], dtype=object)
+ array(['a', 'total'], dtype=object) array(['of'], dtype=object)
+ array(['5.75', 'cents'], dtype=object) array(['during'], dtype=object)
+ array(['the', 'first', 'three', 'days'], dtype=object)
+ array(['of'], dtype=object) array(['this', 'week'], dtype=object)
+ array(['mostly'], dtype=object) array(['in'], dtype=object)
+ array(['reaction'], dtype=object) array(['to'], dtype=object)
+ array(['last', 'Friday'], dtype=object)
+ array([""'s"", 'stock', 'market', 'plunge'], dtype=object)
+ array(['which'], dtype=object) array(['prompted'], dtype=object)
+ array(['concern'], dtype=object) array(['that'], dtype=object)
+ array(['it'], dtype=object) array(['might', 'signal'], dtype=object)
+ array(['a', 'similar', 'sharp', 'slowing'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'U.S.', 'economy'], dtype=object)
+ array(['thus'], dtype=object) array(['reduced'], dtype=object)
+ array(['demand'], dtype=object) array(['for'], dtype=object)
+ array(['copper'], dtype=object)
+ array(['a', 'leading', 'industrial', 'metal'], dtype=object)]",['reaction'],['VP' 'NP' 'PP' 'ADJP'],1
+The country abandoned its former devotion to socialist unity and took to insisting instead that each country in the bloc ought to travel its own road .,"[array(['The', 'country'], dtype=object)
+ array(['abandoned'], dtype=object)
+ array(['its', 'former', 'devotion'], dtype=object)
+ array(['to'], dtype=object) array(['socialist', 'unity'], dtype=object)
+ array(['took'], dtype=object) array(['to'], dtype=object)
+ array(['insisting'], dtype=object) array(['instead'], dtype=object)
+ array(['that'], dtype=object) array(['each', 'country'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'bloc'], dtype=object)
+ array(['ought', 'to', 'travel'], dtype=object)
+ array(['its', 'own', 'road'], dtype=object)]",['the' 'bloc'],['PP' 'NP' 'VP' 'ADVP'],1
+"So throughout the decade I have maintained my share of individual retirement accounts and CDs , and tinkered with stocks , bonds and mutual funds , as well as preserving my necessary position in the residential real-estate market .","[array(['throughout'], dtype=object)
+ array(['the', 'decade'], dtype=object) array(['I'], dtype=object)
+ array(['have', 'maintained'], dtype=object)
+ array(['my', 'share'], dtype=object) array(['of'], dtype=object)
+ array(['individual', 'retirement', 'accounts'], dtype=object)
+ array(['CDs'], dtype=object) array(['tinkered'], dtype=object)
+ array(['with'], dtype=object) array(['stocks'], dtype=object)
+ array(['bonds'], dtype=object) array(['mutual', 'funds'], dtype=object)
+ array(['as', 'well', 'as'], dtype=object)
+ array(['preserving'], dtype=object)
+ array(['my', 'necessary', 'position'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'residential', 'real-estate', 'market'], dtype=object)]",['throughout'],['VP' 'PP' 'NP' 'SBAR'],1
+"Until now , BNL 's top managers and its directors have been appointed by a Treasury decree .","[array(['Until'], dtype=object) array(['now'], dtype=object)
+ array(['BNL'], dtype=object)
+ array([""'s"", 'top', 'managers'], dtype=object)
+ array(['its', 'directors'], dtype=object)
+ array(['have', 'been', 'appointed'], dtype=object)
+ array(['by'], dtype=object)
+ array(['a', 'Treasury', 'decree'], dtype=object)]",['Until'],['ADVP' 'PP' 'VP' 'NP'],1
+The Accumulation and Investment Group is responsible for the investment operations of all Capital Holding 's insurance businesses and markets guaranteed investment contracts to bank trust departments and other institutions .,"[array(['The', 'Accumulation', 'and', 'Investment', 'Group'], dtype=object)
+ array(['is'], dtype=object) array(['responsible'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'investment', 'operations'], dtype=object)
+ array(['of'], dtype=object)
+ array(['all', 'Capital', 'Holding'], dtype=object)
+ array([""'s"", 'insurance', 'businesses'], dtype=object)
+ array(['markets'], dtype=object)
+ array(['guaranteed', 'investment', 'contracts'], dtype=object)
+ array(['to'], dtype=object)
+ array(['bank', 'trust', 'departments'], dtype=object)
+ array(['other', 'institutions'], dtype=object)]",['to'],['NP' 'PP' 'VP' 'ADVP'],1
+"Volume was 449.3 million shares , the slowest of a hectic week , compared with 643.4 million Tuesday .","[array(['Volume'], dtype=object) array(['was'], dtype=object)
+ array(['449.3', 'million', 'shares'], dtype=object)
+ array(['the', 'slowest'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'hectic', 'week'], dtype=object)
+ array(['compared'], dtype=object) array(['with'], dtype=object)
+ array(['643.4', 'million'], dtype=object)
+ array(['Tuesday'], dtype=object)]",['Tuesday'],['PP' 'NP' 'VP' 'ADJP'],1
+But their potential quake exposure is seen as small given that they require a financial cushion on all the loans they purchase .,"[array(['their', 'potential', 'quake', 'exposure'], dtype=object)
+ array(['is', 'seen'], dtype=object) array(['as'], dtype=object)
+ array(['small'], dtype=object) array(['given'], dtype=object)
+ array(['that'], dtype=object) array(['they'], dtype=object)
+ array(['require'], dtype=object)
+ array(['a', 'financial', 'cushion'], dtype=object)
+ array(['on'], dtype=object) array(['all', 'the', 'loans'], dtype=object)
+ array(['they'], dtype=object) array(['purchase'], dtype=object)]",['as'],['NP' 'PP' 'VP' 'SBAR'],1
+"The National Restaurant Association says quick-service restaurant units in the U.S. rose 14 % to 131,146 between 1983 and 1987 , the last year for which figures are available .","[array(['The', 'National', 'Restaurant', 'Association'], dtype=object)
+ array(['says'], dtype=object)
+ array(['quick-service', 'restaurant', 'units'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'U.S.'], dtype=object)
+ array(['rose'], dtype=object) array(['14', '%'], dtype=object)
+ array(['to'], dtype=object) array(['131,146'], dtype=object)
+ array(['between'], dtype=object) array(['1983'], dtype=object)
+ array(['1987'], dtype=object)
+ array(['the', 'last', 'year'], dtype=object) array(['for'], dtype=object)
+ array(['which'], dtype=object) array(['figures'], dtype=object)
+ array(['are'], dtype=object) array(['available'], dtype=object)]",['The' 'National' 'Restaurant' 'Association'],['ADVP' 'NP' 'VP' 'PP'],1
+"For the first six months , wholesale sales rose 12.3 % from the year before , reflecting to a 11.5 % jump in domestic sales and a 14.6 % boost in foreign sales .","[array(['For'], dtype=object)
+ array(['the', 'first', 'six', 'months'], dtype=object)
+ array(['wholesale', 'sales'], dtype=object) array(['rose'], dtype=object)
+ array(['12.3', '%'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'year'], dtype=object) array(['before'], dtype=object)
+ array(['reflecting'], dtype=object) array(['to'], dtype=object)
+ array(['a', '11.5', '%', 'jump'], dtype=object)
+ array(['in'], dtype=object) array(['domestic', 'sales'], dtype=object)
+ array(['a', '14.6', '%', 'boost'], dtype=object)
+ array(['in'], dtype=object) array(['foreign', 'sales'], dtype=object)]",['to'],['ADVP' 'PP' 'VP' 'NP'],1
+"The decision , which affects millions of dollars of trading positions , was made late yesterday because the Pacific exchange 's options floor was shut down as a result of Tuesday 's earthquake .","[array(['The', 'decision'], dtype=object) array(['which'], dtype=object)
+ array(['affects'], dtype=object) array(['millions'], dtype=object)
+ array(['of'], dtype=object) array(['dollars'], dtype=object)
+ array(['of'], dtype=object) array(['trading', 'positions'], dtype=object)
+ array(['was', 'made'], dtype=object)
+ array(['late', 'yesterday'], dtype=object)
+ array(['because'], dtype=object)
+ array(['the', 'Pacific', 'exchange'], dtype=object)
+ array([""'s"", 'options', 'floor'], dtype=object)
+ array(['was', 'shut'], dtype=object) array(['down'], dtype=object)
+ array(['as'], dtype=object) array(['a', 'result'], dtype=object)
+ array(['of'], dtype=object) array(['Tuesday'], dtype=object)
+ array([""'s"", 'earthquake'], dtype=object)]",['millions'],['PP' 'NP' 'ADVP' 'VP'],1
+"Recovering radiophonic sovereignty was the purpose of Radio Costa Rica , funded by the U.S. and affiliated with the Voice of America -LRB- VOA -RRB- .","[array(['Recovering'], dtype=object)
+ array(['radiophonic', 'sovereignty'], dtype=object)
+ array(['was'], dtype=object) array(['the', 'purpose'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Radio', 'Costa', 'Rica'], dtype=object)
+ array(['funded'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'U.S.'], dtype=object) array(['affiliated'], dtype=object)
+ array(['with'], dtype=object) array(['the', 'Voice'], dtype=object)
+ array(['of'], dtype=object) array(['America'], dtype=object)
+ array(['VOA'], dtype=object)]",['of'],['SBAR' 'PP' 'ADVP' 'NP'],1
+"In passing the window , Senorita Elvira gives them a smile -- simply out of habit .","[array(['In'], dtype=object) array(['passing'], dtype=object)
+ array(['the', 'window'], dtype=object)
+ array(['Senorita', 'Elvira'], dtype=object)
+ array(['gives'], dtype=object) array(['them'], dtype=object)
+ array(['a', 'smile'], dtype=object) array(['simply'], dtype=object)
+ array(['out'], dtype=object) array(['of'], dtype=object)
+ array(['habit'], dtype=object)]",['habit'],['VP' 'NP' 'PP' 'ADJP'],1
+"John C. Burton , an accounting professor at Columbia University 's Graduate School of Business , said `` there 's a lot of emotion involved in the name of an accounting firm with a long history and with roots in England , where accounting predates the U.S. . ''","[array(['John', 'C.', 'Burton'], dtype=object)
+ array(['an', 'accounting', 'professor'], dtype=object)
+ array(['at'], dtype=object)
+ array(['Columbia', 'University'], dtype=object)
+ array([""'s"", 'Graduate', 'School'], dtype=object)
+ array(['of'], dtype=object) array(['Business'], dtype=object)
+ array(['said'], dtype=object) array(['there'], dtype=object)
+ array([""'s""], dtype=object) array(['a', 'lot'], dtype=object)
+ array(['of'], dtype=object) array(['emotion'], dtype=object)
+ array(['involved'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'name'], dtype=object) array(['of'], dtype=object)
+ array(['an', 'accounting', 'firm'], dtype=object)
+ array(['with'], dtype=object)
+ array(['a', 'long', 'history'], dtype=object)
+ array(['and'], dtype=object) array(['with'], dtype=object)
+ array(['roots'], dtype=object) array(['in'], dtype=object)
+ array(['England'], dtype=object) array(['where'], dtype=object)
+ array(['accounting'], dtype=object) array(['predates'], dtype=object)
+ array(['the', 'U.S.'], dtype=object)]",['a' 'lot'],['VP' 'NP' 'ADVP' 'PP'],1
+"`` We lent a lot of money all over the place , '' said Tan Sri Basir , who refused to discuss the bank 's outstanding loans to","[array(['We'], dtype=object) array(['lent'], dtype=object)
+ array(['a', 'lot'], dtype=object) array(['of'], dtype=object)
+ array(['money'], dtype=object) array(['all'], dtype=object)
+ array(['over'], dtype=object) array(['the', 'place'], dtype=object)
+ array(['said'], dtype=object)
+ array(['Tan', 'Sri', 'Basir'], dtype=object) array(['who'], dtype=object)
+ array(['refused', 'to', 'discuss'], dtype=object)
+ array(['the', 'bank'], dtype=object)
+ array([""'s"", 'outstanding', 'loans'], dtype=object)]",['all'],['ADVP' 'NP' 'VP' 'PP'],1
+"Mr. Cortese , a 33-year-old Delta Air Lines engineer , invested some $ 2,000 in penny stocks through a broker who promised quick returns .","[array(['Mr.', 'Cortese'], dtype=object)
+ array(['a', '33-year-old', 'Delta', 'Air', 'Lines', 'engineer'],
+       dtype=object)
+ array(['invested'], dtype=object)
+ array(['some', '$', '2,000'], dtype=object) array(['in'], dtype=object)
+ array(['penny', 'stocks'], dtype=object) array(['through'], dtype=object)
+ array(['a', 'broker'], dtype=object) array(['who'], dtype=object)
+ array(['promised'], dtype=object)
+ array(['quick', 'returns'], dtype=object)]",['in'],['NP' 'PP' 'VP' 'SBAR'],1
+"Over at the Shell station , owner Rudi van Dyk , who doubles as Morgenzon 's mayor , worries that the Orange Workers have made his town the laughingstock of the nation .","[array(['Over'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'Shell', 'station'], dtype=object)
+ array(['owner', 'Rudi', 'van', 'Dyk'], dtype=object)
+ array(['who'], dtype=object) array(['doubles'], dtype=object)
+ array(['as'], dtype=object) array(['Morgenzon'], dtype=object)
+ array([""'s"", 'mayor'], dtype=object) array(['worries'], dtype=object)
+ array(['that'], dtype=object)
+ array(['the', 'Orange', 'Workers'], dtype=object)
+ array(['have', 'made'], dtype=object)
+ array(['his', 'town'], dtype=object)
+ array(['the', 'laughingstock'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'nation'], dtype=object)]",['have' 'made'],['ADJP' 'VP' 'PP' 'NP'],1
+You had to have been blind not to see the scenario there for what it was and is and will continue to be for months and even years -- a part of South Carolina that has sustained a blow that the Red Cross expects will cost that organization alone some $ 38 million .,"[array(['You'], dtype=object)
+ array(['had', 'to', 'have', 'been'], dtype=object)
+ array(['blind'], dtype=object) array(['to', 'see'], dtype=object)
+ array(['the', 'scenario'], dtype=object) array(['there'], dtype=object)
+ array(['for'], dtype=object) array(['what'], dtype=object)
+ array(['it'], dtype=object) array(['was'], dtype=object)
+ array(['is'], dtype=object)
+ array(['will', 'continue', 'to', 'be'], dtype=object)
+ array(['for'], dtype=object) array(['months'], dtype=object)
+ array(['and', 'even'], dtype=object) array(['years'], dtype=object)
+ array(['a', 'part'], dtype=object) array(['of'], dtype=object)
+ array(['South', 'Carolina'], dtype=object) array(['that'], dtype=object)
+ array(['has', 'sustained'], dtype=object)
+ array(['a', 'blow'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'Red', 'Cross'], dtype=object)
+ array(['expects'], dtype=object) array(['will', 'cost'], dtype=object)
+ array(['that', 'organization'], dtype=object)
+ array(['alone'], dtype=object)
+ array(['some', '$', '38', 'million'], dtype=object)]",['that' 'organization'],['SBAR' 'NP' 'VP' 'PP'],1
+"When WCRS created Della Femina McNamee out of the merger of three smaller agency units in 1988 , it said it did so in order to attract larger clients , especially packaged-goods companies .","[array(['When'], dtype=object) array(['WCRS'], dtype=object)
+ array(['created'], dtype=object)
+ array(['Della', 'Femina', 'McNamee'], dtype=object)
+ array(['out'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'merger'], dtype=object) array(['of'], dtype=object)
+ array(['three', 'smaller', 'agency', 'units'], dtype=object)
+ array(['in'], dtype=object) array(['1988'], dtype=object)
+ array(['it'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object) array(['did'], dtype=object)
+ array(['so'], dtype=object) array(['in'], dtype=object)
+ array(['to', 'attract'], dtype=object)
+ array(['larger', 'clients'], dtype=object)
+ array(['especially'], dtype=object)
+ array(['packaged-goods', 'companies'], dtype=object)]",['WCRS'],['PP' 'NP' 'SBAR' 'VP'],1
+Investors recalled that Shearson last week had been advising that `` the market is still exhibiting all the signs of a further advance . '',"[array(['Investors'], dtype=object) array(['recalled'], dtype=object)
+ array(['that'], dtype=object) array(['Shearson'], dtype=object)
+ array(['last', 'week'], dtype=object)
+ array(['had', 'been', 'advising'], dtype=object)
+ array(['that'], dtype=object) array(['the', 'market'], dtype=object)
+ array(['is', 'still', 'exhibiting'], dtype=object)
+ array(['all', 'the', 'signs'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'further', 'advance'], dtype=object)]",['had' 'been' 'advising'],['ADVP' 'VP' 'PP' 'NP'],1
+"As we know , voters tend to favor Republicans more in races for president than in those for Congress .","[array(['As'], dtype=object) array(['we'], dtype=object)
+ array(['know'], dtype=object) array(['voters'], dtype=object)
+ array(['tend', 'to', 'favor'], dtype=object)
+ array(['Republicans'], dtype=object) array(['more'], dtype=object)
+ array(['in'], dtype=object) array(['races'], dtype=object)
+ array(['for'], dtype=object) array(['president'], dtype=object)
+ array(['than'], dtype=object) array(['in'], dtype=object)
+ array(['those'], dtype=object) array(['for'], dtype=object)
+ array(['Congress'], dtype=object)]",['races'],['VP' 'NP' 'SBAR' 'PP'],1
+"First City , which issues both MasterCard and Visa cards , has agreed to act as an agent bank .","[array(['First', 'City'], dtype=object) array(['which'], dtype=object)
+ array(['issues'], dtype=object)
+ array(['both', 'MasterCard', 'and', 'Visa', 'cards'], dtype=object)
+ array(['has', 'agreed', 'to', 'act'], dtype=object)
+ array(['as'], dtype=object) array(['an', 'agent', 'bank'], dtype=object)]",['has' 'agreed' 'to' 'act'],['NP' 'VP' 'SBAR' 'PP'],1
+"And Ms. Pfeiffer 's particular version of `` Making Whoopee '' -- and the way Mr. Ballhaus photographs her , from the tips of her red high heels right up her clingy red velvet dress -- might make you think of Marilyn Monroe if Ms. Pfeiffer had n't gone and become a star in her own right .","[array(['Ms.', 'Pfeiffer'], dtype=object)
+ array([""'s"", 'particular', 'version'], dtype=object)
+ array(['of'], dtype=object) array(['Making'], dtype=object)
+ array(['Whoopee'], dtype=object) array(['the', 'way'], dtype=object)
+ array(['Mr.', 'Ballhaus'], dtype=object)
+ array(['photographs'], dtype=object) array(['her'], dtype=object)
+ array(['from'], dtype=object) array(['the', 'tips'], dtype=object)
+ array(['of'], dtype=object)
+ array(['her', 'red', 'high', 'heels'], dtype=object)
+ array(['right'], dtype=object) array(['up'], dtype=object)
+ array(['her', 'clingy', 'red', 'velvet', 'dress'], dtype=object)
+ array(['might', 'make'], dtype=object) array(['you'], dtype=object)
+ array(['think'], dtype=object) array(['of'], dtype=object)
+ array(['Marilyn', 'Monroe'], dtype=object) array(['if'], dtype=object)
+ array(['Ms.', 'Pfeiffer'], dtype=object)
+ array(['had', ""n't"", 'gone'], dtype=object)
+ array(['become'], dtype=object) array(['a', 'star'], dtype=object)
+ array(['in'], dtype=object) array(['her', 'own', 'right'], dtype=object)]",['if'],['VP' 'SBAR' 'NP' 'PP'],1
+"Revenue-short states also are becoming more aggressive pursuers of tax delinquents , and perhaps none tracks them down with more relish than does New York since it acquired an $ 80 million computer system in 1985 .","[array(['Revenue-short', 'states'], dtype=object)
+ array(['also'], dtype=object) array(['are', 'becoming'], dtype=object)
+ array(['more', 'aggressive', 'pursuers'], dtype=object)
+ array(['of'], dtype=object) array(['tax', 'delinquents'], dtype=object)
+ array(['perhaps'], dtype=object) array(['none'], dtype=object)
+ array(['tracks'], dtype=object) array(['them'], dtype=object)
+ array(['down'], dtype=object) array(['with'], dtype=object)
+ array(['more', 'relish'], dtype=object) array(['than'], dtype=object)
+ array(['does'], dtype=object) array(['New', 'York'], dtype=object)
+ array(['since'], dtype=object) array(['it'], dtype=object)
+ array(['acquired'], dtype=object)
+ array(['an', '$', '80', 'million', 'computer', 'system'], dtype=object)
+ array(['in'], dtype=object) array(['1985'], dtype=object)]",['tracks'],['NP' 'VP' 'SBAR' 'ADJP'],1
+"After completing the sale and paying debts , the trust and corporation will consider a number of options including a stock repurchase , payment of special dividend or investment in more gaming properties .","[array(['After'], dtype=object) array(['completing'], dtype=object)
+ array(['the', 'sale'], dtype=object) array(['paying'], dtype=object)
+ array(['debts'], dtype=object)
+ array(['the', 'trust', 'and', 'corporation'], dtype=object)
+ array(['will', 'consider'], dtype=object)
+ array(['a', 'number'], dtype=object) array(['of'], dtype=object)
+ array(['options'], dtype=object) array(['including'], dtype=object)
+ array(['a', 'stock', 'repurchase'], dtype=object)
+ array(['payment'], dtype=object) array(['of'], dtype=object)
+ array(['special', 'dividend'], dtype=object)
+ array(['investment'], dtype=object) array(['in'], dtype=object)
+ array(['more', 'gaming', 'properties'], dtype=object)]",['of'],['NP' 'PP' 'VP' 'ADVP'],1
+"The athletic footwear maker said net rose to $ 49.9 million , or 44 cents a share , from $ 37.1 million , or 32 cents a share , a year earlier .","[array(['The', 'athletic', 'footwear', 'maker'], dtype=object)
+ array(['said'], dtype=object) array(['net'], dtype=object)
+ array(['rose'], dtype=object) array(['to'], dtype=object)
+ array(['$', '49.9', 'million'], dtype=object)
+ array(['44', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '37.1', 'million'], dtype=object)
+ array(['32', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['earlier'], dtype=object)]",['a' 'share'],['VP' 'NP' 'PRT' 'PP'],1
+Keeping the listed price at a dollar is primarily a convenience .,"[array(['Keeping'], dtype=object)
+ array(['the', 'listed', 'price'], dtype=object)
+ array(['at'], dtype=object) array(['a', 'dollar'], dtype=object)
+ array(['is'], dtype=object) array(['primarily'], dtype=object)
+ array(['a', 'convenience'], dtype=object)]",['a' 'dollar'],['ADVP' 'NP' 'PP' 'VP'],1
+"The most popular plays of the day were insurance companies such as General Re Corp. , which rose $ 2.75 to $ 86.50 , Nac Re Corp. , up $ 2 to $ 37.75 , American International Group Inc. , up $ 3.25 to $ 102.625 , and Cigna Corp. , up 87.5 cents to $ 62.50 .","[array(['The', 'most', 'popular', 'plays'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'day'], dtype=object)
+ array(['were'], dtype=object)
+ array(['insurance', 'companies'], dtype=object)
+ array(['such', 'as'], dtype=object)
+ array(['General', 'Re', 'Corp.'], dtype=object)
+ array(['which'], dtype=object) array(['rose'], dtype=object)
+ array(['$', '2.75'], dtype=object) array(['to'], dtype=object)
+ array(['$', '86.50'], dtype=object)
+ array(['Nac', 'Re', 'Corp.'], dtype=object) array(['up'], dtype=object)
+ array(['$', '2'], dtype=object) array(['to'], dtype=object)
+ array(['$', '37.75'], dtype=object)
+ array(['American', 'International', 'Group', 'Inc.'], dtype=object)
+ array(['up'], dtype=object) array(['$', '3.25'], dtype=object)
+ array(['to'], dtype=object) array(['$', '102.625'], dtype=object)
+ array(['Cigna', 'Corp.'], dtype=object) array(['up'], dtype=object)
+ array(['87.5', 'cents'], dtype=object) array(['to'], dtype=object)
+ array(['$', '62.50'], dtype=object)]",['The' 'most' 'popular' 'plays'],['PP' 'NP' 'VP' 'SBAR'],1
+"In China , however , there is n't likely to be any silver lining because the economy remains guided primarily by the state .","[array(['In'], dtype=object) array(['China'], dtype=object)
+ array(['however'], dtype=object) array(['there'], dtype=object)
+ array(['is'], dtype=object) array(['likely'], dtype=object)
+ array(['to', 'be'], dtype=object)
+ array(['any', 'silver', 'lining'], dtype=object)
+ array(['because'], dtype=object) array(['the', 'economy'], dtype=object)
+ array(['remains', 'guided'], dtype=object)
+ array(['primarily'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'state'], dtype=object)]",['China'],['ADVP' 'NP' 'PP' 'VP'],1
+"In Hugo 's wake , Congress allocated $ 1.1 billion in relief funds , and White House spokesman Marlin Fitzwater said $ 273 million of that money remains and could be diverted for quick expenditures related to the earthquake .","[array(['In'], dtype=object) array(['Hugo'], dtype=object)
+ array([""'s"", 'wake'], dtype=object) array(['Congress'], dtype=object)
+ array(['allocated'], dtype=object)
+ array(['$', '1.1', 'billion'], dtype=object) array(['in'], dtype=object)
+ array(['relief', 'funds'], dtype=object)
+ array(['White', 'House', 'spokesman', 'Marlin', 'Fitzwater'], dtype=object)
+ array(['said'], dtype=object)
+ array(['$', '273', 'million'], dtype=object) array(['of'], dtype=object)
+ array(['that', 'money'], dtype=object) array(['remains'], dtype=object)
+ array(['could', 'be', 'diverted'], dtype=object)
+ array(['for'], dtype=object)
+ array(['quick', 'expenditures'], dtype=object)
+ array(['related'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'earthquake'], dtype=object)]",['could' 'be' 'diverted'],['PP' 'VP' 'SBAR' 'NP'],1
+"One hostile bidder who deliberately avoided using junk bonds was Paramount Communications Inc. in its initial offer to acquire Time Inc. for $ 10.7 billion , or $ 175 a share .","[array(['One', 'hostile', 'bidder'], dtype=object)
+ array(['who'], dtype=object) array(['deliberately'], dtype=object)
+ array(['avoided', 'using'], dtype=object)
+ array(['junk', 'bonds'], dtype=object) array(['was'], dtype=object)
+ array(['Paramount', 'Communications', 'Inc.'], dtype=object)
+ array(['in'], dtype=object)
+ array(['its', 'initial', 'offer'], dtype=object)
+ array(['to', 'acquire'], dtype=object)
+ array(['Time', 'Inc.'], dtype=object) array(['for'], dtype=object)
+ array(['$', '10.7', 'billion'], dtype=object)
+ array(['$', '175'], dtype=object) array(['a', 'share'], dtype=object)]",['for'],['VP' 'PP' 'ADVP' 'NP'],1
+"But we are , in reality , witnessing the continuing decline of the political economy of capitalism : not so much the end of history but the history of the end .","[array(['we'], dtype=object) array(['are'], dtype=object)
+ array(['in'], dtype=object) array(['reality'], dtype=object)
+ array(['witnessing'], dtype=object)
+ array(['the', 'continuing', 'decline'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'political', 'economy'], dtype=object)
+ array(['of'], dtype=object) array(['capitalism'], dtype=object)
+ array(['not'], dtype=object) array(['so', 'much'], dtype=object)
+ array(['the', 'end'], dtype=object) array(['of'], dtype=object)
+ array(['history'], dtype=object) array(['the', 'history'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'end'], dtype=object)]",['we'],['PP' 'NP' 'ADVP' 'VP'],1
+"The drop in earnings did n't surprise analysts who said the Pittsburgh glass , coatings and chemical concern had been predicting a slow quarter because of the sluggish construction industry , a major market for the company 's flat glass .","[array(['The', 'drop'], dtype=object) array(['in'], dtype=object)
+ array(['earnings'], dtype=object)
+ array(['did', ""n't"", 'surprise'], dtype=object)
+ array(['analysts'], dtype=object) array(['who'], dtype=object)
+ array(['said'], dtype=object)
+ array(['the', 'Pittsburgh', 'glass', ',', 'coatings', 'and', 'chemical',
+        'concern'], dtype=object)
+ array(['had', 'been', 'predicting'], dtype=object)
+ array(['a', 'slow', 'quarter'], dtype=object)
+ array(['because', 'of'], dtype=object)
+ array(['the', 'sluggish', 'construction', 'industry'], dtype=object)
+ array(['a', 'major', 'market'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'company'], dtype=object)
+ array([""'s"", 'flat', 'glass'], dtype=object)]","['the' 'Pittsburgh' 'glass' ',' 'coatings' 'and' 'chemical' 'concern']",['PP' 'NP' 'VP' 'SBAR'],1
+That is the conclusion of a report released by the New York State Bar Association .,"[array(['That'], dtype=object) array(['is'], dtype=object)
+ array(['the', 'conclusion'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'report'], dtype=object) array(['released'], dtype=object)
+ array(['by'], dtype=object)
+ array(['the', 'New', 'York', 'State', 'Bar', 'Association'], dtype=object)]",['released'],['PP' 'VP' 'NP' 'ADVP'],1
+"Moreover , he said , technology now exists for stealing corporate secrets after they 've been `` erased '' from a computer 's memory .","[array(['Moreover'], dtype=object) array(['he'], dtype=object)
+ array(['said'], dtype=object) array(['technology'], dtype=object)
+ array(['now'], dtype=object) array(['exists'], dtype=object)
+ array(['for'], dtype=object) array(['stealing'], dtype=object)
+ array(['corporate', 'secrets'], dtype=object)
+ array(['after'], dtype=object) array(['they'], dtype=object)
+ array([""'ve"", 'been', '``', 'erased'], dtype=object)
+ array(['from'], dtype=object) array(['a', 'computer'], dtype=object)
+ array([""'s"", 'memory'], dtype=object)]",['after'],['VP' 'SBAR' 'NP' 'PP'],1
+"So-called E-mail is the collection of inter-office memos , gossip , technical data , schedules and directives distributed over local and national computer networks .","[array(['So-called', 'E-mail'], dtype=object) array(['is'], dtype=object)
+ array(['the', 'collection'], dtype=object) array(['of'], dtype=object)
+ array(['inter-office', 'memos'], dtype=object)
+ array(['gossip'], dtype=object)
+ array(['technical', 'data'], dtype=object)
+ array(['schedules'], dtype=object) array(['directives'], dtype=object)
+ array(['distributed'], dtype=object) array(['over'], dtype=object)
+ array(['local', 'and', 'national', 'computer', 'networks'], dtype=object)]",['local' 'and' 'national' 'computer' 'networks'],['SBAR' 'NP' 'PP' 'VP'],1
+"It is likely to get as much as $ 800 million initially in additional funds , and eventually could get more than $ 1 billion , according to Mr. Fazio , a member of the House Appropriations Committee .","[array(['It'], dtype=object) array(['is'], dtype=object)
+ array(['likely'], dtype=object) array(['to', 'get'], dtype=object)
+ array(['as', 'much', 'as', '$', '800', 'million'], dtype=object)
+ array(['initially'], dtype=object) array(['in'], dtype=object)
+ array(['additional', 'funds'], dtype=object)
+ array(['eventually', 'could', 'get'], dtype=object)
+ array(['more', 'than', '$', '1', 'billion'], dtype=object)
+ array(['according'], dtype=object) array(['to'], dtype=object)
+ array(['Mr.', 'Fazio'], dtype=object)
+ array(['a', 'member'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'House', 'Appropriations', 'Committee'], dtype=object)]",['eventually' 'could' 'get'],['NP' 'VP' 'PP' 'ADVP'],1
+"Digital Equipment Corp. reported a 32 % decline in net income on a modest revenue gain in its fiscal first quarter , causing some analysts to predict weaker results ahead than they had expected .","[array(['Digital', 'Equipment', 'Corp.'], dtype=object)
+ array(['reported'], dtype=object)
+ array(['a', '32', '%', 'decline'], dtype=object)
+ array(['in'], dtype=object) array(['net', 'income'], dtype=object)
+ array(['on'], dtype=object)
+ array(['a', 'modest', 'revenue', 'gain'], dtype=object)
+ array(['in'], dtype=object)
+ array(['its', 'fiscal', 'first', 'quarter'], dtype=object)
+ array(['causing'], dtype=object)
+ array(['some', 'analysts'], dtype=object)
+ array(['to', 'predict'], dtype=object)
+ array(['weaker', 'results'], dtype=object) array(['ahead'], dtype=object)
+ array(['than'], dtype=object) array(['they'], dtype=object)
+ array(['had', 'expected'], dtype=object)]",['in'],['VP' 'PP' 'NP' 'PRT'],1
+"Here she delivers , especially during her enthusiastically awful rendition of the `` Candy Man , '' which she sings while prancing around in a little cotton candy pink angora sweater that could n't be more perfect .","[array(['Here'], dtype=object) array(['she'], dtype=object)
+ array(['delivers'], dtype=object) array(['especially'], dtype=object)
+ array(['during'], dtype=object)
+ array(['her', 'enthusiastically', 'awful', 'rendition'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', '``', 'Candy', 'Man'], dtype=object)
+ array(['which'], dtype=object) array(['she'], dtype=object)
+ array(['sings'], dtype=object) array(['while'], dtype=object)
+ array(['prancing'], dtype=object) array(['around'], dtype=object)
+ array(['in'], dtype=object)
+ array(['a', 'little', 'cotton', 'candy', 'pink', 'angora', 'sweater'],
+       dtype=object)
+ array(['that'], dtype=object) array(['could', ""n't"", 'be'], dtype=object)
+ array(['more', 'perfect'], dtype=object)]",['her' 'enthusiastically' 'awful' 'rendition'],['PP' 'NP' 'VP' 'CONJP'],1
+"This legislative activity comes as both sides are undertaking new mobilization efforts , plunging into gubernatorial races in Virginia and New Jersey , and girding for next autumn 's state elections .","[array(['This', 'legislative', 'activity'], dtype=object)
+ array(['comes'], dtype=object) array(['as'], dtype=object)
+ array(['both', 'sides'], dtype=object)
+ array(['are', 'undertaking'], dtype=object)
+ array(['new', 'mobilization', 'efforts'], dtype=object)
+ array(['plunging'], dtype=object) array(['into'], dtype=object)
+ array(['gubernatorial', 'races'], dtype=object)
+ array(['in'], dtype=object) array(['Virginia'], dtype=object)
+ array(['New', 'Jersey'], dtype=object) array(['girding'], dtype=object)
+ array(['for'], dtype=object) array(['next', 'autumn'], dtype=object)
+ array([""'s"", 'state', 'elections'], dtype=object)]",['New' 'Jersey'],['ADVP' 'NP' 'VP' 'PP'],1
+"Others suggested , however , that the Fed will hold any changes in monetary policy in check , leaving fed funds at around 8 3\/4 % , down from the 9 % level that prevailed from July through September .","[array(['Others'], dtype=object) array(['suggested'], dtype=object)
+ array(['however'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'Fed'], dtype=object) array(['will', 'hold'], dtype=object)
+ array(['any', 'changes'], dtype=object) array(['in'], dtype=object)
+ array(['monetary', 'policy'], dtype=object) array(['in'], dtype=object)
+ array(['check'], dtype=object) array(['leaving'], dtype=object)
+ array(['fed', 'funds'], dtype=object) array(['at'], dtype=object)
+ array(['around', '8', '3\\/4', '%'], dtype=object)
+ array(['down'], dtype=object) array(['from'], dtype=object)
+ array(['the', '9', '%', 'level'], dtype=object)
+ array(['that'], dtype=object) array(['prevailed'], dtype=object)
+ array(['from'], dtype=object) array(['July'], dtype=object)
+ array(['through'], dtype=object) array(['September'], dtype=object)]",['leaving'],['PP' 'VP' 'ADVP' 'NP'],1
+"British Air officials said the airline 's chairman , Lord King , was concerned about news reports indicating that British Air might be willing to participate in a bid that included a lower purchase price and better investment terms for the British carrier .","[array(['British', 'Air', 'officials'], dtype=object)
+ array(['said'], dtype=object) array(['the', 'airline'], dtype=object)
+ array([""'s"", 'chairman'], dtype=object)
+ array(['Lord', 'King'], dtype=object) array(['was'], dtype=object)
+ array(['concerned'], dtype=object) array(['about'], dtype=object)
+ array(['news', 'reports'], dtype=object)
+ array(['indicating'], dtype=object) array(['that'], dtype=object)
+ array(['British', 'Air'], dtype=object)
+ array(['might', 'be'], dtype=object) array(['willing'], dtype=object)
+ array(['to', 'participate'], dtype=object) array(['in'], dtype=object)
+ array(['a', 'bid'], dtype=object) array(['that'], dtype=object)
+ array(['included'], dtype=object)
+ array(['a', 'lower', 'purchase', 'price'], dtype=object)
+ array(['better', 'investment', 'terms'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'British', 'carrier'], dtype=object)]",['to' 'participate'],['SBAR' 'VP' 'NP' 'PP'],1
+"Supply troubles were also on the minds of Treasury investors yesterday , who worried about the flood of new government securities coming next week .","[array(['Supply', 'troubles'], dtype=object) array(['were'], dtype=object)
+ array(['also'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'minds'], dtype=object) array(['of'], dtype=object)
+ array(['Treasury', 'investors'], dtype=object)
+ array(['yesterday'], dtype=object) array(['who'], dtype=object)
+ array(['worried'], dtype=object) array(['about'], dtype=object)
+ array(['the', 'flood'], dtype=object) array(['of'], dtype=object)
+ array(['new', 'government', 'securities'], dtype=object)
+ array(['coming'], dtype=object) array(['next', 'week'], dtype=object)]",['coming'],['PP' 'VP' 'NP' 'SBAR'],1
+"Mr. Belli , who was at Candlestick Park for the World Series Tuesday night , says he has hired civil engineers to check out his own mildly damaged building and to investigate the bridge collapse .","[array(['Mr.', 'Belli'], dtype=object) array(['who'], dtype=object)
+ array(['was'], dtype=object) array(['at'], dtype=object)
+ array(['Candlestick', 'Park'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'World', 'Series'], dtype=object)
+ array(['Tuesday', 'night'], dtype=object) array(['says'], dtype=object)
+ array(['he'], dtype=object) array(['has', 'hired'], dtype=object)
+ array(['civil', 'engineers'], dtype=object)
+ array(['to', 'check'], dtype=object) array(['out'], dtype=object)
+ array(['his', 'own', 'mildly', 'damaged', 'building'], dtype=object)
+ array(['to', 'investigate'], dtype=object)
+ array(['the', 'bridge', 'collapse'], dtype=object)]",['Candlestick' 'Park'],['PP' 'NP' 'VP' 'ADVP'],1
+"Before he was confirmed , Sullivan said he had `` reservations about any blanket prohibitions on medical research . ''","[array(['Before'], dtype=object) array(['he'], dtype=object)
+ array(['was', 'confirmed'], dtype=object)
+ array(['Sullivan'], dtype=object) array(['said'], dtype=object)
+ array(['he'], dtype=object) array(['had'], dtype=object)
+ array(['reservations'], dtype=object) array(['about'], dtype=object)
+ array(['any', 'blanket', 'prohibitions'], dtype=object)
+ array(['on'], dtype=object) array(['medical', 'research'], dtype=object)]",['medical' 'research'],['ADVP' 'NP' 'VP' 'PP'],1
+"In place of the games , ABC said it planned to broadcast next week 's episodes of its prime-time Wednesday and Thursday lineups , except for a one-hour special on the earthquake at 10 p.m. last night .","[array(['In'], dtype=object) array(['place'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'games'], dtype=object)
+ array(['ABC'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object)
+ array(['planned', 'to', 'broadcast'], dtype=object)
+ array(['next', 'week'], dtype=object)
+ array([""'s"", 'episodes'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'prime-time', 'Wednesday', 'and', 'Thursday', 'lineups'],
+       dtype=object)
+ array(['except'], dtype=object) array(['for'], dtype=object)
+ array(['a', 'one-hour', 'special'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'earthquake'], dtype=object)
+ array(['at'], dtype=object) array(['10', 'p.m.'], dtype=object)
+ array(['last', 'night'], dtype=object)]",['last' 'night'],['PP' 'NP' 'VP' 'ADVP'],1
+His initial offer indicated he needed to raise as much as 80 % of the takeover financing through the debt markets .,"[array(['His', 'initial', 'offer'], dtype=object)
+ array(['indicated'], dtype=object) array(['he'], dtype=object)
+ array(['needed', 'to', 'raise'], dtype=object)
+ array(['as', 'much', 'as', '80', '%'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'takeover', 'financing'], dtype=object)
+ array(['through'], dtype=object)
+ array(['the', 'debt', 'markets'], dtype=object)]",['His' 'initial' 'offer'],['ADVP' 'NP' 'VP' 'PP'],1
+"Although the notification guideline was n't carried out in this month 's coup attempt , some administration officials argue that it may have led to hesitation and uncertainty on the part of U.S. intelligence and military operatives in Panama .","[array(['Although'], dtype=object)
+ array(['the', 'notification', 'guideline'], dtype=object)
+ array(['was', ""n't"", 'carried'], dtype=object)
+ array(['out'], dtype=object) array(['in'], dtype=object)
+ array(['this', 'month'], dtype=object)
+ array([""'s"", 'coup', 'attempt'], dtype=object)
+ array(['some', 'administration', 'officials'], dtype=object)
+ array(['argue'], dtype=object) array(['that'], dtype=object)
+ array(['it'], dtype=object) array(['may', 'have', 'led'], dtype=object)
+ array(['to'], dtype=object)
+ array(['hesitation', 'and', 'uncertainty'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'part'], dtype=object)
+ array(['of'], dtype=object) array(['U.S.', 'intelligence'], dtype=object)
+ array(['military', 'operatives'], dtype=object)
+ array(['in'], dtype=object) array(['Panama'], dtype=object)]",['Panama'],['PP' 'NP' 'VP' 'SBAR'],1
+"In its ruling , the NRC said that because Seabrook will be allowed to charge rates sufficient to run the plant and make payments on past construction costs , consideration of the owners ' financial condition is pointless .","[array(['In'], dtype=object) array(['its', 'ruling'], dtype=object)
+ array(['the', 'NRC'], dtype=object) array(['said'], dtype=object)
+ array(['that'], dtype=object) array(['because'], dtype=object)
+ array(['Seabrook'], dtype=object)
+ array(['will', 'be', 'allowed', 'to', 'charge'], dtype=object)
+ array(['rates'], dtype=object) array(['sufficient'], dtype=object)
+ array(['to', 'run'], dtype=object) array(['the', 'plant'], dtype=object)
+ array(['make'], dtype=object) array(['payments'], dtype=object)
+ array(['on'], dtype=object)
+ array(['past', 'construction', 'costs'], dtype=object)
+ array(['consideration'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'owners'], dtype=object)
+ array([""'"", 'financial', 'condition'], dtype=object)
+ array(['is'], dtype=object) array(['pointless'], dtype=object)]",['its' 'ruling'],['SBAR' 'NP' 'PP' 'VP'],1
+"After four year of tinkering and $ 2.4 million in seed money , the board set up the new marketplace , titled it the Chicago Board Options Exchange , and named Sullivan its first president .","[array(['After'], dtype=object) array(['four', 'year'], dtype=object)
+ array(['of'], dtype=object) array(['tinkering'], dtype=object)
+ array(['$', '2.4', 'million'], dtype=object) array(['in'], dtype=object)
+ array(['seed', 'money'], dtype=object)
+ array(['the', 'board'], dtype=object) array(['set'], dtype=object)
+ array(['up'], dtype=object)
+ array(['the', 'new', 'marketplace'], dtype=object)
+ array(['titled'], dtype=object) array(['it'], dtype=object)
+ array(['the', 'Chicago', 'Board', 'Options', 'Exchange'], dtype=object)
+ array(['named'], dtype=object) array(['Sullivan'], dtype=object)
+ array(['its', 'first', 'president'], dtype=object)]",['in'],['VP' 'PP' 'ADVP' 'NP'],1
+"He added the airline is n't committed to going forward with any new bid , and has n't participated in bankers ' efforts to revive the transaction that collapsed .","[array(['He'], dtype=object) array(['added'], dtype=object)
+ array(['the', 'airline'], dtype=object)
+ array(['is', ""n't"", 'committed'], dtype=object)
+ array(['to'], dtype=object) array(['going'], dtype=object)
+ array(['forward'], dtype=object) array(['with'], dtype=object)
+ array(['any', 'new', 'bid'], dtype=object)
+ array(['has', ""n't"", 'participated'], dtype=object)
+ array(['in'], dtype=object) array(['bankers'], dtype=object)
+ array([""'"", 'efforts'], dtype=object)
+ array(['to', 'revive'], dtype=object)
+ array(['the', 'transaction'], dtype=object) array(['that'], dtype=object)
+ array(['collapsed'], dtype=object)]",['in'],['VP' 'PP' 'NP' 'ADVP'],1
+"Separately , Fannie Mae issued $ 400 million of Remic mortgage securities in 12 classes through First Boston Corp .","[array(['Separately'], dtype=object)
+ array(['Fannie', 'Mae'], dtype=object) array(['issued'], dtype=object)
+ array(['$', '400', 'million'], dtype=object) array(['of'], dtype=object)
+ array(['Remic', 'mortgage', 'securities'], dtype=object)
+ array(['in'], dtype=object) array(['12', 'classes'], dtype=object)
+ array(['through'], dtype=object)
+ array(['First', 'Boston', 'Corp'], dtype=object)]",['Remic' 'mortgage' 'securities'],['PP' 'NP' 'VP' 'ADVP'],1
+"Bush conceded that the requirement did n't affect a decision to lend only minor support to this month 's failed effort to oust Panama 's Noriega , aides said .","[array(['Bush'], dtype=object) array(['conceded'], dtype=object)
+ array(['that'], dtype=object) array(['the', 'requirement'], dtype=object)
+ array(['did', ""n't"", 'affect'], dtype=object)
+ array(['a', 'decision'], dtype=object)
+ array(['to', 'lend'], dtype=object)
+ array(['only', 'minor', 'support'], dtype=object)
+ array(['to'], dtype=object) array(['this', 'month'], dtype=object)
+ array([""'s"", 'failed', 'effort'], dtype=object)
+ array(['to', 'oust'], dtype=object) array(['Panama'], dtype=object)
+ array([""'s"", 'Noriega'], dtype=object) array(['aides'], dtype=object)
+ array(['said'], dtype=object)]",['only' 'minor' 'support'],['ADVP' 'NP' 'SBAR' 'PP'],1
+"In Monmouth , an important swing area , Republican freeholders now run on a slogan promising to keep the county `` clean and green . ''","[array(['In'], dtype=object) array(['Monmouth'], dtype=object)
+ array(['an', 'important', 'swing', 'area'], dtype=object)
+ array(['Republican', 'freeholders'], dtype=object)
+ array(['now'], dtype=object) array(['run'], dtype=object)
+ array(['on'], dtype=object) array(['a', 'slogan'], dtype=object)
+ array(['promising', 'to', 'keep'], dtype=object)
+ array(['the', 'county'], dtype=object)
+ array(['clean', 'and', 'green'], dtype=object)]",['now'],['NP' 'ADVP' 'VP' 'PP'],1
+"George Goodwin , an account manager at Royal Bank of Canada , adapted a Lotus Development Corp. program called Agenda to sort through international news wires .","[array(['George', 'Goodwin'], dtype=object)
+ array(['an', 'account', 'manager'], dtype=object)
+ array(['at'], dtype=object) array(['Royal', 'Bank'], dtype=object)
+ array(['of'], dtype=object) array(['Canada'], dtype=object)
+ array(['adapted'], dtype=object)
+ array(['a', 'Lotus', 'Development', 'Corp.', 'program'], dtype=object)
+ array(['called'], dtype=object) array(['Agenda'], dtype=object)
+ array(['to', 'sort'], dtype=object) array(['through'], dtype=object)
+ array(['international', 'news', 'wires'], dtype=object)]",['to' 'sort'],['PP' 'VP' 'ADVP' 'NP'],1
+`` The best odds are with your core franchise .,"[array(['The', 'best', 'odds'], dtype=object) array(['are'], dtype=object)
+ array(['with'], dtype=object)
+ array(['your', 'core', 'franchise'], dtype=object)]",['with'],['ADVP' 'PP' 'VP' 'ADJP'],1
+"`` The merger is proceeding according to plan , except as to the withdrawal of the Deloitte U.K. firm , '' he said .","[array(['The', 'merger'], dtype=object)
+ array(['is', 'proceeding'], dtype=object)
+ array(['according'], dtype=object) array(['to'], dtype=object)
+ array(['plan'], dtype=object) array(['except'], dtype=object)
+ array(['as'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'withdrawal'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Deloitte', 'U.K.', 'firm'], dtype=object)
+ array(['he'], dtype=object) array(['said'], dtype=object)]",['of'],['ADJP' 'PP' 'SBAR' 'NP'],1
+"Now , he said , a slowdown in economic activity has slackened demand .","[array(['Now'], dtype=object) array(['he'], dtype=object)
+ array(['said'], dtype=object) array(['a', 'slowdown'], dtype=object)
+ array(['in'], dtype=object) array(['economic', 'activity'], dtype=object)
+ array(['has', 'slackened'], dtype=object) array(['demand'], dtype=object)]",['said'],['SBAR' 'VP' 'PP' 'NP'],1
+"He expects real GNP growth of only 2.1 % for the quarter , noting a wider trade deficit , slower capital and government spending and the lower inventory figures .","[array(['He'], dtype=object) array(['expects'], dtype=object)
+ array(['real', 'GNP', 'growth'], dtype=object)
+ array(['of'], dtype=object) array(['only', '2.1', '%'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'quarter'], dtype=object)
+ array(['noting'], dtype=object)
+ array(['a', 'wider', 'trade', 'deficit'], dtype=object)
+ array(['slower', 'capital', 'and', 'government', 'spending'], dtype=object)
+ array(['the', 'lower', 'inventory', 'figures'], dtype=object)]",['the' 'lower' 'inventory' 'figures'],['SBAR' 'NP' 'VP' 'PP'],1
+"The first effects are , of course , negative as work is disrupted and people lose income and cut spending .","[array(['The', 'first', 'effects'], dtype=object)
+ array(['are'], dtype=object) array(['of'], dtype=object)
+ array(['course'], dtype=object) array(['negative'], dtype=object)
+ array(['as'], dtype=object) array(['work'], dtype=object)
+ array(['is', 'disrupted'], dtype=object) array(['people'], dtype=object)
+ array(['lose'], dtype=object) array(['income'], dtype=object)
+ array(['cut'], dtype=object) array(['spending'], dtype=object)]",['negative'],['VP' 'ADJP' 'PP' 'NP'],1
+"It was downhill from there , however .","[array(['It'], dtype=object) array(['was'], dtype=object)
+ array(['downhill'], dtype=object) array(['from'], dtype=object)
+ array(['there'], dtype=object) array(['however'], dtype=object)]",['downhill'],['ADJP' 'ADVP' 'VP' 'NP'],1
+"-LRB- After tripling in size in the past five years , index funds now hold about 20 % of the stock owned by pension funds . -RRB-","[array(['After'], dtype=object) array(['tripling'], dtype=object)
+ array(['in'], dtype=object) array(['size'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'past', 'five', 'years'], dtype=object)
+ array(['index', 'funds'], dtype=object) array(['now'], dtype=object)
+ array(['hold'], dtype=object) array(['about', '20', '%'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'stock'], dtype=object)
+ array(['owned'], dtype=object) array(['by'], dtype=object)
+ array(['pension', 'funds'], dtype=object)]",['pension' 'funds'],['VP' 'NP' 'ADJP' 'PP'],1
+"But though `` people in town may ask why Guber needs Peters , it 's good to have a partner , and obviously the chemistry works , '' says Steven Tisch , a producer who once worked for Mr. Guber .","[array(['though'], dtype=object) array(['people'], dtype=object)
+ array(['in'], dtype=object) array(['town'], dtype=object)
+ array(['may', 'ask'], dtype=object) array(['why'], dtype=object)
+ array(['Guber'], dtype=object) array(['needs'], dtype=object)
+ array(['Peters'], dtype=object) array(['it'], dtype=object)
+ array([""'s""], dtype=object) array(['good'], dtype=object)
+ array(['to', 'have'], dtype=object) array(['a', 'partner'], dtype=object)
+ array(['obviously'], dtype=object)
+ array(['the', 'chemistry'], dtype=object) array(['works'], dtype=object)
+ array(['says'], dtype=object) array(['Steven', 'Tisch'], dtype=object)
+ array(['a', 'producer'], dtype=object) array(['who'], dtype=object)
+ array(['once'], dtype=object) array(['worked'], dtype=object)
+ array(['for'], dtype=object) array(['Mr.', 'Guber'], dtype=object)]",['for'],['SBAR' 'PP' 'NP' 'ADJP'],1
+"That way , parents will reduce borrowings and outlays from current income when the time comes to pay tuition .","[array(['That', 'way'], dtype=object) array(['parents'], dtype=object)
+ array(['will', 'reduce'], dtype=object)
+ array(['borrowings'], dtype=object) array(['outlays'], dtype=object)
+ array(['from'], dtype=object) array(['current', 'income'], dtype=object)
+ array(['when'], dtype=object) array(['the', 'time'], dtype=object)
+ array(['comes'], dtype=object) array(['to', 'pay'], dtype=object)
+ array(['tuition'], dtype=object)]",['the' 'time'],['VP' 'NP' 'ADJP' 'PP'],1
+"The tax business still provides about 70 % of earnings , on about 50 % of sales .","[array(['The', 'tax', 'business'], dtype=object)
+ array(['still'], dtype=object) array(['provides'], dtype=object)
+ array(['about', '70', '%'], dtype=object) array(['of'], dtype=object)
+ array(['earnings'], dtype=object) array(['on'], dtype=object)
+ array(['about', '50', '%'], dtype=object) array(['of'], dtype=object)
+ array(['sales'], dtype=object)]",['provides'],['PP' 'VP' 'ADVP' 'NP'],1
+"Unlike Mr. Honecker , who tended to lecture people about socialist values , Mr. Krenz enjoys asking questions .","[array(['Unlike'], dtype=object) array(['Mr.', 'Honecker'], dtype=object)
+ array(['who'], dtype=object)
+ array(['tended', 'to', 'lecture'], dtype=object)
+ array(['people'], dtype=object) array(['about'], dtype=object)
+ array(['socialist', 'values'], dtype=object)
+ array(['Mr.', 'Krenz'], dtype=object)
+ array(['enjoys', 'asking'], dtype=object)
+ array(['questions'], dtype=object)]",['questions'],['PP' 'NP' 'VP' 'ADJP'],1
+"Standard & Poor 's 500-Stock Index rose 0.60 to 341.76 , the Dow Jones Equity Market Index rose 0.71 to 320.54 and the New York Stock Exchange Composite Index gained 0.43 to 189.32 .","[array(['Standard', '&', 'Poor'], dtype=object)
+ array([""'s"", '500-Stock', 'Index'], dtype=object)
+ array(['rose'], dtype=object) array(['0.60'], dtype=object)
+ array(['to'], dtype=object) array(['341.76'], dtype=object)
+ array(['the', 'Dow', 'Jones', 'Equity', 'Market', 'Index'], dtype=object)
+ array(['rose'], dtype=object) array(['0.71'], dtype=object)
+ array(['to'], dtype=object) array(['320.54'], dtype=object)
+ array(['the', 'New', 'York', 'Stock', 'Exchange', 'Composite', 'Index'],
+       dtype=object)
+ array(['gained'], dtype=object) array(['0.43'], dtype=object)
+ array(['to'], dtype=object) array(['189.32'], dtype=object)]",['to'],['NP' 'PP' 'VP' 'ADJP'],1
+Mr. Cawthorn said the profit growth in the latest quarter was due to the sale of two Rorer drugs .,"[array(['Mr.', 'Cawthorn'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'profit', 'growth'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'latest', 'quarter'], dtype=object)
+ array(['was'], dtype=object) array(['due'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'sale'], dtype=object)
+ array(['of'], dtype=object)
+ array(['two', 'Rorer', 'drugs'], dtype=object)]",['of'],['NP' 'PP' 'SBAR' 'VP'],1
+"The latest developments in cold fusion research were presented in 24 reports delivered at the fall meeting here of the Electrochemical Society , the first scientific meeting in five months to hear formal reports on cold fusion experiments .","[array(['The', 'latest', 'developments'], dtype=object)
+ array(['in'], dtype=object)
+ array(['cold', 'fusion', 'research'], dtype=object)
+ array(['were', 'presented'], dtype=object) array(['in'], dtype=object)
+ array(['24', 'reports'], dtype=object) array(['delivered'], dtype=object)
+ array(['at'], dtype=object)
+ array(['the', 'fall', 'meeting'], dtype=object)
+ array(['here'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Electrochemical', 'Society'], dtype=object)
+ array(['the', 'first', 'scientific', 'meeting'], dtype=object)
+ array(['in'], dtype=object) array(['five', 'months'], dtype=object)
+ array(['to', 'hear'], dtype=object)
+ array(['formal', 'reports'], dtype=object) array(['on'], dtype=object)
+ array(['cold', 'fusion', 'experiments'], dtype=object)]",['in'],['ADVP' 'PP' 'NP' 'VP'],1
+"The UEP declines to comment , but the group 's attorney , Alfred Frawley , says the group 's actions are motivated solely by `` health concerns . ''","[array(['The', 'UEP'], dtype=object)
+ array(['declines', 'to', 'comment'], dtype=object)
+ array(['the', 'group'], dtype=object)
+ array([""'s"", 'attorney'], dtype=object)
+ array(['Alfred', 'Frawley'], dtype=object) array(['says'], dtype=object)
+ array(['the', 'group'], dtype=object)
+ array([""'s"", 'actions'], dtype=object)
+ array(['are', 'motivated'], dtype=object) array(['solely'], dtype=object)
+ array(['by'], dtype=object) array(['health', 'concerns'], dtype=object)]",['by'],['VP' 'PP' 'ADVP' 'NP'],1
+She is almost cavalier about the possibility Vietnam 's reforms will create rivals on her home turf .,"[array(['She'], dtype=object) array(['is'], dtype=object)
+ array(['almost', 'cavalier'], dtype=object)
+ array(['about'], dtype=object)
+ array(['the', 'possibility'], dtype=object)
+ array(['Vietnam'], dtype=object) array([""'s"", 'reforms'], dtype=object)
+ array(['will', 'create'], dtype=object) array(['rivals'], dtype=object)
+ array(['on'], dtype=object) array(['her', 'home', 'turf'], dtype=object)]",['is'],['ADJP' 'VP' 'NP' 'PP'],1
+That debt is part of the $ 2.1 billion of Holiday debt that Bass PLC of Britain said it would retire or assume when it agreed to buy the Holiday Inn business in August .,"[array(['That', 'debt'], dtype=object) array(['is'], dtype=object)
+ array(['part'], dtype=object) array(['of'], dtype=object)
+ array(['the', '$', '2.1', 'billion'], dtype=object)
+ array(['of'], dtype=object) array(['Holiday', 'debt'], dtype=object)
+ array(['that'], dtype=object) array(['Bass', 'PLC'], dtype=object)
+ array(['of'], dtype=object) array(['Britain'], dtype=object)
+ array(['said'], dtype=object) array(['it'], dtype=object)
+ array(['would', 'retire', 'or', 'assume'], dtype=object)
+ array(['when'], dtype=object) array(['it'], dtype=object)
+ array(['agreed', 'to', 'buy'], dtype=object)
+ array(['the', 'Holiday', 'Inn', 'business'], dtype=object)
+ array(['in'], dtype=object) array(['August'], dtype=object)]",['of'],['NP' 'PP' 'ADVP' 'VP'],1
+"But real-estate experts and brokers said the quake undoubtedly will drag down prices in neighborhoods built on less stable ground , especially in the Bay Area .","[array(['real-estate', 'experts', 'and', 'brokers'], dtype=object)
+ array(['said'], dtype=object) array(['the', 'quake'], dtype=object)
+ array(['undoubtedly'], dtype=object)
+ array(['will', 'drag'], dtype=object) array(['down'], dtype=object)
+ array(['prices'], dtype=object) array(['in'], dtype=object)
+ array(['neighborhoods'], dtype=object) array(['built'], dtype=object)
+ array(['on'], dtype=object)
+ array(['less', 'stable', 'ground'], dtype=object)
+ array(['especially', 'in'], dtype=object)
+ array(['the', 'Bay', 'Area'], dtype=object)]",['undoubtedly'],['NP' 'ADVP' 'PRT' 'PP'],1
+"Valley National Corp. reported a third-quarter net loss of $ 72.2 million , or $ 3.65 a share , and suspended its quarterly dividend because of potential losses on its Arizona real estate holdings .","[array(['Valley', 'National', 'Corp.'], dtype=object)
+ array(['reported'], dtype=object)
+ array(['a', 'third-quarter', 'net', 'loss'], dtype=object)
+ array(['of'], dtype=object) array(['$', '72.2', 'million'], dtype=object)
+ array(['$', '3.65'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['suspended'], dtype=object)
+ array(['its', 'quarterly', 'dividend'], dtype=object)
+ array(['because', 'of'], dtype=object)
+ array(['potential', 'losses'], dtype=object) array(['on'], dtype=object)
+ array(['its', 'Arizona', 'real', 'estate', 'holdings'], dtype=object)]",['a' 'share'],['SBAR' 'NP' 'PP' 'VP'],1
+"The program , which will be shipped in January 1990 , runs on the Unix operating system .","[array(['The', 'program'], dtype=object) array(['which'], dtype=object)
+ array(['will', 'be', 'shipped'], dtype=object)
+ array(['in'], dtype=object) array(['January', '1990'], dtype=object)
+ array(['runs'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'Unix', 'operating', 'system'], dtype=object)]",['which'],['SBAR' 'NP' 'PP' 'VP'],1
+"The sale of the company 's cable franchise brought an after-tax gain of $ 193.3 million , part of which will be used to reduce debt .","[array(['The', 'sale'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array([""'s"", 'cable', 'franchise'], dtype=object)
+ array(['brought'], dtype=object)
+ array(['an', 'after-tax', 'gain'], dtype=object)
+ array(['of'], dtype=object)
+ array(['$', '193.3', 'million'], dtype=object)
+ array(['part'], dtype=object) array(['of'], dtype=object)
+ array(['which'], dtype=object)
+ array(['will', 'be', 'used'], dtype=object)
+ array(['to', 'reduce'], dtype=object) array(['debt'], dtype=object)]",['part'],['ADJP' 'NP' 'SBAR' 'PP'],1
+In areas where the freeway made giant concrete sandwiches of itself lie cars that police say have been flattened into foot-thick slabs .,"[array(['In'], dtype=object) array(['areas'], dtype=object)
+ array(['where'], dtype=object) array(['the', 'freeway'], dtype=object)
+ array(['made'], dtype=object)
+ array(['giant', 'concrete', 'sandwiches'], dtype=object)
+ array(['of'], dtype=object) array(['itself'], dtype=object)
+ array(['lie'], dtype=object) array(['cars'], dtype=object)
+ array(['that'], dtype=object) array(['police'], dtype=object)
+ array(['say'], dtype=object)
+ array(['have', 'been', 'flattened'], dtype=object)
+ array(['into'], dtype=object)
+ array(['foot-thick', 'slabs'], dtype=object)]",['itself'],['VP' 'NP' 'PP' 'ADVP'],1
+Nearly 36 % ranked housing problems as their most serious unmet legal need .,"[array(['Nearly', '36', '%'], dtype=object)
+ array(['ranked'], dtype=object)
+ array(['housing', 'problems'], dtype=object) array(['as'], dtype=object)
+ array(['their', 'most', 'serious', 'unmet', 'legal', 'need'], dtype=object)]",['housing' 'problems'],['ADVP' 'NP' 'VP' 'PP'],1
+"As of last weekend , a dozen labs also have reported measuring `` excess '' heat from similar electrolytic experiments , although amounts of such heat vary widely .","[array(['As'], dtype=object) array(['of'], dtype=object)
+ array(['last', 'weekend'], dtype=object)
+ array(['a', 'dozen', 'labs'], dtype=object) array(['also'], dtype=object)
+ array(['have', 'reported', 'measuring'], dtype=object)
+ array(['``', 'excess', ""''"", 'heat'], dtype=object)
+ array(['from'], dtype=object)
+ array(['similar', 'electrolytic', 'experiments'], dtype=object)
+ array(['although'], dtype=object) array(['amounts'], dtype=object)
+ array(['of'], dtype=object) array(['such', 'heat'], dtype=object)
+ array(['vary'], dtype=object) array(['widely'], dtype=object)]","['``' 'excess' ""''"" 'heat']",['ADVP' 'NP' 'PP' 'VP'],1
+"Then a political novice , she stepped into a whirl of `` pro-choice '' marches , house parties and fund-raisers .","[array(['Then'], dtype=object)
+ array(['a', 'political', 'novice'], dtype=object)
+ array(['she'], dtype=object) array(['stepped'], dtype=object)
+ array(['into'], dtype=object) array(['a', 'whirl'], dtype=object)
+ array(['of'], dtype=object)
+ array(['``', 'pro-choice', ""''"", 'marches'], dtype=object)
+ array(['house', 'parties'], dtype=object)
+ array(['fund-raisers'], dtype=object)]",['a' 'whirl'],['VP' 'NP' 'PP' 'ADJP'],1
+UAL 's advisers have indicated previously that it may take a while to come forward with a revised plan since they want to have firm bank commitments before launching a new bid .,"[array(['UAL'], dtype=object) array([""'s"", 'advisers'], dtype=object)
+ array(['have', 'indicated'], dtype=object)
+ array(['previously'], dtype=object) array(['that'], dtype=object)
+ array(['it'], dtype=object) array(['may', 'take'], dtype=object)
+ array(['a', 'while'], dtype=object) array(['to', 'come'], dtype=object)
+ array(['forward'], dtype=object) array(['with'], dtype=object)
+ array(['a', 'revised', 'plan'], dtype=object)
+ array(['since'], dtype=object) array(['they'], dtype=object)
+ array(['want', 'to', 'have'], dtype=object)
+ array(['firm', 'bank', 'commitments'], dtype=object)
+ array(['before'], dtype=object) array(['launching'], dtype=object)
+ array(['a', 'new', 'bid'], dtype=object)]",['launching'],['NP' 'VP' 'ADVP' 'PP'],1
+"250 million Dutch guilders of 7 3\/4 % bonds due Nov. 15 , 1999 , priced at 101 1\/4 to yield 7.57 % at issue price and 7.86 % less full fees , via AMRO Bank .","[array(['250', 'million', 'Dutch', 'guilders'], dtype=object)
+ array(['of'], dtype=object)
+ array(['7', '3\\/4', '%', 'bonds'], dtype=object)
+ array(['due'], dtype=object)
+ array(['Nov.', '15', ',', '1999'], dtype=object)
+ array(['priced'], dtype=object) array(['at'], dtype=object)
+ array(['101', '1\\/4'], dtype=object)
+ array(['to', 'yield'], dtype=object) array(['7.57', '%'], dtype=object)
+ array(['at'], dtype=object) array(['issue', 'price'], dtype=object)
+ array(['7.86', '%'], dtype=object) array(['less'], dtype=object)
+ array(['full', 'fees'], dtype=object) array(['via'], dtype=object)
+ array(['AMRO', 'Bank'], dtype=object)]",['7.86' '%'],['VP' 'NP' 'PP' 'ADVP'],1
+"The following were among yesterday 's offerings and pricings in the U.S. and non-U.S. capital markets , with terms and syndicate manager , as compiled by Dow Jones Capital Markets Report :","[array(['The', 'following'], dtype=object) array(['were'], dtype=object)
+ array(['among'], dtype=object) array(['yesterday'], dtype=object)
+ array([""'s"", 'offerings', 'and', 'pricings'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'U.S.', 'and', 'non-U.S.', 'capital', 'markets'],
+       dtype=object)
+ array(['with'], dtype=object)
+ array(['terms', 'and', 'syndicate', 'manager'], dtype=object)
+ array(['as'], dtype=object) array(['compiled'], dtype=object)
+ array(['by'], dtype=object)
+ array(['Dow', 'Jones', 'Capital', 'Markets', 'Report'], dtype=object)]",['in'],['NP' 'PP' 'VP' 'ADJP'],1
+"Bell Atlantic Corp. and Southern New England Telecommunications posted strong profit gains for the third quarter , while Nynex Corp. , Pacific Telesis Group and U S West Inc. reported earnings declines for the period .","[array(['Bell', 'Atlantic', 'Corp.'], dtype=object)
+ array(['Southern', 'New', 'England', 'Telecommunications'], dtype=object)
+ array(['posted'], dtype=object)
+ array(['strong', 'profit', 'gains'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'third', 'quarter'], dtype=object)
+ array(['while'], dtype=object) array(['Nynex', 'Corp.'], dtype=object)
+ array(['Pacific', 'Telesis', 'Group'], dtype=object)
+ array(['U', 'S', 'West', 'Inc.'], dtype=object)
+ array(['reported'], dtype=object)
+ array(['earnings', 'declines'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'period'], dtype=object)]",['Southern' 'New' 'England' 'Telecommunications'],['ADJP' 'NP' 'PP' 'VP'],1
+"Mr. Guber and Mr. Peters planned to run the nearly dormant MGM studio , and the two even tried to interest Warner Bros . ' President Terry Semel in becoming a partner after he advised them on the deal .","[array(['Mr.', 'Guber'], dtype=object)
+ array(['Mr.', 'Peters'], dtype=object)
+ array(['planned', 'to', 'run'], dtype=object)
+ array(['the', 'nearly', 'dormant', 'MGM', 'studio'], dtype=object)
+ array(['the', 'two'], dtype=object) array(['even'], dtype=object)
+ array(['tried', 'to', 'interest'], dtype=object)
+ array(['Warner', 'Bros'], dtype=object)
+ array(['President', 'Terry', 'Semel'], dtype=object)
+ array(['in'], dtype=object) array(['becoming'], dtype=object)
+ array(['a', 'partner'], dtype=object) array(['after'], dtype=object)
+ array(['he'], dtype=object) array(['advised'], dtype=object)
+ array(['them'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'deal'], dtype=object)]",['them'],['VP' 'NP' 'ADJP' 'PP'],1
+Tandem 's pricing is just as aggressive .,"[array(['Tandem'], dtype=object) array([""'s"", 'pricing'], dtype=object)
+ array(['is'], dtype=object)
+ array(['just', 'as', 'aggressive'], dtype=object)]",['is'],['NP' 'VP' 'PP' 'ADVP'],1
+"The House approved an $ 837 million aid package for Poland and Hungary , nearly double what Bush had requested .","[array(['The', 'House'], dtype=object) array(['approved'], dtype=object)
+ array(['an', '$', '837', 'million', 'aid', 'package'], dtype=object)
+ array(['for'], dtype=object)
+ array(['Poland', 'and', 'Hungary'], dtype=object)
+ array(['nearly', 'double', 'what'], dtype=object)
+ array(['Bush'], dtype=object) array(['had', 'requested'], dtype=object)]",['had' 'requested'],['SBAR' 'VP' 'NP' 'PP'],1
+"In developing that theme at Interpublic Group of Cos . ' Lintas : New York unit , account supervisor Lisa Buksbaum says she made a `` couple of phone calls '' to Dallas ad friends and reported her `` findings '' to a team of writers .","[array(['In'], dtype=object) array(['developing'], dtype=object)
+ array(['that', 'theme'], dtype=object) array(['at'], dtype=object)
+ array(['Interpublic', 'Group'], dtype=object) array(['of'], dtype=object)
+ array(['Cos', '.', ""'"", 'Lintas'], dtype=object)
+ array(['New', 'York', 'unit'], dtype=object)
+ array(['account', 'supervisor', 'Lisa', 'Buksbaum'], dtype=object)
+ array(['says'], dtype=object) array(['she'], dtype=object)
+ array(['made'], dtype=object) array(['a', '``', 'couple'], dtype=object)
+ array(['of'], dtype=object) array(['phone', 'calls'], dtype=object)
+ array(['to'], dtype=object)
+ array(['Dallas', 'ad', 'friends'], dtype=object)
+ array(['reported'], dtype=object)
+ array(['her', '``', 'findings'], dtype=object)
+ array(['to'], dtype=object) array(['a', 'team'], dtype=object)
+ array(['of'], dtype=object) array(['writers'], dtype=object)]",['Interpublic' 'Group'],['ADVP' 'NP' 'VP' 'PP'],1
+"The ground along the Embarcadero the street that skirts the city 's eastern boundary and piers -- dropped six inches after the quake , wreaking major damage to at least one of the piers .","[array(['The', 'ground'], dtype=object) array(['along'], dtype=object)
+ array(['the', 'Embarcadero'], dtype=object)
+ array(['the', 'street'], dtype=object) array(['that'], dtype=object)
+ array(['skirts'], dtype=object) array(['the', 'city'], dtype=object)
+ array([""'s"", 'eastern', 'boundary', 'and', 'piers'], dtype=object)
+ array(['dropped'], dtype=object) array(['six', 'inches'], dtype=object)
+ array(['after'], dtype=object) array(['the', 'quake'], dtype=object)
+ array(['wreaking'], dtype=object)
+ array(['major', 'damage'], dtype=object) array(['to'], dtype=object)
+ array(['at', 'least', 'one'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'piers'], dtype=object)]",['The' 'ground'],['ADVP' 'NP' 'VP' 'PP'],1
+"`` Under the banner that proclaims the ` renewal of socialism , ' '' he said , `` forces are at work that are striving to eliminate socialism . ''","[array(['Under'], dtype=object) array(['the', 'banner'], dtype=object)
+ array(['that'], dtype=object) array(['proclaims'], dtype=object)
+ array(['the', '`', 'renewal'], dtype=object) array(['of'], dtype=object)
+ array(['socialism'], dtype=object) array(['he'], dtype=object)
+ array(['said'], dtype=object) array(['forces'], dtype=object)
+ array(['are'], dtype=object) array(['at'], dtype=object)
+ array(['work'], dtype=object) array(['that'], dtype=object)
+ array(['are', 'striving', 'to', 'eliminate'], dtype=object)
+ array(['socialism'], dtype=object)]",['socialism'],['ADVP' 'NP' 'PP' 'VP'],1
+"And , in addition to a crack team of sailors , Mr. Isler has lined up some real brass to help him finance the syndicate .","[array(['in'], dtype=object) array(['addition'], dtype=object)
+ array(['to'], dtype=object) array(['a', 'crack', 'team'], dtype=object)
+ array(['of'], dtype=object) array(['sailors'], dtype=object)
+ array(['Mr.', 'Isler'], dtype=object)
+ array(['has', 'lined'], dtype=object) array(['up'], dtype=object)
+ array(['some', 'real', 'brass'], dtype=object)
+ array(['to', 'help'], dtype=object) array(['him'], dtype=object)
+ array(['finance'], dtype=object)
+ array(['the', 'syndicate'], dtype=object)]",['has' 'lined'],['PP' 'VP' 'NP' 'ADVP'],1
+"Late yesterday afternoon , DDB Needham executives were scrambling to figure out what to do about a new business presentation that had been scheduled for today , a spokesman said .","[array(['Late', 'yesterday', 'afternoon'], dtype=object)
+ array(['DDB', 'Needham', 'executives'], dtype=object)
+ array(['were', 'scrambling', 'to', 'figure'], dtype=object)
+ array(['out'], dtype=object) array(['what'], dtype=object)
+ array(['to', 'do'], dtype=object) array(['about'], dtype=object)
+ array(['a', 'new', 'business', 'presentation'], dtype=object)
+ array(['that'], dtype=object)
+ array(['had', 'been', 'scheduled'], dtype=object)
+ array(['for'], dtype=object) array(['today'], dtype=object)
+ array(['a', 'spokesman'], dtype=object) array(['said'], dtype=object)]",['DDB' 'Needham' 'executives'],['PP' 'NP' 'VP' 'ADVP'],1
+"A New York Stock Exchange arbitration panel ordered Dean Witter to pay $ 404,294 in back bonuses to William Kelly , the company 's former head of high-yield , high-risk junk-bond trading and sales .","[array(['A', 'New', 'York', 'Stock', 'Exchange', 'arbitration', 'panel'],
+       dtype=object)
+ array(['ordered'], dtype=object) array(['Dean', 'Witter'], dtype=object)
+ array(['to', 'pay'], dtype=object) array(['$', '404,294'], dtype=object)
+ array(['in'], dtype=object) array(['back', 'bonuses'], dtype=object)
+ array(['to'], dtype=object) array(['William', 'Kelly'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array([""'s"", 'former', 'head'], dtype=object) array(['of'], dtype=object)
+ array(['high-yield', ',', 'high-risk', 'junk-bond', 'trading', 'and',
+        'sales'], dtype=object)                                       ]","['$' '404,294']",['SBAR' 'NP' 'PP' 'VP'],1
+"Still , consultants and industry executives said the products could help make manufacturing operations more efficient , and provide a boost to the computer-integrated-manufacturing market -- a market that Yankee Group , a research firm , has said may double to $ 40 billion by 1993 .","[array(['Still'], dtype=object) array(['consultants'], dtype=object)
+ array(['industry', 'executives'], dtype=object)
+ array(['said'], dtype=object) array(['the', 'products'], dtype=object)
+ array(['could', 'help', 'make'], dtype=object)
+ array(['manufacturing', 'operations'], dtype=object)
+ array(['more', 'efficient'], dtype=object)
+ array(['provide'], dtype=object) array(['a', 'boost'], dtype=object)
+ array(['to'], dtype=object)
+ array(['the', 'computer-integrated-manufacturing', 'market'], dtype=object)
+ array(['a', 'market'], dtype=object) array(['that'], dtype=object)
+ array(['Yankee', 'Group'], dtype=object)
+ array(['a', 'research', 'firm'], dtype=object)
+ array(['has', 'said'], dtype=object)
+ array(['may', 'double'], dtype=object) array(['to'], dtype=object)
+ array(['$', '40', 'billion'], dtype=object) array(['by'], dtype=object)
+ array(['1993'], dtype=object)]",['consultants'],['PP' 'NP' 'VP' 'ADVP'],1
+"When something undeniably nasty happens , a few euphemisms are deployed to simply make it disappear , much as a fresh grave may be covered by a blanket of flowers .","[array(['When'], dtype=object) array(['something'], dtype=object)
+ array(['undeniably', 'nasty'], dtype=object)
+ array(['happens'], dtype=object)
+ array(['a', 'few', 'euphemisms'], dtype=object)
+ array(['are', 'deployed'], dtype=object)
+ array(['to', 'simply', 'make'], dtype=object) array(['it'], dtype=object)
+ array(['disappear'], dtype=object) array(['much'], dtype=object)
+ array(['as'], dtype=object) array(['a', 'fresh', 'grave'], dtype=object)
+ array(['may', 'be', 'covered'], dtype=object) array(['by'], dtype=object)
+ array(['a', 'blanket'], dtype=object) array(['of'], dtype=object)
+ array(['flowers'], dtype=object)]",['a' 'few' 'euphemisms'],['PP' 'NP' 'VP' 'SBAR'],1
+"One fan , seated several rows in front of the open , upper-deck auxiliary press section where I was stationed , faced the assembled newsies and laughingly shouted , `` We arranged that just for you guys ! ''","[array(['One', 'fan'], dtype=object) array(['seated'], dtype=object)
+ array(['several', 'rows'], dtype=object) array(['in'], dtype=object)
+ array(['front'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'open', ',', 'upper-deck', 'auxiliary', 'press', 'section'],
+       dtype=object)
+ array(['where'], dtype=object) array(['I'], dtype=object)
+ array(['was', 'stationed'], dtype=object) array(['faced'], dtype=object)
+ array(['the', 'assembled', 'newsies'], dtype=object)
+ array(['laughingly', 'shouted'], dtype=object)
+ array(['We'], dtype=object) array(['arranged'], dtype=object)
+ array(['that'], dtype=object) array(['just'], dtype=object)
+ array(['for'], dtype=object) array(['you', 'guys'], dtype=object)]",['We'],['SBAR' 'NP' 'PP' 'VP'],1
+"`` A day of reckoning is coming where we think the market will place a high premium on the highest-quality debt issues , and therefore we think the best debt investment is U.S. government bonds , '' says Craig Corcoran of Davis\/Zweig Futures Inc. , an investment advisory firm .","[array(['A', 'day'], dtype=object) array(['of'], dtype=object)
+ array(['reckoning'], dtype=object) array(['is', 'coming'], dtype=object)
+ array(['where'], dtype=object) array(['we'], dtype=object)
+ array(['think'], dtype=object) array(['the', 'market'], dtype=object)
+ array(['will', 'place'], dtype=object)
+ array(['a', 'high', 'premium'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'highest-quality', 'debt', 'issues'], dtype=object)
+ array(['therefore'], dtype=object) array(['we'], dtype=object)
+ array(['think'], dtype=object)
+ array(['the', 'best', 'debt', 'investment'], dtype=object)
+ array(['is'], dtype=object)
+ array(['U.S.', 'government', 'bonds'], dtype=object)
+ array(['says'], dtype=object) array(['Craig', 'Corcoran'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Davis\\/Zweig', 'Futures', 'Inc.'], dtype=object)
+ array(['an', 'investment', 'advisory', 'firm'], dtype=object)]",['we'],['ADVP' 'NP' 'PP' 'VP'],1
+"In the current-coupon sector , a shift in the Treasury yield curve resulting from the better performance of long-dated issues over short-dated securities hurt major coupons because it will become more difficult to structure new derivative securities offerings .","[array(['In'], dtype=object)
+ array(['the', 'current-coupon', 'sector'], dtype=object)
+ array(['a', 'shift'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'Treasury', 'yield', 'curve'], dtype=object)
+ array(['resulting'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'better', 'performance'], dtype=object)
+ array(['of'], dtype=object) array(['long-dated', 'issues'], dtype=object)
+ array(['over'], dtype=object)
+ array(['short-dated', 'securities'], dtype=object)
+ array(['hurt'], dtype=object) array(['major', 'coupons'], dtype=object)
+ array(['because'], dtype=object) array(['it'], dtype=object)
+ array(['will', 'become'], dtype=object)
+ array(['more', 'difficult'], dtype=object)
+ array(['to', 'structure'], dtype=object)
+ array(['new', 'derivative', 'securities', 'offerings'], dtype=object)]",['it'],['VP' 'NP' 'SBAR' 'ADVP'],1
+You had to have been blind not to see the scenario there for what it was and is and will continue to be for months and even years -- a part of South Carolina that has sustained a blow that the Red Cross expects will cost that organization alone some $ 38 million .,"[array(['You'], dtype=object)
+ array(['had', 'to', 'have', 'been'], dtype=object)
+ array(['blind'], dtype=object) array(['to', 'see'], dtype=object)
+ array(['the', 'scenario'], dtype=object) array(['there'], dtype=object)
+ array(['for'], dtype=object) array(['what'], dtype=object)
+ array(['it'], dtype=object) array(['was'], dtype=object)
+ array(['is'], dtype=object)
+ array(['will', 'continue', 'to', 'be'], dtype=object)
+ array(['for'], dtype=object) array(['months'], dtype=object)
+ array(['and', 'even'], dtype=object) array(['years'], dtype=object)
+ array(['a', 'part'], dtype=object) array(['of'], dtype=object)
+ array(['South', 'Carolina'], dtype=object) array(['that'], dtype=object)
+ array(['has', 'sustained'], dtype=object)
+ array(['a', 'blow'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'Red', 'Cross'], dtype=object)
+ array(['expects'], dtype=object) array(['will', 'cost'], dtype=object)
+ array(['that', 'organization'], dtype=object)
+ array(['alone'], dtype=object)
+ array(['some', '$', '38', 'million'], dtype=object)]",['expects'],['NP' 'VP' 'SBAR' 'PP'],1
+Many of us are suckers .,"[array(['Many'], dtype=object) array(['of'], dtype=object)
+ array(['us'], dtype=object) array(['are'], dtype=object)
+ array(['suckers'], dtype=object)]",['suckers'],['ADJP' 'NP' 'ADVP' 'PP'],1
+"In recent years , carriers have become much more picky about who can fly on the cheap .","[array(['In'], dtype=object) array(['recent', 'years'], dtype=object)
+ array(['carriers'], dtype=object) array(['have', 'become'], dtype=object)
+ array(['much', 'more', 'picky'], dtype=object)
+ array(['about'], dtype=object) array(['who'], dtype=object)
+ array(['can', 'fly'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'cheap'], dtype=object)]",['have' 'become'],['SBAR' 'VP' 'PP' 'NP'],1
+"The results include $ 106 million of tax benefits associated with previous years ' Third World loan activity , compared with $ 15 million a year earlier .","[array(['The', 'results'], dtype=object) array(['include'], dtype=object)
+ array(['$', '106', 'million'], dtype=object) array(['of'], dtype=object)
+ array(['tax', 'benefits'], dtype=object)
+ array(['associated'], dtype=object) array(['with'], dtype=object)
+ array(['previous', 'years'], dtype=object)
+ array([""'"", 'Third', 'World', 'loan', 'activity'], dtype=object)
+ array(['compared'], dtype=object) array(['with'], dtype=object)
+ array(['$', '15', 'million'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['earlier'], dtype=object)]",['associated'],['PP' 'VP' 'NP' 'ADVP'],1
+"Typically , Mr. Willens estimates , this type of debt makes up 15 % to 20 % of the financing for LBOs .","[array(['Typically'], dtype=object)
+ array(['Mr.', 'Willens'], dtype=object)
+ array(['estimates'], dtype=object) array(['this', 'type'], dtype=object)
+ array(['of'], dtype=object) array(['debt'], dtype=object)
+ array(['makes'], dtype=object) array(['up'], dtype=object)
+ array(['15', '%'], dtype=object) array(['20', '%'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'financing'], dtype=object)
+ array(['for'], dtype=object) array(['LBOs'], dtype=object)]",['up'],['NP' 'PRT' 'PP' 'VP'],1
+"If anything , the gyrations in world stock markets -- and in B.A.T 's share price -- since last Friday 's sharp Wall Street sell-off have increased the likelihood of shareholder approval for the restructuring , analysts and several big institutional holders said .","[array(['anything'], dtype=object)
+ array(['the', 'gyrations'], dtype=object) array(['in'], dtype=object)
+ array(['world', 'stock', 'markets'], dtype=object)
+ array(['in'], dtype=object) array(['B.A.T'], dtype=object)
+ array([""'s"", 'share', 'price'], dtype=object)
+ array(['since'], dtype=object) array(['last', 'Friday'], dtype=object)
+ array([""'s"", 'sharp', 'Wall', 'Street', 'sell-off'], dtype=object)
+ array(['have', 'increased'], dtype=object)
+ array(['the', 'likelihood'], dtype=object) array(['of'], dtype=object)
+ array(['shareholder', 'approval'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'restructuring'], dtype=object)
+ array(['analysts'], dtype=object)
+ array(['several', 'big', 'institutional', 'holders'], dtype=object)
+ array(['said'], dtype=object)]",['shareholder' 'approval'],['PP' 'NP' 'VP' 'ADVP'],1
+"Mr. Stevens 's remarks , confirming a report in The Wall Street Journal that British Air wants to start from scratch in any new bid for the nation 's second-largest airline , helped push UAL stock lower for the fourth straight day .","[array(['Mr.', 'Stevens'], dtype=object)
+ array([""'s"", 'remarks'], dtype=object)
+ array(['confirming'], dtype=object) array(['a', 'report'], dtype=object)
+ array(['in'], dtype=object)
+ array(['The', 'Wall', 'Street', 'Journal'], dtype=object)
+ array(['that'], dtype=object) array(['British', 'Air'], dtype=object)
+ array(['wants', 'to', 'start'], dtype=object)
+ array(['from'], dtype=object) array(['scratch'], dtype=object)
+ array(['in'], dtype=object) array(['any', 'new', 'bid'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'nation'], dtype=object)
+ array([""'s"", 'second-largest', 'airline'], dtype=object)
+ array(['helped', 'push'], dtype=object)
+ array(['UAL', 'stock'], dtype=object) array(['lower'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'fourth', 'straight', 'day'], dtype=object)]",['that'],['NP' 'SBAR' 'VP' 'PP'],1
+One broadcasting executive familiar with the project said the co-venture would target stations affiliated with Fox because Fox has the desirable independent stations in most of the key cities .,"[array(['One', 'broadcasting', 'executive'], dtype=object)
+ array(['familiar'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'project'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'co-venture'], dtype=object)
+ array(['would', 'target'], dtype=object)
+ array(['stations'], dtype=object) array(['affiliated'], dtype=object)
+ array(['with'], dtype=object) array(['Fox'], dtype=object)
+ array(['because'], dtype=object) array(['Fox'], dtype=object)
+ array(['has'], dtype=object)
+ array(['the', 'desirable', 'independent', 'stations'], dtype=object)
+ array(['in'], dtype=object) array(['most'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'key', 'cities'], dtype=object)]",['familiar'],['PP' 'ADJP' 'VP' 'NP'],1
+"Generally in the quarter , overproduction of gasoline and higher crude oil prices pressured profitability .","[array(['Generally'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'quarter'], dtype=object)
+ array(['overproduction'], dtype=object) array(['of'], dtype=object)
+ array(['gasoline'], dtype=object)
+ array(['higher', 'crude', 'oil', 'prices'], dtype=object)
+ array(['pressured'], dtype=object) array(['profitability'], dtype=object)]",['gasoline'],['VP' 'NP' 'ADVP' 'PP'],1
+"He said the original proposal is dead , and all aspects of a revised version are up for change , in light of the changes in UAL 's market price , the amount of debt banks are willing to fund , and the price British Air would be willing to pay .","[array(['He'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'original', 'proposal'], dtype=object)
+ array(['is'], dtype=object) array(['dead'], dtype=object)
+ array(['all', 'aspects'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'revised', 'version'], dtype=object)
+ array(['are'], dtype=object) array(['up'], dtype=object)
+ array(['for'], dtype=object) array(['change'], dtype=object)
+ array(['in'], dtype=object) array(['light'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'changes'], dtype=object)
+ array(['in'], dtype=object) array(['UAL'], dtype=object)
+ array([""'s"", 'market', 'price'], dtype=object)
+ array(['the', 'amount'], dtype=object) array(['of'], dtype=object)
+ array(['debt'], dtype=object) array(['banks'], dtype=object)
+ array(['are'], dtype=object) array(['willing'], dtype=object)
+ array(['to', 'fund'], dtype=object) array(['the', 'price'], dtype=object)
+ array(['British', 'Air'], dtype=object)
+ array(['would', 'be'], dtype=object) array(['willing'], dtype=object)
+ array(['to', 'pay'], dtype=object)]",['the' 'changes'],['SBAR' 'NP' 'VP' 'PP'],1
+The money spent on repairs will be counted as a plus .,"[array(['The', 'money'], dtype=object) array(['spent'], dtype=object)
+ array(['on'], dtype=object) array(['repairs'], dtype=object)
+ array(['will', 'be', 'counted'], dtype=object)
+ array(['as'], dtype=object) array(['a', 'plus'], dtype=object)]",['The' 'money'],['VP' 'NP' 'SBAR' 'PP'],1
+He added that the cost for stress-related compensation claims is about twice the average for all injury claims .,"[array(['He'], dtype=object) array(['added'], dtype=object)
+ array(['that'], dtype=object) array(['the', 'cost'], dtype=object)
+ array(['for'], dtype=object)
+ array(['stress-related', 'compensation', 'claims'], dtype=object)
+ array(['is'], dtype=object)
+ array(['about', 'twice', 'the', 'average'], dtype=object)
+ array(['for'], dtype=object)
+ array(['all', 'injury', 'claims'], dtype=object)]",['all' 'injury' 'claims'],['SBAR' 'NP' 'PP' 'VP'],1
+"The poll , conducted Aug. 7-28 , also provides a glimpse into the thinking of serious investors on a variety of other topics .","[array(['The', 'poll'], dtype=object) array(['conducted'], dtype=object)
+ array(['Aug.', '7-28'], dtype=object) array(['also'], dtype=object)
+ array(['provides'], dtype=object) array(['a', 'glimpse'], dtype=object)
+ array(['into'], dtype=object) array(['the', 'thinking'], dtype=object)
+ array(['of'], dtype=object) array(['serious', 'investors'], dtype=object)
+ array(['on'], dtype=object) array(['a', 'variety'], dtype=object)
+ array(['of'], dtype=object) array(['other', 'topics'], dtype=object)]",['the' 'thinking'],['VP' 'NP' 'PP' 'ADJP'],1
+"When it comes to investing , trying to weigh risk and reward can seem like throwing darts blindfolded : Investors do n't know the actual returns that securities will deliver , or the ups and downs that will occur along the way .","[array(['When'], dtype=object) array(['it'], dtype=object)
+ array(['comes'], dtype=object) array(['to'], dtype=object)
+ array(['investing'], dtype=object)
+ array(['trying', 'to', 'weigh'], dtype=object)
+ array(['risk', 'and', 'reward'], dtype=object)
+ array(['can', 'seem'], dtype=object) array(['like'], dtype=object)
+ array(['throwing'], dtype=object) array(['darts'], dtype=object)
+ array(['blindfolded'], dtype=object) array(['Investors'], dtype=object)
+ array(['do', ""n't"", 'know'], dtype=object)
+ array(['the', 'actual', 'returns'], dtype=object)
+ array(['that'], dtype=object) array(['securities'], dtype=object)
+ array(['will', 'deliver'], dtype=object)
+ array(['the', 'ups', 'and', 'downs'], dtype=object)
+ array(['that'], dtype=object) array(['will', 'occur'], dtype=object)
+ array(['along'], dtype=object) array(['the', 'way'], dtype=object)]",['along'],['ADJP' 'PP' 'VP' 'NP'],1
+"The board of this Ponce , Puerto Rico concern voted to suspend payment of its quarterly of 11 cents a share for the third quarter .","[array(['The', 'board'], dtype=object) array(['of'], dtype=object)
+ array(['this', 'Ponce', ',', 'Puerto', 'Rico', 'concern'], dtype=object)
+ array(['voted', 'to', 'suspend'], dtype=object)
+ array(['payment'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'quarterly'], dtype=object) array(['of'], dtype=object)
+ array(['11', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'third', 'quarter'], dtype=object)]",['The' 'board'],['PP' 'NP' 'VP' 'PRT'],1
+`` People comfortable with the passive approach are using them for other strategies . '',"[array(['People'], dtype=object) array(['comfortable'], dtype=object)
+ array(['with'], dtype=object)
+ array(['the', 'passive', 'approach'], dtype=object)
+ array(['are', 'using'], dtype=object) array(['them'], dtype=object)
+ array(['for'], dtype=object) array(['other', 'strategies'], dtype=object)]",['with'],['VP' 'PP' 'NP' 'ADVP'],1
+The company said it was leasing the site of the refinery from Aruba .,"[array(['The', 'company'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object) array(['was', 'leasing'], dtype=object)
+ array(['the', 'site'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'refinery'], dtype=object) array(['from'], dtype=object)
+ array(['Aruba'], dtype=object)]",['said'],['ADVP' 'VP' 'NP' 'PP'],1
+"`` We had just finished phase two '' of the Cypress project that involved installing a series of retaining cables designed to prevent sections of the roadway from separating as a result of seismic shock , a state DOT engineer said .","[array(['We'], dtype=object)
+ array(['had', 'just', 'finished'], dtype=object)
+ array(['phase', 'two'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Cypress', 'project'], dtype=object)
+ array(['that'], dtype=object)
+ array(['involved', 'installing'], dtype=object)
+ array(['a', 'series'], dtype=object) array(['of'], dtype=object)
+ array(['retaining', 'cables'], dtype=object)
+ array(['designed'], dtype=object) array(['to', 'prevent'], dtype=object)
+ array(['sections'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'roadway'], dtype=object) array(['from'], dtype=object)
+ array(['separating'], dtype=object) array(['as'], dtype=object)
+ array(['a', 'result'], dtype=object) array(['of'], dtype=object)
+ array(['seismic', 'shock'], dtype=object)
+ array(['a', 'state', 'DOT', 'engineer'], dtype=object)
+ array(['said'], dtype=object)]",['had' 'just' 'finished'],['PP' 'VP' 'NP' 'ADVP'],1
+He earlier denied the allegations against him in the lawsuit by Norton and GE .,"[array(['He'], dtype=object) array(['earlier'], dtype=object)
+ array(['denied'], dtype=object)
+ array(['the', 'allegations'], dtype=object)
+ array(['against'], dtype=object) array(['him'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'lawsuit'], dtype=object)
+ array(['by'], dtype=object) array(['Norton', 'and', 'GE'], dtype=object)]",['earlier'],['PP' 'ADVP' 'NP' 'VP'],1
+London shares rallied to post strong gains after initial fears evaporated that the California earthquake would depress Wall Street prices .,"[array(['London', 'shares'], dtype=object)
+ array(['rallied'], dtype=object) array(['to', 'post'], dtype=object)
+ array(['strong', 'gains'], dtype=object) array(['after'], dtype=object)
+ array(['initial', 'fears'], dtype=object)
+ array(['evaporated'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'California', 'earthquake'], dtype=object)
+ array(['would', 'depress'], dtype=object)
+ array(['Wall', 'Street', 'prices'], dtype=object)]",['strong' 'gains'],['ADVP' 'NP' 'VP' 'PP'],1
+One chemist privately suggested this hinted that some `` anomalous '' chemical reactions might be producing the heat .,"[array(['One', 'chemist'], dtype=object)
+ array(['privately'], dtype=object) array(['suggested'], dtype=object)
+ array(['this'], dtype=object) array(['hinted'], dtype=object)
+ array(['that'], dtype=object)
+ array(['some', '``', 'anomalous', ""''"", 'chemical', 'reactions'],
+       dtype=object)
+ array(['might', 'be', 'producing'], dtype=object)
+ array(['the', 'heat'], dtype=object)]",['the' 'heat'],['VP' 'NP' 'ADVP' 'PP'],1
+"Now , investment salesmen say it 's time to take some risks if you want the kind of returns that will buy your toddler a ticket to Prestige U. in 18 years .","[array(['Now'], dtype=object)
+ array(['investment', 'salesmen'], dtype=object)
+ array(['say'], dtype=object) array(['it'], dtype=object)
+ array([""'s""], dtype=object) array(['time'], dtype=object)
+ array(['to', 'take'], dtype=object)
+ array(['some', 'risks'], dtype=object) array(['if'], dtype=object)
+ array(['you'], dtype=object) array(['want'], dtype=object)
+ array(['the', 'kind'], dtype=object) array(['of'], dtype=object)
+ array(['returns'], dtype=object) array(['that'], dtype=object)
+ array(['will', 'buy'], dtype=object)
+ array(['your', 'toddler'], dtype=object)
+ array(['a', 'ticket'], dtype=object) array(['to'], dtype=object)
+ array(['Prestige', 'U.'], dtype=object) array(['in'], dtype=object)
+ array(['18', 'years'], dtype=object)]",['to'],['VP' 'PP' 'SBAR' 'NP'],1
+"But while the overall market improved , the new-issue junk-bond market continued to count casualties , even as junk-bond prices rose .","[array(['while'], dtype=object)
+ array(['the', 'overall', 'market'], dtype=object)
+ array(['improved'], dtype=object)
+ array(['the', 'new-issue', 'junk-bond', 'market'], dtype=object)
+ array(['continued', 'to', 'count'], dtype=object)
+ array(['casualties'], dtype=object) array(['even', 'as'], dtype=object)
+ array(['junk-bond', 'prices'], dtype=object)
+ array(['rose'], dtype=object)]",['while'],['PP' 'SBAR' 'ADJP' 'NP'],1
+-LRB- Here 's how to interpret a standard deviation figure : Take the expected return and add one standard deviation to it .,"[array(['Here'], dtype=object) array([""'s""], dtype=object)
+ array(['how'], dtype=object) array(['to', 'interpret'], dtype=object)
+ array(['a', 'standard', 'deviation', 'figure'], dtype=object)
+ array(['Take'], dtype=object)
+ array(['the', 'expected', 'return'], dtype=object)
+ array(['add'], dtype=object)
+ array(['one', 'standard', 'deviation'], dtype=object)
+ array(['to'], dtype=object) array(['it'], dtype=object)]",['Take'],['ADVP' 'VP' 'PP' 'NP'],1
+"Japan says its economic growth will fall sharply if it cuts back on the use of oil , coal and gas to cap emissions of carbon dioxide .","[array(['Japan'], dtype=object) array(['says'], dtype=object)
+ array(['its', 'economic', 'growth'], dtype=object)
+ array(['will', 'fall'], dtype=object) array(['sharply'], dtype=object)
+ array(['if'], dtype=object) array(['it'], dtype=object)
+ array(['cuts'], dtype=object) array(['back'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'use'], dtype=object)
+ array(['of'], dtype=object)
+ array(['oil', ',', 'coal', 'and', 'gas'], dtype=object)
+ array(['to', 'cap'], dtype=object) array(['emissions'], dtype=object)
+ array(['of'], dtype=object) array(['carbon', 'dioxide'], dtype=object)]",['the' 'use'],['VP' 'NP' 'SBAR' 'PP'],1
+"For years , the canceled checks of a small number of well-known baseball players have been bought and sold .","[array(['For'], dtype=object) array(['years'], dtype=object)
+ array(['the', 'canceled', 'checks'], dtype=object)
+ array(['of'], dtype=object) array(['a', 'small', 'number'], dtype=object)
+ array(['of'], dtype=object)
+ array(['well-known', 'baseball', 'players'], dtype=object)
+ array(['have', 'been', 'bought', 'and', 'sold'], dtype=object)]",['a' 'small' 'number'],['PP' 'NP' 'ADJP' 'VP'],1
+We 're not rushing into anything .,"[array(['We'], dtype=object)
+ array([""'re"", 'not', 'rushing'], dtype=object)
+ array(['into'], dtype=object) array(['anything'], dtype=object)]","[""'re"" 'not' 'rushing']",['ADJP' 'VP' 'NP' 'PP'],1
+"Earlier this month , IMA said it had received about $ 1 billion of senior debt financing from Chemical Bank and six other banks ; Chemical Bank said it was `` highly confident '' it could arrange the balance of about $ 509 million .","[array(['Earlier', 'this', 'month'], dtype=object)
+ array(['IMA'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object) array(['had', 'received'], dtype=object)
+ array(['about', '$', '1', 'billion'], dtype=object)
+ array(['of'], dtype=object)
+ array(['senior', 'debt', 'financing'], dtype=object)
+ array(['from'], dtype=object) array(['Chemical', 'Bank'], dtype=object)
+ array(['six', 'other', 'banks'], dtype=object)
+ array(['Chemical', 'Bank'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object) array(['was'], dtype=object)
+ array(['``', 'highly', 'confident'], dtype=object)
+ array(['it'], dtype=object) array(['could', 'arrange'], dtype=object)
+ array(['the', 'balance'], dtype=object) array(['of'], dtype=object)
+ array(['about', '$', '509', 'million'], dtype=object)]",['could' 'arrange'],['PP' 'VP' 'SBAR' 'NP'],1
+"No personal computer , not even the one on a chief executive 's desk , is safe , this speaker noted .","[array(['No', 'personal', 'computer'], dtype=object)
+ array(['not', 'even'], dtype=object) array(['the', 'one'], dtype=object)
+ array(['on'], dtype=object)
+ array(['a', 'chief', 'executive'], dtype=object)
+ array([""'s"", 'desk'], dtype=object) array(['is'], dtype=object)
+ array(['safe'], dtype=object) array(['this', 'speaker'], dtype=object)
+ array(['noted'], dtype=object)]",['the' 'one'],['PP' 'NP' 'ADJP' 'VP'],1
+"Moreover , it will boost by 50 % USX 's current hot-dipped capacity of 1,275,000 tons .","[array(['Moreover'], dtype=object) array(['it'], dtype=object)
+ array(['will', 'boost'], dtype=object) array(['by'], dtype=object)
+ array(['50', '%'], dtype=object) array(['USX'], dtype=object)
+ array([""'s"", 'current', 'hot-dipped', 'capacity'], dtype=object)
+ array(['of'], dtype=object) array(['1,275,000', 'tons'], dtype=object)]","['1,275,000' 'tons']",['VP' 'NP' 'PP' 'ADVP'],1
+But they said the quake will force some companies to relocate or expand part or all of their operations outside the state .,"[array(['they'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'quake'], dtype=object)
+ array(['will', 'force'], dtype=object)
+ array(['some', 'companies'], dtype=object)
+ array(['to', 'relocate', 'or', 'expand'], dtype=object)
+ array(['part', 'or', 'all'], dtype=object) array(['of'], dtype=object)
+ array(['their', 'operations'], dtype=object)
+ array(['outside'], dtype=object) array(['the', 'state'], dtype=object)]",['said'],['ADJP' 'VP' 'PP' 'NP'],1
+"GTE officials began posting warning notices about the potential threat to exposure Wednesday morning at various places at the company , said GTE spokesman Thomas Mattausch .","[array(['GTE', 'officials'], dtype=object)
+ array(['began', 'posting'], dtype=object)
+ array(['warning', 'notices'], dtype=object)
+ array(['about'], dtype=object)
+ array(['the', 'potential', 'threat'], dtype=object)
+ array(['to'], dtype=object) array(['exposure'], dtype=object)
+ array(['Wednesday', 'morning'], dtype=object) array(['at'], dtype=object)
+ array(['various', 'places'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'company'], dtype=object) array(['said'], dtype=object)
+ array(['GTE', 'spokesman', 'Thomas', 'Mattausch'], dtype=object)]",['exposure'],['ADVP' 'NP' 'VP' 'PP'],1
+And laws requiring the reporting of more varieties of transactions have enabled the IRS to rely on computers to ferret out discrepancies with returns and to generate form-letter inquiries to taxpayers .,"[array(['laws'], dtype=object) array(['requiring'], dtype=object)
+ array(['the', 'reporting'], dtype=object) array(['of'], dtype=object)
+ array(['more', 'varieties'], dtype=object) array(['of'], dtype=object)
+ array(['transactions'], dtype=object)
+ array(['have', 'enabled'], dtype=object)
+ array(['the', 'IRS'], dtype=object) array(['to', 'rely'], dtype=object)
+ array(['on'], dtype=object) array(['computers'], dtype=object)
+ array(['to', 'ferret'], dtype=object) array(['out'], dtype=object)
+ array(['discrepancies'], dtype=object) array(['with'], dtype=object)
+ array(['returns'], dtype=object) array(['to', 'generate'], dtype=object)
+ array(['form-letter', 'inquiries'], dtype=object)
+ array(['to'], dtype=object) array(['taxpayers'], dtype=object)]",['more' 'varieties'],['VP' 'NP' 'PP' 'ADVP'],1
+"He said Western Digital has reacted swiftly to the movement to video graphics array , VGA , graphics technology from the old enhanced graphics adapter , EGA , which has a lower resolution standard , technology and now is one of the leading producers of these newer units .","[array(['He'], dtype=object) array(['said'], dtype=object)
+ array(['Western', 'Digital'], dtype=object)
+ array(['has', 'reacted'], dtype=object) array(['swiftly'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'movement'], dtype=object)
+ array(['to'], dtype=object)
+ array(['video', 'graphics', 'array'], dtype=object)
+ array(['graphics', 'technology'], dtype=object)
+ array(['from'], dtype=object) array(['EGA'], dtype=object)
+ array(['which'], dtype=object) array(['has'], dtype=object)
+ array(['a', 'lower', 'resolution', 'standard'], dtype=object)
+ array(['technology'], dtype=object) array(['now', 'is'], dtype=object)
+ array(['one'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'leading', 'producers'], dtype=object)
+ array(['of'], dtype=object)
+ array(['these', 'newer', 'units'], dtype=object)]",['Western' 'Digital'],['VP' 'NP' 'PP' 'ADVP'],1
+The $ 1.4 billion robot spacecraft faces a six-year journey to explore Jupiter and its 16 known moons .,"[array(['The', '$', '1.4', 'billion', 'robot', 'spacecraft'], dtype=object)
+ array(['faces'], dtype=object)
+ array(['a', 'six-year', 'journey'], dtype=object)
+ array(['to', 'explore'], dtype=object) array(['Jupiter'], dtype=object)
+ array(['its', '16', 'known', 'moons'], dtype=object)]",['Jupiter'],['VP' 'NP' 'PP' 'SBAR'],1
+"Computer parts are getting ever smaller , Mr. Johnson said , a shrinking that has propelled laptops into position as the fastest-growing segment of the computer business .","[array(['Computer', 'parts'], dtype=object)
+ array(['are', 'getting'], dtype=object)
+ array(['ever', 'smaller'], dtype=object)
+ array(['Mr.', 'Johnson'], dtype=object) array(['said'], dtype=object)
+ array(['a', 'shrinking'], dtype=object) array(['that'], dtype=object)
+ array(['has', 'propelled'], dtype=object)
+ array(['laptops'], dtype=object) array(['into'], dtype=object)
+ array(['position'], dtype=object) array(['as'], dtype=object)
+ array(['the', 'fastest-growing', 'segment'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'computer', 'business'], dtype=object)]",['a' 'shrinking'],['PP' 'NP' 'SBAR' 'VP'],1
+A similiar proposal has been made in the W. Herbert Hunt case although he and the IRS are at odds over the size of the non-dischargable debt he would have to pay to the government from future earnings .,"[array(['A', 'similiar', 'proposal'], dtype=object)
+ array(['has', 'been', 'made'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'W.', 'Herbert', 'Hunt', 'case'], dtype=object)
+ array(['although'], dtype=object) array(['he'], dtype=object)
+ array(['the', 'IRS'], dtype=object) array(['are'], dtype=object)
+ array(['at'], dtype=object) array(['odds'], dtype=object)
+ array(['over'], dtype=object) array(['the', 'size'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'non-dischargable', 'debt'], dtype=object)
+ array(['he'], dtype=object)
+ array(['would', 'have', 'to', 'pay'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'government'], dtype=object)
+ array(['from'], dtype=object) array(['future', 'earnings'], dtype=object)]",['the' 'non-dischargable' 'debt'],['VP' 'NP' 'SBAR' 'PP'],1
+"But there are signs now -- the strikes by miners , Boeing workers , telephone workers , etc. -- that this attack on wages is being more fiercely resisted .","[array(['there'], dtype=object) array(['are'], dtype=object)
+ array(['signs'], dtype=object) array(['now'], dtype=object)
+ array(['the', 'strikes'], dtype=object) array(['by'], dtype=object)
+ array(['miners'], dtype=object)
+ array(['Boeing', 'workers'], dtype=object)
+ array(['telephone', 'workers'], dtype=object)
+ array([',', 'etc.'], dtype=object) array(['that'], dtype=object)
+ array(['this', 'attack'], dtype=object) array(['on'], dtype=object)
+ array(['wages'], dtype=object)
+ array(['is', 'being', 'more', 'fiercely', 'resisted'], dtype=object)]",['on'],['VP' 'PP' 'ADVP' 'NP'],1
+General Dynamics Corp. was awarded contracts totaling $ 589 million for one Navy Trident submarine and for Air Force research on the National Aerospace plane .,"[array(['General', 'Dynamics', 'Corp.'], dtype=object)
+ array(['was', 'awarded'], dtype=object)
+ array(['contracts'], dtype=object) array(['totaling'], dtype=object)
+ array(['$', '589', 'million'], dtype=object) array(['for'], dtype=object)
+ array(['one', 'Navy', 'Trident', 'submarine'], dtype=object)
+ array(['and'], dtype=object) array(['for'], dtype=object)
+ array(['Air', 'Force', 'research'], dtype=object)
+ array(['on'], dtype=object)
+ array(['the', 'National', 'Aerospace', 'plane'], dtype=object)]",['one' 'Navy' 'Trident' 'submarine'],['PP' 'NP' 'ADVP' 'VP'],1
+"Their indicated market values thus are about $ 43.3 million and $ 28.6 million , respectively .","[array(['Their', 'indicated', 'market', 'values'], dtype=object)
+ array(['thus'], dtype=object) array(['are'], dtype=object)
+ array(['about', '$', '43.3', 'million', 'and', '$', '28.6', 'million'],
+       dtype=object)
+ array(['respectively'], dtype=object)]",['Their' 'indicated' 'market' 'values'],['PP' 'NP' 'ADVP' 'VP'],1
+The mood changed after dealers reappraised the direct impact of the disaster on shares and Wall Street rebounded from early losses .,"[array(['The', 'mood'], dtype=object) array(['changed'], dtype=object)
+ array(['after'], dtype=object) array(['dealers'], dtype=object)
+ array(['reappraised'], dtype=object)
+ array(['the', 'direct', 'impact'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'disaster'], dtype=object)
+ array(['on'], dtype=object) array(['shares'], dtype=object)
+ array(['Wall', 'Street'], dtype=object)
+ array(['rebounded'], dtype=object) array(['from'], dtype=object)
+ array(['early', 'losses'], dtype=object)]",['the' 'disaster'],['PP' 'NP' 'ADJP' 'VP'],1
+"However , if the secretary concludes that a transaction has made a carrier unfit to operate , the department may revoke its certificate , grounding the airline .","[array(['However'], dtype=object) array(['if'], dtype=object)
+ array(['the', 'secretary'], dtype=object)
+ array(['concludes'], dtype=object) array(['that'], dtype=object)
+ array(['a', 'transaction'], dtype=object)
+ array(['has', 'made'], dtype=object)
+ array(['a', 'carrier'], dtype=object) array(['unfit'], dtype=object)
+ array(['to', 'operate'], dtype=object)
+ array(['the', 'department'], dtype=object)
+ array(['may', 'revoke'], dtype=object)
+ array(['its', 'certificate'], dtype=object)
+ array(['grounding'], dtype=object)
+ array(['the', 'airline'], dtype=object)]",['has' 'made'],['NP' 'VP' 'ADVP' 'PP'],1
+The University of Toronto stepped deeper into the contest for Connaught BioSciences Inc. by reaching an unusual agreement with Ciba-Geigy Ltd. and Chiron Corp .,"[array(['The', 'University'], dtype=object) array(['of'], dtype=object)
+ array(['Toronto'], dtype=object) array(['stepped'], dtype=object)
+ array(['deeper'], dtype=object) array(['into'], dtype=object)
+ array(['the', 'contest'], dtype=object) array(['for'], dtype=object)
+ array(['Connaught', 'BioSciences', 'Inc.'], dtype=object)
+ array(['by'], dtype=object) array(['reaching'], dtype=object)
+ array(['an', 'unusual', 'agreement'], dtype=object)
+ array(['with'], dtype=object) array(['Ciba-Geigy', 'Ltd.'], dtype=object)
+ array(['Chiron', 'Corp'], dtype=object)]",['of'],['ADJP' 'PP' 'VP' 'NP'],1
+"`` I think the problems in the junk-bond area are just beginning , and this will be very unsettling for companies that have issued junk bonds .","[array(['I'], dtype=object) array(['think'], dtype=object)
+ array(['the', 'problems'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'junk-bond', 'area'], dtype=object)
+ array(['are', 'just', 'beginning'], dtype=object)
+ array(['this'], dtype=object) array(['will', 'be'], dtype=object)
+ array(['very', 'unsettling'], dtype=object) array(['for'], dtype=object)
+ array(['companies'], dtype=object) array(['that'], dtype=object)
+ array(['have', 'issued'], dtype=object)
+ array(['junk', 'bonds'], dtype=object)]",['have' 'issued'],['NP' 'VP' 'PRT' 'PP'],1
+"Appealing to a young audience , he scraps an old reference to Ozzie and Harriet and instead quotes the Grateful Dead .","[array(['Appealing'], dtype=object) array(['to'], dtype=object)
+ array(['a', 'young', 'audience'], dtype=object)
+ array(['he'], dtype=object) array(['scraps'], dtype=object)
+ array(['an', 'old', 'reference'], dtype=object)
+ array(['to'], dtype=object)
+ array(['Ozzie', 'and', 'Harriet'], dtype=object)
+ array(['instead'], dtype=object) array(['quotes'], dtype=object)
+ array(['the', 'Grateful', 'Dead'], dtype=object)]",['an' 'old' 'reference'],['PP' 'NP' 'ADVP' 'VP'],1
+"At Hewlett-Packard Co. , the earthquake came just as the company was reviewing its own emergency procedures .","[array(['At'], dtype=object)
+ array(['Hewlett-Packard', 'Co.'], dtype=object)
+ array(['the', 'earthquake'], dtype=object) array(['came'], dtype=object)
+ array(['just', 'as'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array(['was', 'reviewing'], dtype=object)
+ array(['its', 'own', 'emergency', 'procedures'], dtype=object)]",['just' 'as'],['PP' 'SBAR' 'NP' 'VP'],1
+Potential candidates may be discouraged from running less by the congressional salary than by the prospect of defeat at the hands of a Democratic opponent .,"[array(['Potential', 'candidates'], dtype=object)
+ array(['may', 'be', 'discouraged'], dtype=object)
+ array(['from'], dtype=object) array(['running'], dtype=object)
+ array(['less'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'congressional', 'salary'], dtype=object)
+ array(['than'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'prospect'], dtype=object) array(['of'], dtype=object)
+ array(['defeat'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'hands'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'Democratic', 'opponent'], dtype=object)]",['less'],['VP' 'ADVP' 'PP' 'NP'],1
+"The robot probe was dispatched Wednesday by the shuttle crew , which is to conduct a series of medical and other experiments before their scheduled landing Monday in California .","[array(['The', 'robot', 'probe'], dtype=object)
+ array(['was', 'dispatched'], dtype=object)
+ array(['Wednesday'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'shuttle', 'crew'], dtype=object)
+ array(['which'], dtype=object) array(['is'], dtype=object)
+ array(['to', 'conduct'], dtype=object)
+ array(['a', 'series'], dtype=object) array(['of'], dtype=object)
+ array(['medical', 'and', 'other', 'experiments'], dtype=object)
+ array(['before'], dtype=object)
+ array(['their', 'scheduled', 'landing'], dtype=object)
+ array(['Monday'], dtype=object) array(['in'], dtype=object)
+ array(['California'], dtype=object)]",['Wednesday'],['VP' 'NP' 'ADJP' 'ADVP'],1
+"Polls bear out this warning , but after a decade of increased Republican influence here , the new politics of abortion have contributed to a world turned upside down for Mr. Courter .","[array(['Polls'], dtype=object) array(['bear'], dtype=object)
+ array(['out'], dtype=object) array(['this', 'warning'], dtype=object)
+ array(['after'], dtype=object) array(['a', 'decade'], dtype=object)
+ array(['of'], dtype=object)
+ array(['increased', 'Republican', 'influence'], dtype=object)
+ array(['here'], dtype=object)
+ array(['the', 'new', 'politics'], dtype=object)
+ array(['of'], dtype=object) array(['abortion'], dtype=object)
+ array(['have', 'contributed'], dtype=object) array(['to'], dtype=object)
+ array(['a', 'world'], dtype=object) array(['turned'], dtype=object)
+ array(['upside', 'down'], dtype=object) array(['for'], dtype=object)
+ array(['Mr.', 'Courter'], dtype=object)]",['have' 'contributed'],['ADJP' 'VP' 'PP' 'NP'],1
+"When he died in 1959 , Chandler left behind four chapters of yet another Marlowe book , `` The Poodle Springs Story , '' which seemed to go beyond parody into something like burlesque .","[array(['When'], dtype=object) array(['he'], dtype=object)
+ array(['died'], dtype=object) array(['in'], dtype=object)
+ array(['1959'], dtype=object) array(['Chandler'], dtype=object)
+ array(['left'], dtype=object) array(['behind'], dtype=object)
+ array(['four', 'chapters'], dtype=object) array(['of'], dtype=object)
+ array(['yet', 'another', 'Marlowe', 'book'], dtype=object)
+ array(['The', 'Poodle', 'Springs', 'Story'], dtype=object)
+ array(['which'], dtype=object)
+ array(['seemed', 'to', 'go'], dtype=object)
+ array(['beyond'], dtype=object) array(['parody'], dtype=object)
+ array(['into'], dtype=object) array(['something'], dtype=object)
+ array(['like'], dtype=object) array(['burlesque'], dtype=object)]",['burlesque'],['VP' 'NP' 'INTJ' 'PP'],1
+"The Direct Selling Association , a trade group , points out that its members , which include Amway Corp. , cooperate with the IRS to distribute tax-compliance material to sales people and are helping to prepare a public-service television program on the subject .","[array(['The', 'Direct', 'Selling', 'Association'], dtype=object)
+ array(['a', 'trade', 'group'], dtype=object)
+ array(['points'], dtype=object) array(['out'], dtype=object)
+ array(['that'], dtype=object) array(['its', 'members'], dtype=object)
+ array(['which'], dtype=object) array(['include'], dtype=object)
+ array(['Amway', 'Corp.'], dtype=object)
+ array(['cooperate'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'IRS'], dtype=object)
+ array(['to', 'distribute'], dtype=object)
+ array(['tax-compliance', 'material'], dtype=object)
+ array(['to'], dtype=object) array(['sales', 'people'], dtype=object)
+ array(['are', 'helping', 'to', 'prepare'], dtype=object)
+ array(['a', 'public-service', 'television', 'program'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'subject'], dtype=object)]",['a' 'trade' 'group'],['ADVP' 'NP' 'PP' 'VP'],1
+Health-care companies should get healthier in the third quarter .,"[array(['Health-care', 'companies'], dtype=object)
+ array(['should', 'get'], dtype=object) array(['healthier'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'third', 'quarter'], dtype=object)]",['in'],['VP' 'PP' 'NP' 'ADJP'],1
+"When the tremors struck , the region 's largely unseen high-tech fabric held up surprisingly well despite the devastation visible from the air .","[array(['When'], dtype=object) array(['the', 'tremors'], dtype=object)
+ array(['struck'], dtype=object) array(['the', 'region'], dtype=object)
+ array([""'s""], dtype=object) array(['largely', 'unseen'], dtype=object)
+ array(['high-tech', 'fabric'], dtype=object)
+ array(['held'], dtype=object) array(['up'], dtype=object)
+ array(['surprisingly', 'well'], dtype=object)
+ array(['despite'], dtype=object)
+ array(['the', 'devastation'], dtype=object)
+ array(['visible'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'air'], dtype=object)]",['surprisingly' 'well'],['PP' 'ADVP' 'VP' 'NP'],1
+"It buys loans from lenders , packages some into securities for sale to investors and holds the remainder in a portfolio .","[array(['It'], dtype=object) array(['buys'], dtype=object)
+ array(['loans'], dtype=object) array(['from'], dtype=object)
+ array(['lenders'], dtype=object) array(['packages'], dtype=object)
+ array(['some'], dtype=object) array(['into'], dtype=object)
+ array(['securities'], dtype=object) array(['for'], dtype=object)
+ array(['sale'], dtype=object) array(['to'], dtype=object)
+ array(['investors'], dtype=object) array(['holds'], dtype=object)
+ array(['the', 'remainder'], dtype=object) array(['in'], dtype=object)
+ array(['a', 'portfolio'], dtype=object)]",['the' 'remainder'],['SBAR' 'NP' 'PP' 'VP'],1
+"This legislative activity comes as both sides are undertaking new mobilization efforts , plunging into gubernatorial races in Virginia and New Jersey , and girding for next autumn 's state elections .","[array(['This', 'legislative', 'activity'], dtype=object)
+ array(['comes'], dtype=object) array(['as'], dtype=object)
+ array(['both', 'sides'], dtype=object)
+ array(['are', 'undertaking'], dtype=object)
+ array(['new', 'mobilization', 'efforts'], dtype=object)
+ array(['plunging'], dtype=object) array(['into'], dtype=object)
+ array(['gubernatorial', 'races'], dtype=object)
+ array(['in'], dtype=object) array(['Virginia'], dtype=object)
+ array(['New', 'Jersey'], dtype=object) array(['girding'], dtype=object)
+ array(['for'], dtype=object) array(['next', 'autumn'], dtype=object)
+ array([""'s"", 'state', 'elections'], dtype=object)]",['new' 'mobilization' 'efforts'],['ADJP' 'NP' 'PP' 'VP'],1
+"The number of big institutions that own H&R Block shares is 207 and growing , according to a midyear tally by CDA Investment Technologies .","[array(['The', 'number'], dtype=object) array(['of'], dtype=object)
+ array(['big', 'institutions'], dtype=object)
+ array(['that'], dtype=object) array(['own'], dtype=object)
+ array(['H&R', 'Block', 'shares'], dtype=object)
+ array(['is'], dtype=object) array(['207'], dtype=object)
+ array(['growing'], dtype=object) array(['according'], dtype=object)
+ array(['to'], dtype=object)
+ array(['a', 'midyear', 'tally'], dtype=object)
+ array(['by'], dtype=object)
+ array(['CDA', 'Investment', 'Technologies'], dtype=object)]",['of'],['ADJP' 'PP' 'NP' 'VP'],1
+"IBM appears more worried about Digital , which has a broad base of customers waiting for the new line , dubbed the VAX 9000 .","[array(['IBM'], dtype=object) array(['appears'], dtype=object)
+ array(['more', 'worried'], dtype=object) array(['about'], dtype=object)
+ array(['Digital'], dtype=object) array(['which'], dtype=object)
+ array(['has'], dtype=object) array(['a', 'broad', 'base'], dtype=object)
+ array(['of'], dtype=object) array(['customers'], dtype=object)
+ array(['waiting'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'new', 'line'], dtype=object)
+ array(['dubbed'], dtype=object)
+ array(['the', 'VAX', '9000'], dtype=object)]",['customers'],['PP' 'NP' 'VP' 'SBAR'],1
+Loral said it expects sales to accelerate in both the third and fourth quarters of this fiscal year .,"[array(['Loral'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object) array(['expects'], dtype=object)
+ array(['sales'], dtype=object) array(['to', 'accelerate'], dtype=object)
+ array(['in'], dtype=object)
+ array(['both', 'the', 'third', 'and', 'fourth', 'quarters'], dtype=object)
+ array(['of'], dtype=object)
+ array(['this', 'fiscal', 'year'], dtype=object)]",['in'],['VP' 'PP' 'SBAR' 'NP'],1
+The photos showed active geysers on Io spewing sulfurous material 190 miles into its atmosphere and indicated that Europa may have an ocean hidden under a thick sheet of ice .,"[array(['The', 'photos'], dtype=object) array(['showed'], dtype=object)
+ array(['active', 'geysers'], dtype=object) array(['on'], dtype=object)
+ array(['Io'], dtype=object) array(['spewing'], dtype=object)
+ array(['sulfurous', 'material'], dtype=object)
+ array(['190', 'miles'], dtype=object) array(['into'], dtype=object)
+ array(['its', 'atmosphere'], dtype=object)
+ array(['indicated'], dtype=object) array(['that'], dtype=object)
+ array(['Europa'], dtype=object) array(['may', 'have'], dtype=object)
+ array(['an', 'ocean'], dtype=object) array(['hidden'], dtype=object)
+ array(['under'], dtype=object)
+ array(['a', 'thick', 'sheet'], dtype=object) array(['of'], dtype=object)
+ array(['ice'], dtype=object)]",['indicated'],['ADVP' 'VP' 'PP' 'NP'],1
+"The study surveyed a national group of medical directors , personnel managers and employee assistance program directors about their perceptions of these problems in their companies .","[array(['The', 'study'], dtype=object) array(['surveyed'], dtype=object)
+ array(['a', 'national', 'group'], dtype=object)
+ array(['of'], dtype=object) array(['medical', 'directors'], dtype=object)
+ array(['personnel', 'managers'], dtype=object)
+ array(['employee', 'assistance', 'program', 'directors'], dtype=object)
+ array(['about'], dtype=object)
+ array(['their', 'perceptions'], dtype=object) array(['of'], dtype=object)
+ array(['these', 'problems'], dtype=object) array(['in'], dtype=object)
+ array(['their', 'companies'], dtype=object)]",['in'],['ADVP' 'PP' 'NP' 'VP'],1
+"As times get tougher , investors fret about whether companies will have enough money to pay their debts .","[array(['As'], dtype=object) array(['times'], dtype=object)
+ array(['get'], dtype=object) array(['tougher'], dtype=object)
+ array(['investors'], dtype=object) array(['fret'], dtype=object)
+ array(['about'], dtype=object) array(['whether'], dtype=object)
+ array(['companies'], dtype=object) array(['will', 'have'], dtype=object)
+ array(['enough', 'money'], dtype=object)
+ array(['to', 'pay'], dtype=object)
+ array(['their', 'debts'], dtype=object)]",['companies'],['PP' 'NP' 'SBAR' 'VP'],1
+"This puts upon enforcers the burden of proving outright fraud or misrepresentation , and such actions have been brought against hundreds of charities recently .","[array(['This'], dtype=object) array(['puts'], dtype=object)
+ array(['upon'], dtype=object) array(['enforcers'], dtype=object)
+ array(['the', 'burden'], dtype=object) array(['of'], dtype=object)
+ array(['proving'], dtype=object)
+ array(['outright', 'fraud', 'or', 'misrepresentation'], dtype=object)
+ array(['such', 'actions'], dtype=object)
+ array(['have', 'been', 'brought'], dtype=object)
+ array(['against'], dtype=object) array(['hundreds'], dtype=object)
+ array(['of'], dtype=object) array(['charities'], dtype=object)
+ array(['recently'], dtype=object)]",['the' 'burden'],['SBAR' 'NP' 'VP' 'PRT'],1
+But the panel dismissed the magazine 's contention that it had n't libeled Mrs. Sutcliffe when it accused her of trying to sell her story to capitalize on the notoriety of her husband .,"[array(['the', 'panel'], dtype=object) array(['dismissed'], dtype=object)
+ array(['the', 'magazine'], dtype=object)
+ array([""'s"", 'contention'], dtype=object) array(['that'], dtype=object)
+ array(['it'], dtype=object)
+ array(['had', ""n't"", 'libeled'], dtype=object)
+ array(['Mrs.', 'Sutcliffe'], dtype=object) array(['when'], dtype=object)
+ array(['it'], dtype=object) array(['accused'], dtype=object)
+ array(['her'], dtype=object) array(['of'], dtype=object)
+ array(['trying', 'to', 'sell'], dtype=object)
+ array(['her', 'story'], dtype=object)
+ array(['to', 'capitalize'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'notoriety'], dtype=object) array(['of'], dtype=object)
+ array(['her', 'husband'], dtype=object)]",['when'],['PP' 'ADVP' 'NP' 'VP'],1
+"Ciba-Geigy is a Swiss pharmaceutical company and Chiron is based in Emeryville , Calif .","[array(['Ciba-Geigy'], dtype=object) array(['is'], dtype=object)
+ array(['a', 'Swiss', 'pharmaceutical', 'company'], dtype=object)
+ array(['Chiron'], dtype=object) array(['is', 'based'], dtype=object)
+ array(['in'], dtype=object) array(['Emeryville'], dtype=object)
+ array(['Calif'], dtype=object)]",['is' 'based'],['PP' 'VP' 'ADVP' 'NP'],1
+"`` We can support the American flag without changing the American Constitution , '' said Senate Majority Leader George Mitchell of Maine .","[array(['We'], dtype=object) array(['can', 'support'], dtype=object)
+ array(['the', 'American', 'flag'], dtype=object)
+ array(['without'], dtype=object) array(['changing'], dtype=object)
+ array(['the', 'American', 'Constitution'], dtype=object)
+ array(['said'], dtype=object)
+ array(['Senate', 'Majority', 'Leader', 'George', 'Mitchell'], dtype=object)
+ array(['of'], dtype=object) array(['Maine'], dtype=object)]",['Maine'],['VP' 'NP' 'ADVP' 'PP'],1
+"But whether such moves can win back the confidence of East Germans , who have taken to the streets by the thousands in recent weeks to demand democratic changes , depends largely on whether they feel they can trust Mr. Krenz .","[array(['whether'], dtype=object) array(['such', 'moves'], dtype=object)
+ array(['can', 'win'], dtype=object) array(['back'], dtype=object)
+ array(['the', 'confidence'], dtype=object) array(['of'], dtype=object)
+ array(['East', 'Germans'], dtype=object) array(['who'], dtype=object)
+ array(['have', 'taken'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'streets'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'thousands'], dtype=object) array(['in'], dtype=object)
+ array(['recent', 'weeks'], dtype=object)
+ array(['to', 'demand'], dtype=object)
+ array(['democratic', 'changes'], dtype=object)
+ array(['depends'], dtype=object) array(['largely'], dtype=object)
+ array(['on'], dtype=object) array(['whether'], dtype=object)
+ array(['they'], dtype=object) array(['feel'], dtype=object)
+ array(['they'], dtype=object) array(['can', 'trust'], dtype=object)
+ array(['Mr.', 'Krenz'], dtype=object)]",['the' 'streets'],['PP' 'NP' 'ADVP' 'VP'],1
+"The minimum unit is $ 100,000 .","[array(['The', 'minimum', 'unit'], dtype=object)
+ array(['is'], dtype=object) array(['$', '100,000'], dtype=object)]","['$' '100,000']",['VP' 'NP' 'PP' 'PRT'],1
+"B.A.T Industries , the most active Amex issue , rose 3\/8 to 12 3\/8 .","[array(['B.A.T', 'Industries'], dtype=object)
+ array(['the', 'most', 'active', 'Amex', 'issue'], dtype=object)
+ array(['rose'], dtype=object) array(['3\\/8'], dtype=object)
+ array(['to'], dtype=object) array(['12', '3\\/8'], dtype=object)]",['to'],['VP' 'PP' 'PRT' 'NP'],1
+"Or an investor who wants his accountant 's advice may be told , `` You seem like a guy who can make up his own mind . ''","[array(['an', 'investor'], dtype=object) array(['who'], dtype=object)
+ array(['wants'], dtype=object) array(['his', 'accountant'], dtype=object)
+ array([""'s"", 'advice'], dtype=object)
+ array(['may', 'be', 'told'], dtype=object) array(['You'], dtype=object)
+ array(['seem'], dtype=object) array(['like'], dtype=object)
+ array(['a', 'guy'], dtype=object) array(['who'], dtype=object)
+ array(['can', 'make'], dtype=object) array(['up'], dtype=object)
+ array(['his', 'own', 'mind'], dtype=object)]",['who'],['ADVP' 'NP' 'VP' 'PP'],1
+This compares with a 1.6 % rise in the second from the first quarter and a 5.4 % increase from the second quarter of 1988 .,"[array(['This'], dtype=object) array(['compares'], dtype=object)
+ array(['with'], dtype=object)
+ array(['a', '1.6', '%', 'rise'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'second'], dtype=object)
+ array(['from'], dtype=object)
+ array(['the', 'first', 'quarter'], dtype=object)
+ array(['a', '5.4', '%', 'increase'], dtype=object)
+ array(['from'], dtype=object)
+ array(['the', 'second', 'quarter'], dtype=object)
+ array(['of'], dtype=object) array(['1988'], dtype=object)]",['the' 'second' 'quarter'],['VP' 'NP' 'ADVP' 'PP'],1
+"Net income included a gain of $ 708,000 on asset sales , the real estate investment trust said .","[array(['Net', 'income'], dtype=object) array(['included'], dtype=object)
+ array(['a', 'gain'], dtype=object) array(['of'], dtype=object)
+ array(['$', '708,000'], dtype=object) array(['on'], dtype=object)
+ array(['asset', 'sales'], dtype=object)
+ array(['the', 'real', 'estate', 'investment', 'trust'], dtype=object)
+ array(['said'], dtype=object)]",['said'],['PP' 'VP' 'ADJP' 'NP'],1
+"The Conner team wo n't be able to negotiate with corporate sponsors until the suit is resolved and the race site is determined , Mr. Smith said , and the syndicate 's budget could easily reach $ 30 million .","[array(['The', 'Conner', 'team'], dtype=object)
+ array(['wo', ""n't"", 'be'], dtype=object) array(['able'], dtype=object)
+ array(['to', 'negotiate'], dtype=object) array(['with'], dtype=object)
+ array(['corporate', 'sponsors'], dtype=object)
+ array(['until'], dtype=object) array(['the', 'suit'], dtype=object)
+ array(['is', 'resolved'], dtype=object)
+ array(['the', 'race', 'site'], dtype=object)
+ array(['is', 'determined'], dtype=object)
+ array(['Mr.', 'Smith'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'syndicate'], dtype=object)
+ array([""'s"", 'budget'], dtype=object)
+ array(['could', 'easily', 'reach'], dtype=object)
+ array(['$', '30', 'million'], dtype=object)]",['could' 'easily' 'reach'],['ADVP' 'VP' 'NP' 'PP'],1
+WHEN JAMES SCHWARTZ was just a lad his father gave him a piece of career advice .,"[array(['WHEN'], dtype=object) array(['JAMES', 'SCHWARTZ'], dtype=object)
+ array(['was'], dtype=object) array(['just', 'a', 'lad'], dtype=object)
+ array(['his', 'father'], dtype=object) array(['gave'], dtype=object)
+ array(['him'], dtype=object) array(['a', 'piece'], dtype=object)
+ array(['of'], dtype=object) array(['career', 'advice'], dtype=object)]",['a' 'piece'],['PP' 'NP' 'ADVP' 'VP'],1
+"SciMed said it `` remains committed '' both to the `` vigorous defense '' of its position that the catheter does n't infringe the Lilly unit 's patent , and to the pursuit of its own counterclaims , which allege Lilly engaged in antitrust violations and other wrongful acts .","[array(['SciMed'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object) array(['remains'], dtype=object)
+ array(['committed'], dtype=object) array(['to'], dtype=object)
+ array(['the', '``', 'vigorous', 'defense'], dtype=object)
+ array(['of'], dtype=object) array(['its', 'position'], dtype=object)
+ array(['that'], dtype=object) array(['the', 'catheter'], dtype=object)
+ array(['does', ""n't"", 'infringe'], dtype=object)
+ array(['the', 'Lilly', 'unit'], dtype=object)
+ array([""'s"", 'patent'], dtype=object) array([',', 'and'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'pursuit'], dtype=object)
+ array(['of'], dtype=object)
+ array(['its', 'own', 'counterclaims'], dtype=object)
+ array(['which'], dtype=object) array(['allege'], dtype=object)
+ array(['Lilly'], dtype=object) array(['engaged'], dtype=object)
+ array(['in'], dtype=object)
+ array(['antitrust', 'violations'], dtype=object)
+ array(['other', 'wrongful', 'acts'], dtype=object)]",['the' 'Lilly' 'unit'],['PP' 'NP' 'VP' 'ADVP'],1
+China said the question of Taiwan 's membership in the General Agreement on Tariffs and Trade should be considered only after China 's own membership in the 97-nation organization is restored .,"[array(['China'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'question'], dtype=object) array(['of'], dtype=object)
+ array(['Taiwan'], dtype=object) array([""'s"", 'membership'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'General', 'Agreement'], dtype=object)
+ array(['on'], dtype=object)
+ array(['Tariffs', 'and', 'Trade'], dtype=object)
+ array(['should', 'be', 'considered'], dtype=object)
+ array(['only', 'after'], dtype=object) array(['China'], dtype=object)
+ array([""'s"", 'own', 'membership'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', '97-nation', 'organization'], dtype=object)
+ array(['is', 'restored'], dtype=object)]",['should' 'be' 'considered'],['NP' 'VP' 'PP' 'ADVP'],1
+"Intel Corp. , Advanced Micro Devices Inc. and National Semiconductor Corp. were all up and running yesterday , though many workers were forced to stay home because of damaged roadways ; others elected to take the day off .","[array(['Intel', 'Corp.'], dtype=object)
+ array(['Advanced', 'Micro', 'Devices', 'Inc.'], dtype=object)
+ array(['National', 'Semiconductor', 'Corp.'], dtype=object)
+ array(['were'], dtype=object) array(['up'], dtype=object)
+ array(['running'], dtype=object) array(['yesterday'], dtype=object)
+ array(['though'], dtype=object) array(['many', 'workers'], dtype=object)
+ array(['were', 'forced', 'to', 'stay'], dtype=object)
+ array(['home'], dtype=object) array(['because', 'of'], dtype=object)
+ array(['damaged', 'roadways'], dtype=object)
+ array(['others'], dtype=object)
+ array(['elected', 'to', 'take'], dtype=object)
+ array(['the', 'day'], dtype=object) array(['off'], dtype=object)]",['were'],['ADVP' 'VP' 'PP' 'NP'],1
+"But although 56 % of the respondents in the study indicated that mental-health problems were fairly pervasive in the workplace , there is still a social stigma associated with people seeking help .","[array(['although'], dtype=object) array(['56', '%'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'respondents'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'study'], dtype=object)
+ array(['indicated'], dtype=object) array(['that'], dtype=object)
+ array(['mental-health', 'problems'], dtype=object)
+ array(['were'], dtype=object)
+ array(['fairly', 'pervasive'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'workplace'], dtype=object) array(['there'], dtype=object)
+ array(['is'], dtype=object) array(['still'], dtype=object)
+ array(['a', 'social', 'stigma'], dtype=object)
+ array(['associated'], dtype=object) array(['with'], dtype=object)
+ array(['people'], dtype=object) array(['seeking'], dtype=object)
+ array(['help'], dtype=object)]",['help'],['ADVP' 'NP' 'PP' 'VP'],1
+"For the year-earlier period , the company reported a loss of $ 520,000 or six cents a share .","[array(['For'], dtype=object)
+ array(['the', 'year-earlier', 'period'], dtype=object)
+ array(['the', 'company'], dtype=object) array(['reported'], dtype=object)
+ array(['a', 'loss'], dtype=object) array(['of'], dtype=object)
+ array(['$', '520,000'], dtype=object)
+ array(['six', 'cents'], dtype=object) array(['a', 'share'], dtype=object)]",['a' 'loss'],['PP' 'NP' 'ADJP' 'VP'],1
+"The Philanthropic Advisory Service of the BBB reviews hundreds of new charities every year , measuring them against minimum standards for accountability ; for accuracy and honesty in solicitation ; and for percentage of funds actually going to work for which the charity was supposedly established .","[array(['The', 'Philanthropic', 'Advisory', 'Service'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'BBB'], dtype=object)
+ array(['reviews'], dtype=object) array(['hundreds'], dtype=object)
+ array(['of'], dtype=object) array(['new', 'charities'], dtype=object)
+ array(['every', 'year'], dtype=object) array(['measuring'], dtype=object)
+ array(['them'], dtype=object) array(['against'], dtype=object)
+ array(['minimum', 'standards'], dtype=object)
+ array(['for'], dtype=object) array(['accountability'], dtype=object)
+ array(['for'], dtype=object)
+ array(['accuracy', 'and', 'honesty'], dtype=object)
+ array(['in'], dtype=object) array(['solicitation'], dtype=object)
+ array([';', 'and'], dtype=object) array(['for'], dtype=object)
+ array(['percentage'], dtype=object) array(['of'], dtype=object)
+ array(['funds'], dtype=object) array(['actually', 'going'], dtype=object)
+ array(['to'], dtype=object) array(['work'], dtype=object)
+ array(['for'], dtype=object) array(['which'], dtype=object)
+ array(['the', 'charity'], dtype=object)
+ array(['was', 'supposedly', 'established'], dtype=object)]",['accountability'],['ADJP' 'NP' 'PP' 'VP'],1
+I have felt many aftershocks .,"[array(['I'], dtype=object) array(['have', 'felt'], dtype=object)
+ array(['many', 'aftershocks'], dtype=object)]",['many' 'aftershocks'],['ADVP' 'NP' 'VP' 'PP'],1
+"`` They 've stepped up to the plate to take the write-downs , but when markets head down , a company is always exposed to further negative surprises , '' Mr. Hoyt said .","[array(['They'], dtype=object) array([""'ve"", 'stepped'], dtype=object)
+ array(['up'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'plate'], dtype=object) array(['to', 'take'], dtype=object)
+ array(['the', 'write-downs'], dtype=object) array(['when'], dtype=object)
+ array(['markets'], dtype=object) array(['head'], dtype=object)
+ array(['down'], dtype=object) array(['a', 'company'], dtype=object)
+ array(['is', 'always', 'exposed'], dtype=object)
+ array(['to'], dtype=object)
+ array(['further', 'negative', 'surprises'], dtype=object)
+ array(['Mr.', 'Hoyt'], dtype=object) array(['said'], dtype=object)]",['the' 'write-downs'],['ADVP' 'NP' 'VP' 'PP'],1
+"The poverty threshold , defined as three times food expenses as calculated by the Agricultural Department , last year was $ 12,092 for a family of four .","[array(['The', 'poverty', 'threshold'], dtype=object)
+ array(['defined'], dtype=object) array(['as'], dtype=object)
+ array(['three', 'times'], dtype=object)
+ array(['food', 'expenses'], dtype=object) array(['as'], dtype=object)
+ array(['calculated'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'Agricultural', 'Department'], dtype=object)
+ array(['last', 'year'], dtype=object) array(['was'], dtype=object)
+ array(['$', '12,092'], dtype=object) array(['for'], dtype=object)
+ array(['a', 'family'], dtype=object) array(['of'], dtype=object)
+ array(['four'], dtype=object)]","['$' '12,092']",['PRT' 'NP' 'PP' 'VP'],1
+"Even before British Air 's announcement , pilot union leaders had been meeting in Chicago yesterday to consider their options .","[array(['Even'], dtype=object) array(['before'], dtype=object)
+ array(['British', 'Air'], dtype=object)
+ array([""'s"", 'announcement'], dtype=object)
+ array(['pilot', 'union', 'leaders'], dtype=object)
+ array(['had', 'been', 'meeting'], dtype=object)
+ array(['in'], dtype=object) array(['Chicago'], dtype=object)
+ array(['yesterday'], dtype=object)
+ array(['to', 'consider'], dtype=object)
+ array(['their', 'options'], dtype=object)]",['had' 'been' 'meeting'],['NP' 'VP' 'ADVP' 'PP'],1
+The diplomat adds that Mr. Krenz has several things going for him .,"[array(['The', 'diplomat'], dtype=object) array(['adds'], dtype=object)
+ array(['that'], dtype=object) array(['Mr.', 'Krenz'], dtype=object)
+ array(['has'], dtype=object) array(['several', 'things'], dtype=object)
+ array(['going'], dtype=object) array(['for'], dtype=object)
+ array(['him'], dtype=object)]",['several' 'things'],['VP' 'NP' 'PP' 'ADJP'],1
+"Among other technology issues , Cray Research rose 1 5\/8 to 37 , Hewlett-Packard added 1 1\/4 to 50 1\/4 , Tandem Computers rallied 1 1\/8 to 25 3\/4 , Data General rose 3\/4 to 14 1\/2 and Motorola gained 2 3\/8 to 59 1\/4 .","[array(['Among'], dtype=object)
+ array(['other', 'technology', 'issues'], dtype=object)
+ array(['Cray', 'Research'], dtype=object) array(['rose'], dtype=object)
+ array(['1', '5\\/8'], dtype=object) array(['to'], dtype=object)
+ array(['37'], dtype=object) array(['Hewlett-Packard'], dtype=object)
+ array(['added'], dtype=object) array(['1', '1\\/4'], dtype=object)
+ array(['to'], dtype=object) array(['50', '1\\/4'], dtype=object)
+ array(['Tandem', 'Computers'], dtype=object)
+ array(['rallied'], dtype=object) array(['1', '1\\/8'], dtype=object)
+ array(['to'], dtype=object) array(['25', '3\\/4'], dtype=object)
+ array(['Data', 'General'], dtype=object) array(['rose'], dtype=object)
+ array(['3\\/4'], dtype=object) array(['to'], dtype=object)
+ array(['14', '1\\/2'], dtype=object) array(['Motorola'], dtype=object)
+ array(['gained'], dtype=object) array(['2', '3\\/8'], dtype=object)
+ array(['to'], dtype=object) array(['59', '1\\/4'], dtype=object)]",['2' '3\\/8'],['PP' 'NP' 'SBAR' 'VP'],1
+"Overall , 12 % of consumers are n't brand loyal for any of the 25 product categories .","[array(['Overall'], dtype=object) array(['12', '%'], dtype=object)
+ array(['of'], dtype=object) array(['consumers'], dtype=object)
+ array(['are'], dtype=object) array(['brand', 'loyal'], dtype=object)
+ array(['for'], dtype=object) array(['any'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', '25', 'product', 'categories'], dtype=object)]",['of'],['NP' 'PP' 'VP' 'ADVP'],1
+"In fact it can be argued that increasing capital commitments by market makers -LRB- a result of some post-1987 crash studies -RRB- also increases market volatility , since the more securities are held by market makers at any given time , the more selling pressure is overhanging the market .","[array(['In'], dtype=object) array(['fact'], dtype=object)
+ array(['it'], dtype=object) array(['can', 'be', 'argued'], dtype=object)
+ array(['that'], dtype=object) array(['increasing'], dtype=object)
+ array(['capital', 'commitments'], dtype=object)
+ array(['by'], dtype=object) array(['market', 'makers'], dtype=object)
+ array(['a', 'result'], dtype=object) array(['of'], dtype=object)
+ array(['some', 'post-1987', 'crash', 'studies'], dtype=object)
+ array(['also'], dtype=object) array(['increases'], dtype=object)
+ array(['market', 'volatility'], dtype=object)
+ array(['since'], dtype=object) array(['securities'], dtype=object)
+ array(['are', 'held'], dtype=object) array(['by'], dtype=object)
+ array(['market', 'makers'], dtype=object) array(['at'], dtype=object)
+ array(['any', 'given', 'time'], dtype=object)
+ array(['selling', 'pressure'], dtype=object)
+ array(['is', 'overhanging'], dtype=object)
+ array(['the', 'market'], dtype=object)]",['by'],['VP' 'PP' 'NP' 'ADJP'],1
+Senators are focusing on making a capital-gains differential permanent .,"[array(['Senators'], dtype=object)
+ array(['are', 'focusing'], dtype=object) array(['on'], dtype=object)
+ array(['making'], dtype=object)
+ array(['a', 'capital-gains', 'differential'], dtype=object)
+ array(['permanent'], dtype=object)]",['permanent'],['VP' 'ADJP' 'NP' 'SBAR'],1
+"Officials from the American Insurance Association 's property-claim service division , which coordinates the efforts of the claims adjusters in an area after a natural disaster , will be flying to San Francisco today .","[array(['Officials'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'American', 'Insurance', 'Association'], dtype=object)
+ array([""'s"", 'property-claim', 'service', 'division'], dtype=object)
+ array(['which'], dtype=object) array(['coordinates'], dtype=object)
+ array(['the', 'efforts'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'claims', 'adjusters'], dtype=object)
+ array(['in'], dtype=object) array(['an', 'area'], dtype=object)
+ array(['after'], dtype=object)
+ array(['a', 'natural', 'disaster'], dtype=object)
+ array(['will', 'be', 'flying'], dtype=object) array(['to'], dtype=object)
+ array(['San', 'Francisco'], dtype=object) array(['today'], dtype=object)]",['to'],['NP' 'PP' 'ADJP' 'VP'],1
+"Still , few investors are able to sit tight when they are convinced a recession is coming .","[array(['Still'], dtype=object) array(['few', 'investors'], dtype=object)
+ array(['are'], dtype=object) array(['able'], dtype=object)
+ array(['to', 'sit'], dtype=object) array(['tight'], dtype=object)
+ array(['when'], dtype=object) array(['they'], dtype=object)
+ array(['are'], dtype=object) array(['convinced'], dtype=object)
+ array(['a', 'recession'], dtype=object)
+ array(['is', 'coming'], dtype=object)]",['is' 'coming'],['SBAR' 'VP' 'PP' 'NP'],1
+"whose Della Femina McNamee WCRS agency created liar Joe Isuzu , among others -- announced a massive restructuring that largely removes it from the advertising business and includes selling the majority of its advertising unit to Paris-based Eurocom .","[array(['whose', 'Della', 'Femina', 'McNamee', 'WCRS', 'agency'],
+       dtype=object)
+ array(['created'], dtype=object)
+ array(['liar', 'Joe', 'Isuzu'], dtype=object)
+ array(['among'], dtype=object) array(['others'], dtype=object)
+ array(['announced'], dtype=object)
+ array(['a', 'massive', 'restructuring'], dtype=object)
+ array(['that'], dtype=object) array(['largely', 'removes'], dtype=object)
+ array(['it'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'advertising', 'business'], dtype=object)
+ array(['includes', 'selling'], dtype=object)
+ array(['the', 'majority'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'advertising', 'unit'], dtype=object)
+ array(['to'], dtype=object)
+ array(['Paris-based', 'Eurocom'], dtype=object)]",['created'],['ADJP' 'VP' 'PP' 'NP'],1
+"`` There is n't much question there will continue to be a ripple effect , '' said John Reidy , an analyst with Drexel Burnham Lambert Inc .","[array(['There'], dtype=object) array(['is'], dtype=object)
+ array(['much', 'question'], dtype=object) array(['there'], dtype=object)
+ array(['will', 'continue', 'to', 'be'], dtype=object)
+ array(['a', 'ripple', 'effect'], dtype=object)
+ array(['said'], dtype=object) array(['John', 'Reidy'], dtype=object)
+ array(['an', 'analyst'], dtype=object) array(['with'], dtype=object)
+ array(['Drexel', 'Burnham', 'Lambert', 'Inc'], dtype=object)]",['will' 'continue' 'to' 'be'],['ADVP' 'VP' 'NP' 'PP'],1
+The damage reported focused on a select few who owned irreplaceable historic homes on the Battery .,"[array(['The', 'damage'], dtype=object) array(['reported'], dtype=object)
+ array(['focused'], dtype=object) array(['on'], dtype=object)
+ array(['a', 'select', 'few'], dtype=object) array(['who'], dtype=object)
+ array(['owned'], dtype=object)
+ array(['irreplaceable', 'historic', 'homes'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'Battery'], dtype=object)]",['who'],['PP' 'NP' 'SBAR' 'VP'],1
+"Moreover , both men have hewn to a similar hard-line philosophy .","[array(['Moreover'], dtype=object) array(['both', 'men'], dtype=object)
+ array(['have', 'hewn'], dtype=object) array(['to'], dtype=object)
+ array(['a', 'similar', 'hard-line', 'philosophy'], dtype=object)]",['a' 'similar' 'hard-line' 'philosophy'],['ADJP' 'NP' 'VP' 'PP'],1
+The notification policy was part of a set of guidelines on handling coups outlined in a secret 1988 exchange of letters between the Reagan administration and the Senate Intelligence Committee .,"[array(['The', 'notification', 'policy'], dtype=object)
+ array(['was'], dtype=object) array(['part'], dtype=object)
+ array(['of'], dtype=object) array(['a', 'set'], dtype=object)
+ array(['of'], dtype=object) array(['guidelines'], dtype=object)
+ array(['on'], dtype=object) array(['handling'], dtype=object)
+ array(['coups'], dtype=object) array(['outlined'], dtype=object)
+ array(['in'], dtype=object)
+ array(['a', 'secret', '1988', 'exchange'], dtype=object)
+ array(['of'], dtype=object) array(['letters'], dtype=object)
+ array(['between'], dtype=object)
+ array(['the', 'Reagan', 'administration'], dtype=object)
+ array(['the', 'Senate', 'Intelligence', 'Committee'], dtype=object)]",['part'],['VP' 'NP' 'PP' 'ADVP'],1
+"She concedes that such a position is `` unfair '' to the thousands of conscientious and qualified people plying the trade , but as a consumer advocate she feels impelled to take it .","[array(['She'], dtype=object) array(['concedes'], dtype=object)
+ array(['that'], dtype=object)
+ array(['such', 'a', 'position'], dtype=object)
+ array(['is'], dtype=object) array(['``', 'unfair'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'thousands'], dtype=object)
+ array(['of'], dtype=object)
+ array(['conscientious', 'and', 'qualified', 'people'], dtype=object)
+ array(['plying'], dtype=object) array(['the', 'trade'], dtype=object)
+ array(['as'], dtype=object)
+ array(['a', 'consumer', 'advocate'], dtype=object)
+ array(['she'], dtype=object)
+ array(['feels', 'impelled', 'to', 'take'], dtype=object)
+ array(['it'], dtype=object)]",['as'],['VP' 'PP' 'NP' 'ADVP'],1
+"The announcement boosted the charter-shipping company 's shares , which closed at $ 15.125 , up $ 1.25 a share , in composite trading on the American Stock Exchange .","[array(['The', 'announcement'], dtype=object)
+ array(['boosted'], dtype=object)
+ array(['the', 'charter-shipping', 'company'], dtype=object)
+ array([""'s"", 'shares'], dtype=object) array(['which'], dtype=object)
+ array(['closed'], dtype=object) array(['at'], dtype=object)
+ array(['$', '15.125'], dtype=object) array(['up'], dtype=object)
+ array(['$', '1.25'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['in'], dtype=object) array(['composite', 'trading'], dtype=object)
+ array(['on'], dtype=object)
+ array(['the', 'American', 'Stock', 'Exchange'], dtype=object)]",['up'],['NP' 'ADVP' 'ADJP' 'PP'],1
+"Meanwhile , surviving Texas banking institutions are busily pitching themselves as the only lenders who truly care about the state .","[array(['Meanwhile'], dtype=object)
+ array(['surviving', 'Texas', 'banking', 'institutions'], dtype=object)
+ array(['are', 'busily', 'pitching'], dtype=object)
+ array(['themselves'], dtype=object) array(['as'], dtype=object)
+ array(['the', 'only', 'lenders'], dtype=object)
+ array(['who'], dtype=object) array(['truly'], dtype=object)
+ array(['care'], dtype=object) array(['about'], dtype=object)
+ array(['the', 'state'], dtype=object)]",['as'],['NP' 'PP' 'VP' 'ADJP'],1
+"In 1986 , Stamford officials thanked Mr. Hoelzer for taking care of the mural -- and demanded he return it as soon as possible .","[array(['In'], dtype=object) array(['1986'], dtype=object)
+ array(['Stamford', 'officials'], dtype=object)
+ array(['thanked'], dtype=object) array(['Mr.', 'Hoelzer'], dtype=object)
+ array(['for'], dtype=object) array(['taking'], dtype=object)
+ array(['care'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'mural'], dtype=object) array(['demanded'], dtype=object)
+ array(['he'], dtype=object) array(['return'], dtype=object)
+ array(['it'], dtype=object) array(['as', 'soon'], dtype=object)
+ array(['as'], dtype=object) array(['possible'], dtype=object)]",['In'],['SBAR' 'PP' 'NP' 'VP'],1
+"Fujisawa Pharmaceutical gained 130 to 1,930 yen -LRB- $ 13.64 -RRB- a share , Mochida Pharmaceutical was up 150 at 4,170 , and Eisai advanced 60 to 2,360 .","[array(['Fujisawa', 'Pharmaceutical'], dtype=object)
+ array(['gained'], dtype=object) array(['130'], dtype=object)
+ array(['to'], dtype=object) array(['1,930', 'yen'], dtype=object)
+ array(['$', '13.64'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['Mochida', 'Pharmaceutical'], dtype=object)
+ array(['was'], dtype=object) array(['up'], dtype=object)
+ array(['150'], dtype=object) array(['at'], dtype=object)
+ array(['4,170'], dtype=object) array(['Eisai'], dtype=object)
+ array(['advanced'], dtype=object) array(['60'], dtype=object)
+ array(['to'], dtype=object) array(['2,360'], dtype=object)]",['Mochida' 'Pharmaceutical'],['PP' 'NP' 'ADJP' 'VP'],1
+"Mr. Carrion , who will now serve as president and chief executive officer of the subsidiary bank , added : `` We 'll be able to better compete with large foreign banks .","[array(['Mr.', 'Carrion'], dtype=object) array(['who'], dtype=object)
+ array(['will', 'now', 'serve'], dtype=object) array(['as'], dtype=object)
+ array(['president'], dtype=object)
+ array(['chief', 'executive', 'officer'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'subsidiary', 'bank'], dtype=object)
+ array(['added'], dtype=object) array(['We'], dtype=object)
+ array([""'ll"", 'be'], dtype=object) array(['able'], dtype=object)
+ array(['to', 'better', 'compete'], dtype=object)
+ array(['with'], dtype=object)
+ array(['large', 'foreign', 'banks'], dtype=object)]",['able'],['VP' 'ADJP' 'NP' 'PRT'],1
+"Skiing , after all , has mainly been for the young and daring and many baby boomers have outgrown skiing or have too many family responsibilities to stick with the sport .","[array(['Skiing'], dtype=object) array(['after'], dtype=object)
+ array(['all'], dtype=object)
+ array(['has', 'mainly', 'been'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'young', 'and', 'daring'], dtype=object)
+ array(['many', 'baby', 'boomers'], dtype=object)
+ array(['have', 'outgrown'], dtype=object) array(['skiing'], dtype=object)
+ array(['have'], dtype=object)
+ array(['too', 'many', 'family', 'responsibilities'], dtype=object)
+ array(['to', 'stick'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'sport'], dtype=object)]",['after'],['ADVP' 'PP' 'VP' 'NP'],1
+"`` Long-term investing -- that 's not Steinhardt 's style , '' chuckles an investor who once worked at Steinhardt Partners .","[array(['Long-term', 'investing'], dtype=object)
+ array(['that'], dtype=object) array([""'s""], dtype=object)
+ array(['Steinhardt'], dtype=object) array([""'s"", 'style'], dtype=object)
+ array(['chuckles'], dtype=object) array(['an', 'investor'], dtype=object)
+ array(['who'], dtype=object) array(['once'], dtype=object)
+ array(['worked'], dtype=object) array(['at'], dtype=object)
+ array(['Steinhardt', 'Partners'], dtype=object)]",['worked'],['NP' 'VP' 'ADVP' 'PP'],1
+And federal officials are promising to move rapidly with federal highway aid to rebuild the area 's severely damaged road system .,"[array(['federal', 'officials'], dtype=object)
+ array(['are', 'promising', 'to', 'move'], dtype=object)
+ array(['rapidly'], dtype=object) array(['with'], dtype=object)
+ array(['federal', 'highway', 'aid'], dtype=object)
+ array(['to', 'rebuild'], dtype=object)
+ array(['the', 'area'], dtype=object) array([""'s""], dtype=object)
+ array(['severely', 'damaged'], dtype=object)
+ array(['road', 'system'], dtype=object)]",['federal' 'officials'],['VP' 'NP' 'PP' 'SBAR'],1
+"The older one looks like a member of the jury for a literary award , the younger one looks like a novelist .","[array(['The', 'older', 'one'], dtype=object)
+ array(['looks'], dtype=object) array(['like'], dtype=object)
+ array(['a', 'member'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'jury'], dtype=object) array(['for'], dtype=object)
+ array(['a', 'literary', 'award'], dtype=object)
+ array(['the', 'younger', 'one'], dtype=object)
+ array(['looks'], dtype=object) array(['like'], dtype=object)
+ array(['a', 'novelist'], dtype=object)]",['a' 'novelist'],['VP' 'NP' 'PP' 'ADVP'],1
+"The axiom appears to be that the more valuable the asset , the harder the privatization process .","[array(['The', 'axiom'], dtype=object)
+ array(['appears', 'to', 'be'], dtype=object)
+ array(['that'], dtype=object) array(['the', 'asset'], dtype=object)
+ array(['the', 'privatization', 'process'], dtype=object)]",['that'],['NP' 'SBAR' 'PP' 'VP'],1
+"Rated Baa-2 by Moody 's Investors Service Inc. and triple-B-minus by Standard & Poor 's Corp. , the issue will be sold through underwriters led by Merrill Lynch Capital Markets .","[array(['Rated'], dtype=object) array(['Baa-2'], dtype=object)
+ array(['by'], dtype=object) array(['Moody'], dtype=object)
+ array([""'s"", 'Investors', 'Service', 'Inc.'], dtype=object)
+ array(['triple-B-minus'], dtype=object) array(['by'], dtype=object)
+ array(['Standard', '&', 'Poor'], dtype=object)
+ array([""'s"", 'Corp.'], dtype=object)
+ array(['the', 'issue'], dtype=object)
+ array(['will', 'be', 'sold'], dtype=object)
+ array(['through'], dtype=object) array(['underwriters'], dtype=object)
+ array(['led'], dtype=object) array(['by'], dtype=object)
+ array(['Merrill', 'Lynch', 'Capital', 'Markets'], dtype=object)]",['through'],['NP' 'SBAR' 'PP' 'VP'],2
+"Barring any petroleum-related news events , trading in the days ahead should further test recent projections by oil economists and other market watchers that strong fourth-quarter demand will keep prices firm .","[array(['Barring'], dtype=object)
+ array(['any', 'petroleum-related', 'news', 'events'], dtype=object)
+ array(['trading'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'days'], dtype=object) array(['ahead'], dtype=object)
+ array(['should', 'further', 'test'], dtype=object)
+ array(['recent', 'projections'], dtype=object)
+ array(['by'], dtype=object) array(['oil', 'economists'], dtype=object)
+ array(['other', 'market', 'watchers'], dtype=object)
+ array(['that'], dtype=object)
+ array(['strong', 'fourth-quarter', 'demand'], dtype=object)
+ array(['will', 'keep'], dtype=object) array(['prices'], dtype=object)
+ array(['firm'], dtype=object)]",['the' 'days'],['VP' 'ADJP' 'NP' 'PP'],2
+"We are prepared to support those changes , '' said Mr. Mosbacher .","[array(['We'], dtype=object)
+ array(['are', 'prepared', 'to', 'support'], dtype=object)
+ array(['those', 'changes'], dtype=object) array(['said'], dtype=object)
+ array(['Mr.', 'Mosbacher'], dtype=object)]",['are' 'prepared' 'to' 'support'],['ADVP' 'SBAR' 'VP' 'PP'],2
+"Isler Sailing International 's advisory board includes Ted Turner , Turner Broadcasting chairman and a former Cup victor ; Peter G. Diamandis , head of Diamandis Communications , and Joseph B. Vittoria , chairman and chief executive of Avis Inc .","[array(['Isler', 'Sailing', 'International'], dtype=object)
+ array([""'s"", 'advisory', 'board'], dtype=object)
+ array(['includes'], dtype=object) array(['Ted', 'Turner'], dtype=object)
+ array(['Turner', 'Broadcasting', 'chairman'], dtype=object)
+ array(['a', 'former', 'Cup', 'victor'], dtype=object)
+ array(['Peter', 'G.', 'Diamandis'], dtype=object)
+ array(['head'], dtype=object) array(['of'], dtype=object)
+ array(['Diamandis', 'Communications'], dtype=object)
+ array(['Joseph', 'B.', 'Vittoria'], dtype=object)
+ array(['chairman'], dtype=object)
+ array(['chief', 'executive'], dtype=object) array(['of'], dtype=object)
+ array(['Avis', 'Inc'], dtype=object)]",['Isler' 'Sailing' 'International'],['VP' 'PP' 'NP' 'ADVP'],2
+There was no appreciable market impact from the California earthquake .,"[array(['There'], dtype=object) array(['was'], dtype=object)
+ array(['no', 'appreciable', 'market', 'impact'], dtype=object)
+ array(['from'], dtype=object)
+ array(['the', 'California', 'earthquake'], dtype=object)]",['the' 'California' 'earthquake'],['ADVP' 'VP' 'NP' 'PP'],2
+Mr. Johnson is a staff reporter in The Wall Street Journal 's Chicago bureau .,"[array(['Mr.', 'Johnson'], dtype=object) array(['is'], dtype=object)
+ array(['a', 'staff', 'reporter'], dtype=object)
+ array(['in'], dtype=object)
+ array(['The', 'Wall', 'Street', 'Journal'], dtype=object)
+ array([""'s"", 'Chicago', 'bureau'], dtype=object)]",['The' 'Wall' 'Street' 'Journal'],['ADJP' 'SBAR' 'NP' 'VP'],2
+"`` We 're strongly recommending that anyone who has eaten in the cafeteria this month have the shot , '' Mr. Mattausch added , `` and that means virtually everyone who works here .","[array(['We'], dtype=object)
+ array([""'re"", 'strongly', 'recommending'], dtype=object)
+ array(['that'], dtype=object) array(['anyone'], dtype=object)
+ array(['who'], dtype=object) array(['has', 'eaten'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'cafeteria'], dtype=object)
+ array(['this', 'month'], dtype=object) array(['have'], dtype=object)
+ array(['the', 'shot'], dtype=object)
+ array(['Mr.', 'Mattausch'], dtype=object) array(['added'], dtype=object)
+ array(['that'], dtype=object) array(['means'], dtype=object)
+ array(['virtually', 'everyone'], dtype=object)
+ array(['who'], dtype=object) array(['works'], dtype=object)
+ array(['here'], dtype=object)]",['here'],['VP' 'PP' 'ADVP' 'NP'],2
+"The Federal Reserve System is the standard object of suggestions for organizational and institutional changes , for two reasons .","[array(['The', 'Federal', 'Reserve', 'System'], dtype=object)
+ array(['is'], dtype=object)
+ array(['the', 'standard', 'object'], dtype=object)
+ array(['of'], dtype=object) array(['suggestions'], dtype=object)
+ array(['for'], dtype=object)
+ array(['organizational', 'and', 'institutional', 'changes'], dtype=object)
+ array(['for'], dtype=object) array(['two', 'reasons'], dtype=object)]",['is'],['PP' 'SBAR' 'VP' 'NP'],2
+"But when Harley last week publicly questioned the legality of the group 's filing procedures , the Rochester , N.Y. , investor said `` we complied with every law , '' and he denied any wrongdoing .","[array(['when'], dtype=object) array(['Harley'], dtype=object)
+ array(['last', 'week'], dtype=object) array(['publicly'], dtype=object)
+ array(['questioned'], dtype=object)
+ array(['the', 'legality'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'group'], dtype=object)
+ array([""'s"", 'filing', 'procedures'], dtype=object)
+ array(['the', 'Rochester', ',', 'N.Y.', ',', 'investor'], dtype=object)
+ array(['said'], dtype=object) array(['we'], dtype=object)
+ array(['complied'], dtype=object) array(['with'], dtype=object)
+ array(['every', 'law'], dtype=object) array(['he'], dtype=object)
+ array(['denied'], dtype=object)
+ array(['any', 'wrongdoing'], dtype=object)]",['when'],['VP' 'PP' 'ADVP' 'NP'],2
+"Instead of hiring one of the many active managers specializing in growth stocks , indexers can design a portfolio around the same stocks ; the portfolio will be maintained by computer , reducing both fees and , in theory , risk -LRB- because of the large number of stocks -RRB- .","[array(['Instead', 'of'], dtype=object) array(['hiring'], dtype=object)
+ array(['one'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'many', 'active', 'managers'], dtype=object)
+ array(['specializing'], dtype=object) array(['in'], dtype=object)
+ array(['growth', 'stocks'], dtype=object)
+ array(['indexers'], dtype=object) array(['can', 'design'], dtype=object)
+ array(['a', 'portfolio'], dtype=object) array(['around'], dtype=object)
+ array(['the', 'same', 'stocks'], dtype=object)
+ array(['the', 'portfolio'], dtype=object)
+ array(['will', 'be', 'maintained'], dtype=object)
+ array(['by'], dtype=object) array(['computer'], dtype=object)
+ array(['reducing'], dtype=object) array(['both'], dtype=object)
+ array(['fees'], dtype=object) array(['in'], dtype=object)
+ array(['theory'], dtype=object) array(['risk'], dtype=object)
+ array(['because', 'of'], dtype=object)
+ array(['the', 'large', 'number'], dtype=object)
+ array(['of'], dtype=object) array(['stocks'], dtype=object)]",['both'],['ADVP' 'PP' 'NP' 'VP'],2
+"The results topped analysts ' expectations and the earnings growth of competitors , prompting traders to all but forget the product-launch delays that bogged down the company for much of the past two years .","[array(['The', 'results'], dtype=object) array(['topped'], dtype=object)
+ array(['analysts'], dtype=object)
+ array([""'"", 'expectations'], dtype=object)
+ array(['the', 'earnings', 'growth'], dtype=object)
+ array(['of'], dtype=object) array(['competitors'], dtype=object)
+ array(['prompting'], dtype=object) array(['traders'], dtype=object)
+ array(['to', 'all', 'but', 'forget'], dtype=object)
+ array(['the', 'product-launch', 'delays'], dtype=object)
+ array(['that'], dtype=object) array(['bogged'], dtype=object)
+ array(['down'], dtype=object) array(['the', 'company'], dtype=object)
+ array(['for'], dtype=object) array(['much'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'past', 'two', 'years'], dtype=object)]",['down'],['PP' 'NP' 'PRT' 'VP'],2
+"`` The beautiful look of wool , '' croons the show 's narrator , `` slightly Victorian in its influence ... . ''","[array(['The', 'beautiful', 'look'], dtype=object)
+ array(['of'], dtype=object) array(['wool'], dtype=object)
+ array(['croons'], dtype=object) array(['the', 'show'], dtype=object)
+ array([""'s"", 'narrator'], dtype=object)
+ array(['slightly', 'Victorian'], dtype=object)
+ array(['in'], dtype=object) array(['its', 'influence'], dtype=object)]",['of'],['NP' 'ADJP' 'PP' 'VP'],2
+They have sent a letter to congressional tax-writers asking that gains from the sale of collectibles also be given preferential treatment .,"[array(['They'], dtype=object) array(['have', 'sent'], dtype=object)
+ array(['a', 'letter'], dtype=object) array(['to'], dtype=object)
+ array(['congressional', 'tax-writers'], dtype=object)
+ array(['asking'], dtype=object) array(['that'], dtype=object)
+ array(['gains'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'sale'], dtype=object) array(['of'], dtype=object)
+ array(['collectibles'], dtype=object) array(['also'], dtype=object)
+ array(['be', 'given'], dtype=object)
+ array(['preferential', 'treatment'], dtype=object)]",['the' 'sale'],['VP' 'PP' 'NP' 'PRT'],2
+"Expect , of course , sky-high prices on other dates near the holidays when the airlines know vacationers are eager to travel .","[array(['Expect'], dtype=object) array(['of'], dtype=object)
+ array(['course'], dtype=object)
+ array(['sky-high', 'prices'], dtype=object) array(['on'], dtype=object)
+ array(['other', 'dates'], dtype=object) array(['near'], dtype=object)
+ array(['the', 'holidays'], dtype=object) array(['when'], dtype=object)
+ array(['the', 'airlines'], dtype=object) array(['know'], dtype=object)
+ array(['vacationers'], dtype=object) array(['are'], dtype=object)
+ array(['eager'], dtype=object) array(['to', 'travel'], dtype=object)]",['when'],['VP' 'PP' 'ADVP' 'NP'],2
+"As thanks , the egg industry tried to break him .","[array(['As'], dtype=object) array(['thanks'], dtype=object)
+ array(['the', 'egg', 'industry'], dtype=object)
+ array(['tried', 'to', 'break'], dtype=object)
+ array(['him'], dtype=object)]",['him'],['PP' 'VP' 'NP' 'ADVP'],2
+"`` Regardless of whether one supports or opposes the right to an abortion , '' Mr. Freind argues , `` it is virtually impossible for any rational human being to disagree with the concept that a woman has the right to have all of the appropriate materials and advice made available to her before she makes a decision which , one way or the other , might remain with her for the rest of her life . ''","[array(['Regardless'], dtype=object) array(['of'], dtype=object)
+ array(['whether'], dtype=object) array(['one'], dtype=object)
+ array(['supports', 'or', 'opposes'], dtype=object)
+ array(['the', 'right'], dtype=object) array(['to'], dtype=object)
+ array(['an', 'abortion'], dtype=object)
+ array(['Mr.', 'Freind'], dtype=object) array(['argues'], dtype=object)
+ array(['it'], dtype=object) array(['is'], dtype=object)
+ array(['virtually', 'impossible'], dtype=object)
+ array(['for'], dtype=object)
+ array(['any', 'rational', 'human', 'being'], dtype=object)
+ array(['to', 'disagree'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'concept'], dtype=object) array(['that'], dtype=object)
+ array(['a', 'woman'], dtype=object) array(['has'], dtype=object)
+ array(['the', 'right'], dtype=object) array(['to', 'have'], dtype=object)
+ array(['all'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'appropriate', 'materials', 'and', 'advice'], dtype=object)
+ array(['made'], dtype=object) array(['available'], dtype=object)
+ array(['to'], dtype=object) array(['her'], dtype=object)
+ array(['before'], dtype=object) array(['she'], dtype=object)
+ array(['makes'], dtype=object) array(['a', 'decision'], dtype=object)
+ array(['which'], dtype=object) array(['one', 'way'], dtype=object)
+ array(['the', 'other'], dtype=object)
+ array(['might', 'remain'], dtype=object) array(['with'], dtype=object)
+ array(['her'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'rest'], dtype=object) array(['of'], dtype=object)
+ array(['her', 'life'], dtype=object)]",['makes'],['ADVP' 'PP' 'VP' 'NP'],2
+"`` It 's more of an important issue to keep control of those assets , rather than push the investor to move into -LRB- specific -RRB- products such as equities , '' Mr. Grano says .","[array(['It'], dtype=object) array([""'s""], dtype=object)
+ array(['more'], dtype=object) array(['of'], dtype=object)
+ array(['an', 'important', 'issue'], dtype=object)
+ array(['to', 'keep'], dtype=object) array(['control'], dtype=object)
+ array(['of'], dtype=object) array(['those', 'assets'], dtype=object)
+ array(['rather', 'than'], dtype=object) array(['push'], dtype=object)
+ array(['the', 'investor'], dtype=object)
+ array(['to', 'move'], dtype=object) array(['into'], dtype=object)
+ array(['products'], dtype=object) array(['such', 'as'], dtype=object)
+ array(['equities'], dtype=object) array(['Mr.', 'Grano'], dtype=object)
+ array(['says'], dtype=object)]",['It'],['PP' 'ADJP' 'NP' 'VP'],2
+"For the quarter , Textron said aerospace revenue , including Bell helicopter and jet-engine manufacture , declined 9.8 % to $ 755.9 million from $ 838.3 million , an indication of slowing government defense work .","[array(['For'], dtype=object) array(['the', 'quarter'], dtype=object)
+ array(['Textron'], dtype=object) array(['said'], dtype=object)
+ array(['aerospace', 'revenue'], dtype=object)
+ array(['including'], dtype=object)
+ array(['Bell', 'helicopter'], dtype=object)
+ array(['jet-engine', 'manufacture'], dtype=object)
+ array(['declined'], dtype=object) array(['9.8', '%'], dtype=object)
+ array(['to'], dtype=object)
+ array(['$', '755.9', 'million'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '838.3', 'million'], dtype=object)
+ array(['an', 'indication'], dtype=object) array(['of'], dtype=object)
+ array(['slowing', 'government', 'defense', 'work'], dtype=object)]",['Bell' 'helicopter'],['SBAR' 'VP' 'NP' 'PP'],2
+"While they can target some of the most obvious miscreants , enforcers concede that they are only scratching the surface .","[array(['While'], dtype=object) array(['they'], dtype=object)
+ array(['can', 'target'], dtype=object) array(['some'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'most', 'obvious', 'miscreants'], dtype=object)
+ array(['enforcers'], dtype=object) array(['concede'], dtype=object)
+ array(['that'], dtype=object) array(['they'], dtype=object)
+ array(['are', 'only', 'scratching'], dtype=object)
+ array(['the', 'surface'], dtype=object)]",['While'],['PP' 'ADJP' 'SBAR' 'NP'],2
+"Bank officials , however , showed him the door , and the sale never came off .","[array(['Bank', 'officials'], dtype=object)
+ array(['however'], dtype=object) array(['showed'], dtype=object)
+ array(['him'], dtype=object) array(['the', 'door'], dtype=object)
+ array(['the', 'sale'], dtype=object) array(['never'], dtype=object)
+ array(['came'], dtype=object) array(['off'], dtype=object)]",['Bank' 'officials'],['PP' 'SBAR' 'NP' 'VP'],2
+"`` So , do n't come and try to con us with a howdy y'all or a cowboy hat . ''","[array(['do', ""n't"", 'come'], dtype=object)
+ array(['try', 'to', 'con'], dtype=object) array(['us'], dtype=object)
+ array(['with'], dtype=object) array(['howdy'], dtype=object)
+ array([""y'all""], dtype=object)
+ array(['a', 'cowboy', 'hat'], dtype=object)]",['us'],['VP' 'PP' 'NP' 'PRT'],2
+"`` Regardless of whether one supports or opposes the right to an abortion , '' Mr. Freind argues , `` it is virtually impossible for any rational human being to disagree with the concept that a woman has the right to have all of the appropriate materials and advice made available to her before she makes a decision which , one way or the other , might remain with her for the rest of her life . ''","[array(['Regardless'], dtype=object) array(['of'], dtype=object)
+ array(['whether'], dtype=object) array(['one'], dtype=object)
+ array(['supports', 'or', 'opposes'], dtype=object)
+ array(['the', 'right'], dtype=object) array(['to'], dtype=object)
+ array(['an', 'abortion'], dtype=object)
+ array(['Mr.', 'Freind'], dtype=object) array(['argues'], dtype=object)
+ array(['it'], dtype=object) array(['is'], dtype=object)
+ array(['virtually', 'impossible'], dtype=object)
+ array(['for'], dtype=object)
+ array(['any', 'rational', 'human', 'being'], dtype=object)
+ array(['to', 'disagree'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'concept'], dtype=object) array(['that'], dtype=object)
+ array(['a', 'woman'], dtype=object) array(['has'], dtype=object)
+ array(['the', 'right'], dtype=object) array(['to', 'have'], dtype=object)
+ array(['all'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'appropriate', 'materials', 'and', 'advice'], dtype=object)
+ array(['made'], dtype=object) array(['available'], dtype=object)
+ array(['to'], dtype=object) array(['her'], dtype=object)
+ array(['before'], dtype=object) array(['she'], dtype=object)
+ array(['makes'], dtype=object) array(['a', 'decision'], dtype=object)
+ array(['which'], dtype=object) array(['one', 'way'], dtype=object)
+ array(['the', 'other'], dtype=object)
+ array(['might', 'remain'], dtype=object) array(['with'], dtype=object)
+ array(['her'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'rest'], dtype=object) array(['of'], dtype=object)
+ array(['her', 'life'], dtype=object)]",['all'],['ADVP' 'VP' 'NP' 'PP'],2
+"Stock-market fears and relatively more attractive interest rates pushed money-market mutual fund assets up $ 6.07 billion in the latest week , the sharpest increase in almost two years .","[array(['Stock-market', 'fears'], dtype=object)
+ array(['relatively', 'more', 'attractive', 'interest', 'rates'],
+       dtype=object)
+ array(['pushed'], dtype=object)
+ array(['money-market', 'mutual', 'fund', 'assets'], dtype=object)
+ array(['up'], dtype=object) array(['$', '6.07', 'billion'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'latest', 'week'], dtype=object)
+ array(['the', 'sharpest', 'increase'], dtype=object)
+ array(['in'], dtype=object)
+ array(['almost', 'two', 'years'], dtype=object)]",['the' 'latest' 'week'],['ADVP' 'VP' 'NP' 'PP'],2
+Minpeco has threatened a `` volcano '' of litigation if the Manufacturers Hanover Corp. unit attempts to force such a plan through the court .,"[array(['Minpeco'], dtype=object)
+ array(['has', 'threatened'], dtype=object)
+ array(['a', '``', 'volcano'], dtype=object) array(['of'], dtype=object)
+ array(['litigation'], dtype=object) array(['if'], dtype=object)
+ array(['the', 'Manufacturers', 'Hanover', 'Corp.', 'unit'], dtype=object)
+ array(['attempts', 'to', 'force'], dtype=object)
+ array(['such', 'a', 'plan'], dtype=object)
+ array(['through'], dtype=object) array(['the', 'court'], dtype=object)]",['has' 'threatened'],['ADVP' 'NP' 'VP' 'PP'],2
+"When he was through , the court members asked many questions , then the chairman said they would like to hear his manager 's side and talk to witnesses .","[array(['When'], dtype=object) array(['he'], dtype=object)
+ array(['was'], dtype=object) array(['through'], dtype=object)
+ array(['the', 'court', 'members'], dtype=object)
+ array(['asked'], dtype=object) array(['many', 'questions'], dtype=object)
+ array(['then'], dtype=object) array(['the', 'chairman'], dtype=object)
+ array(['said'], dtype=object) array(['they'], dtype=object)
+ array(['would', 'like', 'to', 'hear'], dtype=object)
+ array(['his', 'manager'], dtype=object)
+ array([""'s"", 'side'], dtype=object) array(['talk'], dtype=object)
+ array(['to'], dtype=object) array(['witnesses'], dtype=object)]",['they'],['VP' 'ADJP' 'NP' 'PP'],2
+"Then I remembered the quake of '71 , which I experienced in Santa Barbara in a second-story motel room .","[array(['Then'], dtype=object) array(['I'], dtype=object)
+ array(['remembered'], dtype=object) array(['the', 'quake'], dtype=object)
+ array(['of'], dtype=object) array([""'71""], dtype=object)
+ array(['which'], dtype=object) array(['I'], dtype=object)
+ array(['experienced'], dtype=object) array(['in'], dtype=object)
+ array(['Santa', 'Barbara'], dtype=object) array(['in'], dtype=object)
+ array(['a', 'second-story', 'motel', 'room'], dtype=object)]",['I'],['VP' 'ADVP' 'NP' 'ADJP'],2
+"But under the bank 's proposed statutes , an assembly of shareholders must approve board members .","[array(['under'], dtype=object) array(['the', 'bank'], dtype=object)
+ array([""'s"", 'proposed', 'statutes'], dtype=object)
+ array(['an', 'assembly'], dtype=object) array(['of'], dtype=object)
+ array(['shareholders'], dtype=object)
+ array(['must', 'approve'], dtype=object)
+ array(['board', 'members'], dtype=object)]",['under'],['NP' 'VP' 'PP' 'ADJP'],2
+"Canadian Pacific , which has interests in transportation , telecommunications , forest products , energy and real estate , finally took its majority block off the market this spring .","[array(['Canadian', 'Pacific'], dtype=object)
+ array(['which'], dtype=object) array(['has'], dtype=object)
+ array(['interests'], dtype=object) array(['in'], dtype=object)
+ array(['transportation'], dtype=object)
+ array(['telecommunications'], dtype=object)
+ array(['forest', 'products'], dtype=object)
+ array(['energy'], dtype=object) array(['real', 'estate'], dtype=object)
+ array(['finally'], dtype=object) array(['took'], dtype=object)
+ array(['its', 'majority', 'block'], dtype=object)
+ array(['off'], dtype=object) array(['the', 'market'], dtype=object)
+ array(['this', 'spring'], dtype=object)]",['its' 'majority' 'block'],['ADVP' 'VP' 'NP' 'PP'],2
+"When financial professionals measure risk mathematically , they usually focus on the volatility of short-term returns .","[array(['When'], dtype=object)
+ array(['financial', 'professionals'], dtype=object)
+ array(['measure'], dtype=object) array(['risk'], dtype=object)
+ array(['mathematically'], dtype=object) array(['they'], dtype=object)
+ array(['usually'], dtype=object) array(['focus'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'volatility'], dtype=object)
+ array(['of'], dtype=object)
+ array(['short-term', 'returns'], dtype=object)]",['focus'],['ADVP' 'NP' 'VP' 'PP'],2
+"Prices of long-term Treasury bonds hovered in a narrow band most of the day , finishing little changed despite the dollar 's weakness and fears about a wave of government borrowing coming soon .","[array(['Prices'], dtype=object) array(['of'], dtype=object)
+ array(['long-term', 'Treasury', 'bonds'], dtype=object)
+ array(['hovered'], dtype=object) array(['in'], dtype=object)
+ array(['a', 'narrow', 'band'], dtype=object)
+ array(['most'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'day'], dtype=object) array(['finishing'], dtype=object)
+ array(['little', 'changed'], dtype=object)
+ array(['despite'], dtype=object) array(['the', 'dollar'], dtype=object)
+ array([""'s"", 'weakness'], dtype=object) array(['fears'], dtype=object)
+ array(['about'], dtype=object) array(['a', 'wave'], dtype=object)
+ array(['of'], dtype=object)
+ array(['government', 'borrowing'], dtype=object)
+ array(['coming'], dtype=object) array(['soon'], dtype=object)]",['fears'],['PP' 'VP' 'NP' 'SBAR'],2
+"They could attract one-issue voters by adopting the right-to-life movement 's strongest position , even as pro-choice Republicans knew this mattered little on an issue monopolized by the court .","[array(['They'], dtype=object) array(['could', 'attract'], dtype=object)
+ array(['one-issue', 'voters'], dtype=object) array(['by'], dtype=object)
+ array(['adopting'], dtype=object)
+ array(['the', 'right-to-life', 'movement'], dtype=object)
+ array([""'s"", 'strongest', 'position'], dtype=object)
+ array(['even', 'as'], dtype=object)
+ array(['pro-choice', 'Republicans'], dtype=object)
+ array(['knew'], dtype=object) array(['this'], dtype=object)
+ array(['mattered'], dtype=object) array(['little'], dtype=object)
+ array(['on'], dtype=object) array(['an', 'issue'], dtype=object)
+ array(['monopolized'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'court'], dtype=object)]",['monopolized'],['NP' 'PP' 'VP' 'ADVP'],2
+"UAL Corp. 's difficulty in obtaining bank financing for its leveraged buy-out and its resulting price plunge is a tip-off to what 's going to happen to `` takeover stocks , '' says Mr. Canelo .","[array(['UAL', 'Corp.'], dtype=object)
+ array([""'s"", 'difficulty'], dtype=object) array(['in'], dtype=object)
+ array(['obtaining'], dtype=object)
+ array(['bank', 'financing'], dtype=object) array(['for'], dtype=object)
+ array(['its', 'leveraged', 'buy-out'], dtype=object)
+ array(['its', 'resulting', 'price', 'plunge'], dtype=object)
+ array(['is'], dtype=object) array(['a', 'tip-off'], dtype=object)
+ array(['to'], dtype=object) array(['what'], dtype=object)
+ array([""'s"", 'going', 'to', 'happen'], dtype=object)
+ array(['to'], dtype=object) array(['takeover', 'stocks'], dtype=object)
+ array(['says'], dtype=object) array(['Mr.', 'Canelo'], dtype=object)]",['a' 'tip-off'],['PP' 'VP' 'NP' 'ADJP'],2
+2 -RRB- Congressional representatives have two basic responsibilities while voting in office -- dealing with national issues -LRB- programmatic actions such as casting roll call votes on legislation that imposes costs and\/or confers benefits on the population at large -RRB- and attending to local issues -LRB- constituency service and pork barrel -RRB- .,"[array(['2'], dtype=object)
+ array(['Congressional', 'representatives'], dtype=object)
+ array(['have'], dtype=object)
+ array(['two', 'basic', 'responsibilities'], dtype=object)
+ array(['while'], dtype=object) array(['voting'], dtype=object)
+ array(['in'], dtype=object) array(['office'], dtype=object)
+ array(['dealing'], dtype=object) array(['with'], dtype=object)
+ array(['national', 'issues'], dtype=object)
+ array(['programmatic', 'actions'], dtype=object)
+ array(['such', 'as'], dtype=object) array(['casting'], dtype=object)
+ array(['roll', 'call', 'votes'], dtype=object)
+ array(['on'], dtype=object) array(['legislation'], dtype=object)
+ array(['that'], dtype=object) array(['imposes'], dtype=object)
+ array(['costs'], dtype=object) array(['confers'], dtype=object)
+ array(['benefits'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'population'], dtype=object) array(['at'], dtype=object)
+ array(['large'], dtype=object) array(['attending'], dtype=object)
+ array(['to'], dtype=object) array(['local', 'issues'], dtype=object)
+ array(['constituency', 'service'], dtype=object)
+ array(['pork', 'barrel'], dtype=object)]",['that'],['PP' 'ADJP' 'NP' 'VP'],2
+"Among the city 's banks , Bank of America said all but eight of its 850 branches were open .","[array(['Among'], dtype=object) array(['the', 'city'], dtype=object)
+ array([""'s"", 'banks'], dtype=object) array(['Bank'], dtype=object)
+ array(['of'], dtype=object) array(['America'], dtype=object)
+ array(['said'], dtype=object)
+ array(['all', 'but', 'eight'], dtype=object) array(['of'], dtype=object)
+ array(['its', '850', 'branches'], dtype=object)
+ array(['were'], dtype=object) array(['open'], dtype=object)]",['open'],['VP' 'NP' 'ADJP' 'PP'],2
+"Construction of apartments and other multi-family dwellings slipped 2.2 % to an annual rate of 1,022,000 following a 3.5 % decline in August .","[array(['Construction'], dtype=object) array(['of'], dtype=object)
+ array(['apartments'], dtype=object)
+ array(['other', 'multi-family', 'dwellings'], dtype=object)
+ array(['slipped'], dtype=object) array(['2.2', '%'], dtype=object)
+ array(['to'], dtype=object) array(['an', 'annual', 'rate'], dtype=object)
+ array(['of'], dtype=object) array(['1,022,000'], dtype=object)
+ array(['following'], dtype=object)
+ array(['a', '3.5', '%', 'decline'], dtype=object)
+ array(['in'], dtype=object) array(['August'], dtype=object)]",['August'],['PP' 'VP' 'NP' 'ADVP'],2
+"Elsewhere in the group , General Re rose 2 3\/4 to 86 1\/2 , American International Group gained 3 1\/4 to 102 5\/8 , Aetna Life & Casualty added 2 3\/8 to 59 1\/2 and Cigna advanced 7\/8 to 62 1\/2 .","[array(['Elsewhere'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'group'], dtype=object)
+ array(['General', 'Re'], dtype=object) array(['rose'], dtype=object)
+ array(['2', '3\\/4'], dtype=object) array(['to'], dtype=object)
+ array(['86', '1\\/2'], dtype=object)
+ array(['American', 'International', 'Group'], dtype=object)
+ array(['gained'], dtype=object) array(['3', '1\\/4'], dtype=object)
+ array(['to'], dtype=object) array(['102', '5\\/8'], dtype=object)
+ array(['Aetna', 'Life', '&', 'Casualty'], dtype=object)
+ array(['added'], dtype=object) array(['2', '3\\/8'], dtype=object)
+ array(['to'], dtype=object) array(['59', '1\\/2'], dtype=object)
+ array(['Cigna'], dtype=object) array(['advanced'], dtype=object)
+ array(['7\\/8'], dtype=object) array(['to'], dtype=object)
+ array(['62', '1\\/2'], dtype=object)]",['59' '1\\/2'],['PP' 'ADJP' 'NP' 'VP'],2
+"Recruited from New York University 's MBA program , he rose within two years to head of production , overseeing such films as `` The Way We Were , '' `` Taxi Driver , '' `` Tommy '' and `` Shampoo . ''","[array(['Recruited'], dtype=object) array(['from'], dtype=object)
+ array(['New', 'York', 'University'], dtype=object)
+ array([""'s"", 'MBA', 'program'], dtype=object) array(['he'], dtype=object)
+ array(['rose'], dtype=object) array(['within'], dtype=object)
+ array(['two', 'years'], dtype=object) array(['to'], dtype=object)
+ array(['head'], dtype=object) array(['of'], dtype=object)
+ array(['production'], dtype=object) array(['overseeing'], dtype=object)
+ array(['such', 'films'], dtype=object) array(['as'], dtype=object)
+ array(['The', 'Way'], dtype=object) array(['We'], dtype=object)
+ array(['Were'], dtype=object) array(['Taxi', 'Driver'], dtype=object)
+ array(['Tommy'], dtype=object) array(['Shampoo'], dtype=object)]",['Shampoo'],['VP' 'ADVP' 'NP' 'PP'],2
+"`` This is one where I cross party lines , '' she says , rejecting the anti-abortion stance of Rep. Florio 's opponent , Reagan-Republican Rep. James Courter .","[array(['This'], dtype=object) array(['is'], dtype=object)
+ array(['one'], dtype=object) array(['where'], dtype=object)
+ array(['I'], dtype=object) array(['cross'], dtype=object)
+ array(['party', 'lines'], dtype=object) array(['she'], dtype=object)
+ array(['says'], dtype=object) array(['rejecting'], dtype=object)
+ array(['the', 'anti-abortion', 'stance'], dtype=object)
+ array(['of'], dtype=object) array(['Rep.', 'Florio'], dtype=object)
+ array([""'s"", 'opponent'], dtype=object)
+ array(['Reagan-Republican', 'Rep.', 'James', 'Courter'], dtype=object)]",['Rep.' 'Florio'],['VP' 'PP' 'NP' 'ADJP'],2
+"The major gateway to Asia and one of the nation 's 10 busiest airports was closed to all but emergency traffic from the time the quake hit Tuesday afternoon , until 6 a.m. PDT yesterday when controllers returned to the tower .","[array(['The', 'major', 'gateway'], dtype=object)
+ array(['to'], dtype=object) array(['Asia'], dtype=object)
+ array(['one'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'nation'], dtype=object)
+ array([""'s"", '10', 'busiest', 'airports'], dtype=object)
+ array(['was', 'closed'], dtype=object) array(['to'], dtype=object)
+ array(['all'], dtype=object)
+ array(['emergency', 'traffic'], dtype=object)
+ array(['from'], dtype=object) array(['the', 'time'], dtype=object)
+ array(['the', 'quake'], dtype=object) array(['hit'], dtype=object)
+ array(['Tuesday', 'afternoon'], dtype=object)
+ array(['until'], dtype=object)
+ array(['6', 'a.m.', 'PDT', 'yesterday'], dtype=object)
+ array(['when'], dtype=object) array(['controllers'], dtype=object)
+ array(['returned'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'tower'], dtype=object)]",['The' 'major' 'gateway'],['VP' 'ADJP' 'NP' 'ADVP'],2
+`` Empty tank cars will float away on you if you get a big tidal surge . '',"[array(['Empty', 'tank', 'cars'], dtype=object)
+ array(['will', 'float'], dtype=object) array(['away'], dtype=object)
+ array(['on'], dtype=object) array(['you'], dtype=object)
+ array(['if'], dtype=object) array(['you'], dtype=object)
+ array(['get'], dtype=object)
+ array(['a', 'big', 'tidal', 'surge'], dtype=object)]",['get'],['PP' 'ADVP' 'VP' 'NP'],2
+"Earnings from continuing operations of the Union Pacific Resources unit almost doubled , the company said .","[array(['Earnings'], dtype=object) array(['from'], dtype=object)
+ array(['continuing', 'operations'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'Union', 'Pacific', 'Resources', 'unit'], dtype=object)
+ array(['almost'], dtype=object) array(['doubled'], dtype=object)
+ array(['the', 'company'], dtype=object) array(['said'], dtype=object)]",['the' 'Union' 'Pacific' 'Resources' 'unit'],['PP' 'SBAR' 'NP' 'VP'],2
+Earnings of female workers were unchanged .,"[array(['Earnings'], dtype=object) array(['of'], dtype=object)
+ array(['female', 'workers'], dtype=object) array(['were'], dtype=object)
+ array(['unchanged'], dtype=object)]",['female' 'workers'],['ADVP' 'PP' 'NP' 'VP'],2
+Then he sent the pooch 's picture with the certificate of membership -- it was made out to `` Boris ` Bo ' Regaard '' -- to every newspaper he could think of . -RRB-,"[array(['he'], dtype=object) array(['sent'], dtype=object)
+ array(['the', 'pooch'], dtype=object)
+ array([""'s"", 'picture'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'certificate'], dtype=object) array(['of'], dtype=object)
+ array(['membership'], dtype=object) array(['it'], dtype=object)
+ array(['was', 'made'], dtype=object) array(['out'], dtype=object)
+ array(['to'], dtype=object)
+ array(['Boris', '`', 'Bo', ""'"", 'Regaard'], dtype=object)
+ array(['to'], dtype=object) array(['every', 'newspaper'], dtype=object)
+ array(['he'], dtype=object) array(['could', 'think'], dtype=object)
+ array(['of'], dtype=object)]",['membership'],['VP' 'ADVP' 'NP' 'SBAR'],2
+"Debenture holders are expected to convert most of the debentures into common because the value of the stock received in a conversion would exceed the $ 1,103.11 redemption price .","[array(['Debenture', 'holders'], dtype=object)
+ array(['are', 'expected', 'to', 'convert'], dtype=object)
+ array(['most'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'debentures'], dtype=object) array(['into'], dtype=object)
+ array(['common'], dtype=object) array(['because'], dtype=object)
+ array(['the', 'value'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'stock'], dtype=object) array(['received'], dtype=object)
+ array(['in'], dtype=object) array(['a', 'conversion'], dtype=object)
+ array(['would', 'exceed'], dtype=object)
+ array(['the', '$', '1,103.11', 'redemption', 'price'], dtype=object)]",['of'],['ADVP' 'NP' 'PP' 'VP'],2
+"Rep. Garcia , on trial for bribery and extortion , puts statements in the Congressional Record attributing missed votes to `` scheduling conflicts . '' ...","[array(['Rep.', 'Garcia'], dtype=object) array(['on'], dtype=object)
+ array(['trial'], dtype=object) array(['for'], dtype=object)
+ array(['bribery', 'and', 'extortion'], dtype=object)
+ array(['puts'], dtype=object) array(['statements'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'Congressional', 'Record'], dtype=object)
+ array(['attributing'], dtype=object)
+ array(['missed', 'votes'], dtype=object) array(['to'], dtype=object)
+ array(['scheduling', 'conflicts'], dtype=object)]",['statements'],['VP' 'PP' 'NP' 'SBAR'],2
+"The number of building permits issued for future construction dropped 2.4 % to a 1,296,000 annual rate after rising 3.7 % in August .","[array(['The', 'number'], dtype=object) array(['of'], dtype=object)
+ array(['building', 'permits'], dtype=object)
+ array(['issued'], dtype=object) array(['for'], dtype=object)
+ array(['future', 'construction'], dtype=object)
+ array(['dropped'], dtype=object) array(['2.4', '%'], dtype=object)
+ array(['to'], dtype=object)
+ array(['a', '1,296,000', 'annual', 'rate'], dtype=object)
+ array(['after'], dtype=object) array(['rising'], dtype=object)
+ array(['3.7', '%'], dtype=object) array(['in'], dtype=object)
+ array(['August'], dtype=object)]",['dropped'],['NP' 'PP' 'VP' 'ADVP'],2
+"`` I 'm pretty confident I 'm catching everything , '' he says .","[array(['I'], dtype=object) array([""'m""], dtype=object)
+ array(['pretty', 'confident'], dtype=object) array(['I'], dtype=object)
+ array([""'m"", 'catching'], dtype=object)
+ array(['everything'], dtype=object) array(['he'], dtype=object)
+ array(['says'], dtype=object)]",['pretty' 'confident'],['NP' 'PP' 'ADJP' 'VP'],2
+"In most cases , the IRS says , these projects are local or regional , rather than national , and arise because auditors in an area detect some pattern of abuse among , say , factory workers claiming that having a multitude of dependents frees them from tax withholding or yacht owners deducting losses from sideline charter businesses .","[array(['In'], dtype=object) array(['most', 'cases'], dtype=object)
+ array(['the', 'IRS'], dtype=object) array(['says'], dtype=object)
+ array(['these', 'projects'], dtype=object) array(['are'], dtype=object)
+ array(['local', 'or', 'regional'], dtype=object)
+ array(['rather', 'than'], dtype=object) array(['national'], dtype=object)
+ array(['arise'], dtype=object) array(['because'], dtype=object)
+ array(['auditors'], dtype=object) array(['in'], dtype=object)
+ array(['an', 'area'], dtype=object) array(['detect'], dtype=object)
+ array(['some', 'pattern'], dtype=object) array(['of'], dtype=object)
+ array(['abuse'], dtype=object) array(['among'], dtype=object)
+ array(['say'], dtype=object) array(['factory', 'workers'], dtype=object)
+ array(['claiming'], dtype=object) array(['that'], dtype=object)
+ array(['having'], dtype=object) array(['a', 'multitude'], dtype=object)
+ array(['of'], dtype=object) array(['dependents'], dtype=object)
+ array(['frees'], dtype=object) array(['them'], dtype=object)
+ array(['from'], dtype=object) array(['tax', 'withholding'], dtype=object)
+ array(['yacht', 'owners'], dtype=object)
+ array(['deducting'], dtype=object) array(['losses'], dtype=object)
+ array(['from'], dtype=object)
+ array(['sideline', 'charter', 'businesses'], dtype=object)]",['auditors'],['PP' 'ADVP' 'NP' 'VP'],2
+"Personnel Pool -LRB- temporary workers , mostly in the health-care area -RRB- chips in close to 25 % of sales but only about 9 % of earnings .","[array(['Personnel', 'Pool'], dtype=object)
+ array(['temporary', 'workers'], dtype=object)
+ array(['mostly', 'in'], dtype=object)
+ array(['the', 'health-care', 'area'], dtype=object)
+ array(['chips'], dtype=object) array(['in'], dtype=object)
+ array(['close', 'to', '25', '%'], dtype=object)
+ array(['of'], dtype=object) array(['sales'], dtype=object)
+ array(['only', 'about', '9', '%'], dtype=object)
+ array(['of'], dtype=object) array(['earnings'], dtype=object)]",['of'],['NP' 'VP' 'PP' 'ADJP'],2
+Welcome to that welter of contradictions known as Newport Beach .,"[array(['Welcome'], dtype=object) array(['to'], dtype=object)
+ array(['that', 'welter'], dtype=object) array(['of'], dtype=object)
+ array(['contradictions'], dtype=object) array(['known'], dtype=object)
+ array(['as'], dtype=object) array(['Newport', 'Beach'], dtype=object)]",['known'],['ADVP' 'SBAR' 'VP' 'NP'],2
+"Affiliated said it expects to record a pretax gain of about $ 18.5 million from the sale of the credit-card business , which should more than offset any reduction in the carrying value of real estate and real-estate loans on its books .","[array(['Affiliated'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object)
+ array(['expects', 'to', 'record'], dtype=object)
+ array(['a', 'pretax', 'gain'], dtype=object) array(['of'], dtype=object)
+ array(['about', '$', '18.5', 'million'], dtype=object)
+ array(['from'], dtype=object) array(['the', 'sale'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'credit-card', 'business'], dtype=object)
+ array(['which'], dtype=object)
+ array(['should', 'more', 'than', 'offset'], dtype=object)
+ array(['any', 'reduction'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'carrying', 'value'], dtype=object)
+ array(['of'], dtype=object) array(['real', 'estate'], dtype=object)
+ array(['real-estate', 'loans'], dtype=object) array(['on'], dtype=object)
+ array(['its', 'books'], dtype=object)]",['about' '$' '18.5' 'million'],['VP' 'PP' 'NP' 'ADJP'],2
+"The most popular plays of the day were insurance companies such as General Re Corp. , which rose $ 2.75 to $ 86.50 , Nac Re Corp. , up $ 2 to $ 37.75 , American International Group Inc. , up $ 3.25 to $ 102.625 , and Cigna Corp. , up 87.5 cents to $ 62.50 .","[array(['The', 'most', 'popular', 'plays'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'day'], dtype=object)
+ array(['were'], dtype=object)
+ array(['insurance', 'companies'], dtype=object)
+ array(['such', 'as'], dtype=object)
+ array(['General', 'Re', 'Corp.'], dtype=object)
+ array(['which'], dtype=object) array(['rose'], dtype=object)
+ array(['$', '2.75'], dtype=object) array(['to'], dtype=object)
+ array(['$', '86.50'], dtype=object)
+ array(['Nac', 'Re', 'Corp.'], dtype=object) array(['up'], dtype=object)
+ array(['$', '2'], dtype=object) array(['to'], dtype=object)
+ array(['$', '37.75'], dtype=object)
+ array(['American', 'International', 'Group', 'Inc.'], dtype=object)
+ array(['up'], dtype=object) array(['$', '3.25'], dtype=object)
+ array(['to'], dtype=object) array(['$', '102.625'], dtype=object)
+ array(['Cigna', 'Corp.'], dtype=object) array(['up'], dtype=object)
+ array(['87.5', 'cents'], dtype=object) array(['to'], dtype=object)
+ array(['$', '62.50'], dtype=object)]",['were'],['ADVP' 'CONJP' 'VP' 'NP'],2
+"In the year-earlier quarter , the freight railroad earned $ 83 million , or $ 1.21 a share .","[array(['In'], dtype=object)
+ array(['the', 'year-earlier', 'quarter'], dtype=object)
+ array(['the', 'freight', 'railroad'], dtype=object)
+ array(['earned'], dtype=object)
+ array(['$', '83', 'million'], dtype=object)
+ array(['$', '1.21'], dtype=object) array(['a', 'share'], dtype=object)]",['$' '83' 'million'],['VP' 'PP' 'NP' 'ADVP'],2
+He was further questioned to determine if he was `` a real working man or an exploiter . '',"[array(['He'], dtype=object)
+ array(['was', 'further', 'questioned'], dtype=object)
+ array(['to', 'determine'], dtype=object) array(['if'], dtype=object)
+ array(['he'], dtype=object) array(['was'], dtype=object)
+ array(['a', 'real', 'working', 'man'], dtype=object)
+ array(['an', 'exploiter'], dtype=object)]",['was' 'further' 'questioned'],['PP' 'SBAR' 'VP' 'NP'],2
+My position is one founded on both the facts and the law .,"[array(['My', 'position'], dtype=object) array(['is'], dtype=object)
+ array(['one'], dtype=object) array(['founded'], dtype=object)
+ array(['on'], dtype=object) array(['both'], dtype=object)
+ array(['the', 'facts'], dtype=object) array(['the', 'law'], dtype=object)]",['founded'],['SBAR' 'PP' 'VP' 'NP'],2
+Westridge Capital 's frenetic trading reflects the changes sweeping through the previously sleepy world of indexing .,"[array(['Westridge', 'Capital'], dtype=object)
+ array([""'s"", 'frenetic', 'trading'], dtype=object)
+ array(['reflects'], dtype=object) array(['the', 'changes'], dtype=object)
+ array(['sweeping'], dtype=object) array(['through'], dtype=object)
+ array(['the', 'previously', 'sleepy', 'world'], dtype=object)
+ array(['of'], dtype=object) array(['indexing'], dtype=object)]",['through'],['VP' 'NP' 'PP' 'ADJP'],2
+"A cell filled with heavy water is producing 1.0 to 1.5 watts more heat than an identical electrolytic cell filled with ordinary water next to it , reported Turgut M. Gur , an associate of materials scientist Robert A. Huggins , head of the Stanford experimental team .","[array(['A', 'cell'], dtype=object) array(['filled'], dtype=object)
+ array(['with'], dtype=object) array(['heavy', 'water'], dtype=object)
+ array(['is', 'producing'], dtype=object)
+ array(['1.0', 'to', '1.5', 'watts', 'more', 'heat'], dtype=object)
+ array(['than'], dtype=object)
+ array(['an', 'identical', 'electrolytic', 'cell'], dtype=object)
+ array(['filled'], dtype=object) array(['with'], dtype=object)
+ array(['ordinary', 'water'], dtype=object) array(['next'], dtype=object)
+ array(['to'], dtype=object) array(['it'], dtype=object)
+ array(['reported'], dtype=object)
+ array(['Turgut', 'M.', 'Gur'], dtype=object)
+ array(['an', 'associate'], dtype=object) array(['of'], dtype=object)
+ array(['materials', 'scientist', 'Robert', 'A.', 'Huggins'], dtype=object)
+ array(['head'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Stanford', 'experimental', 'team'], dtype=object)]",['filled'],['PP' 'NP' 'VP' 'SBAR'],2
+"For the six months , the company reported a more than sixfold increase in earnings to $ 4.7 million , or 26 cents a share , from $ 625,000 , or four cents a share a year ago .","[array(['For'], dtype=object)
+ array(['the', 'six', 'months'], dtype=object)
+ array(['the', 'company'], dtype=object) array(['reported'], dtype=object)
+ array(['more', 'than', 'sixfold'], dtype=object)
+ array(['increase'], dtype=object) array(['in'], dtype=object)
+ array(['earnings'], dtype=object) array(['to'], dtype=object)
+ array(['$', '4.7', 'million'], dtype=object)
+ array(['26', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['from'], dtype=object) array(['$', '625,000'], dtype=object)
+ array(['four', 'cents'], dtype=object)
+ array(['a', 'share'], dtype=object) array(['a', 'year'], dtype=object)
+ array(['ago'], dtype=object)]",['reported'],['NP' 'PRT' 'VP' 'PP'],2
+Insurance stocks were sold at the opening amid concerns about the level of damage claims the companies would receive as a result of the earthquake .,"[array(['Insurance', 'stocks'], dtype=object)
+ array(['were', 'sold'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'opening'], dtype=object) array(['amid'], dtype=object)
+ array(['concerns'], dtype=object) array(['about'], dtype=object)
+ array(['the', 'level'], dtype=object) array(['of'], dtype=object)
+ array(['damage', 'claims'], dtype=object)
+ array(['the', 'companies'], dtype=object)
+ array(['would', 'receive'], dtype=object) array(['as'], dtype=object)
+ array(['a', 'result'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'earthquake'], dtype=object)]",['about'],['NP' 'ADVP' 'PP' 'VP'],2
+The group noted that 75 million francs of the advance reflected a one-time gain from the June offering by its United Westburne unit in Canada .,"[array(['The', 'group'], dtype=object) array(['noted'], dtype=object)
+ array(['that'], dtype=object)
+ array(['75', 'million', 'francs'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'advance'], dtype=object)
+ array(['reflected'], dtype=object)
+ array(['a', 'one-time', 'gain'], dtype=object)
+ array(['from'], dtype=object)
+ array(['the', 'June', 'offering'], dtype=object)
+ array(['by'], dtype=object)
+ array(['its', 'United', 'Westburne', 'unit'], dtype=object)
+ array(['in'], dtype=object) array(['Canada'], dtype=object)]",['reflected'],['SBAR' 'PP' 'VP' 'NP'],2
+"Jack Byrne , the chairman of Fireman 's Fund Corp. , which is based in Novato , Calif. , estimates insured losses resulting the earthquake could total $ 2 billion .","[array(['Jack', 'Byrne'], dtype=object)
+ array(['the', 'chairman'], dtype=object) array(['of'], dtype=object)
+ array(['Fireman'], dtype=object)
+ array([""'s"", 'Fund', 'Corp.'], dtype=object)
+ array(['which'], dtype=object) array(['is', 'based'], dtype=object)
+ array(['in'], dtype=object) array(['Novato'], dtype=object)
+ array(['Calif.'], dtype=object) array(['estimates'], dtype=object)
+ array(['insured', 'losses'], dtype=object)
+ array(['resulting'], dtype=object)
+ array(['the', 'earthquake'], dtype=object)
+ array(['could', 'total'], dtype=object)
+ array(['$', '2', 'billion'], dtype=object)]",['estimates'],['PP' 'ADVP' 'VP' 'NP'],2
+Market-If-Touched Order : Market-if-touched orders are like stop orders in that they become market orders if a specified price is reached .,"[array(['Market-If-Touched', 'Order'], dtype=object)
+ array(['Market-if-touched', 'orders'], dtype=object)
+ array(['are'], dtype=object) array(['like'], dtype=object)
+ array(['stop', 'orders'], dtype=object)
+ array(['in', 'that'], dtype=object) array(['they'], dtype=object)
+ array(['become'], dtype=object) array(['market', 'orders'], dtype=object)
+ array(['if'], dtype=object)
+ array(['a', 'specified', 'price'], dtype=object)
+ array(['is', 'reached'], dtype=object)]",['in' 'that'],['PP' 'VP' 'SBAR' 'NP'],2
+"After four year of tinkering and $ 2.4 million in seed money , the board set up the new marketplace , titled it the Chicago Board Options Exchange , and named Sullivan its first president .","[array(['After'], dtype=object) array(['four', 'year'], dtype=object)
+ array(['of'], dtype=object) array(['tinkering'], dtype=object)
+ array(['$', '2.4', 'million'], dtype=object) array(['in'], dtype=object)
+ array(['seed', 'money'], dtype=object)
+ array(['the', 'board'], dtype=object) array(['set'], dtype=object)
+ array(['up'], dtype=object)
+ array(['the', 'new', 'marketplace'], dtype=object)
+ array(['titled'], dtype=object) array(['it'], dtype=object)
+ array(['the', 'Chicago', 'Board', 'Options', 'Exchange'], dtype=object)
+ array(['named'], dtype=object) array(['Sullivan'], dtype=object)
+ array(['its', 'first', 'president'], dtype=object)]",['up'],['PP' 'NP' 'PRT' 'VP'],2
+Revenue rose 8.3 % to $ 780 million from $ 720 million .,"[array(['Revenue'], dtype=object) array(['rose'], dtype=object)
+ array(['8.3', '%'], dtype=object) array(['to'], dtype=object)
+ array(['$', '780', 'million'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '720', 'million'], dtype=object)]",['rose'],['ADJP' 'PP' 'VP' 'NP'],2
+"Amdahl Corp. , backed by Japan 's Fujitsu Ltd. , has a growing share of the market with its low-priced , IBM-compatible machines .","[array(['Amdahl', 'Corp.'], dtype=object) array(['backed'], dtype=object)
+ array(['by'], dtype=object) array(['Japan'], dtype=object)
+ array([""'s"", 'Fujitsu', 'Ltd.'], dtype=object)
+ array(['has'], dtype=object)
+ array(['a', 'growing', 'share'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'market'], dtype=object)
+ array(['with'], dtype=object)
+ array(['its', 'low-priced', ',', 'IBM-compatible', 'machines'],
+       dtype=object)                                            ]",['with'],['ADVP' 'NP' 'PP' 'VP'],2
+"In early trading in Tokyo Friday , the Nikkei index rose 170.65 points , to 35544.87 .","[array(['In'], dtype=object) array(['early', 'trading'], dtype=object)
+ array(['in'], dtype=object) array(['Tokyo'], dtype=object)
+ array(['Friday'], dtype=object)
+ array(['the', 'Nikkei', 'index'], dtype=object)
+ array(['rose'], dtype=object) array(['170.65', 'points'], dtype=object)
+ array(['to'], dtype=object) array(['35544.87'], dtype=object)]",['Tokyo'],['ADVP' 'PP' 'NP' 'VP'],2
+"In that case , Guber Peters acquired the rights in 1979 , nursed the movie through a dozen scripts , and were on the set in London for 11 months hovering over the most minute changes in casting and production .","[array(['In'], dtype=object) array(['that', 'case'], dtype=object)
+ array(['Guber', 'Peters'], dtype=object)
+ array(['acquired'], dtype=object) array(['the', 'rights'], dtype=object)
+ array(['in'], dtype=object) array(['1979'], dtype=object)
+ array(['nursed'], dtype=object) array(['the', 'movie'], dtype=object)
+ array(['through'], dtype=object)
+ array(['a', 'dozen', 'scripts'], dtype=object)
+ array(['were'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'set'], dtype=object) array(['in'], dtype=object)
+ array(['London'], dtype=object) array(['for'], dtype=object)
+ array(['11', 'months'], dtype=object) array(['hovering'], dtype=object)
+ array(['over'], dtype=object)
+ array(['the', 'most', 'minute', 'changes'], dtype=object)
+ array(['in'], dtype=object)
+ array(['casting', 'and', 'production'], dtype=object)]",['in'],['VP' 'ADJP' 'PP' 'NP'],2
+"A video sent to association members , featuring shots of the Alamo , cowboys , fajitas and a statue of Sam Houston , does n't mince words .","[array(['A', 'video'], dtype=object) array(['sent'], dtype=object)
+ array(['to'], dtype=object)
+ array(['association', 'members'], dtype=object)
+ array(['featuring'], dtype=object) array(['shots'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'Alamo'], dtype=object)
+ array(['cowboys'], dtype=object) array(['fajitas'], dtype=object)
+ array(['a', 'statue'], dtype=object) array(['of'], dtype=object)
+ array(['Sam', 'Houston'], dtype=object)
+ array(['does', ""n't"", 'mince'], dtype=object)
+ array(['words'], dtype=object)]",['A' 'video'],['SBAR' 'VP' 'NP' 'ADJP'],2
+Civil suits against planners by clients seeking recovery of funds are increasingly common .,"[array(['Civil', 'suits'], dtype=object) array(['against'], dtype=object)
+ array(['planners'], dtype=object) array(['by'], dtype=object)
+ array(['clients'], dtype=object) array(['seeking'], dtype=object)
+ array(['recovery'], dtype=object) array(['of'], dtype=object)
+ array(['funds'], dtype=object) array(['are'], dtype=object)
+ array(['increasingly', 'common'], dtype=object)]",['against'],['NP' 'ADVP' 'PP' 'ADJP'],2
+I come to the floor tonight as one who ended up with a busload of extraneous matter .,"[array(['I'], dtype=object) array(['come'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'floor'], dtype=object)
+ array(['tonight'], dtype=object) array(['as'], dtype=object)
+ array(['one'], dtype=object) array(['who'], dtype=object)
+ array(['ended'], dtype=object) array(['up'], dtype=object)
+ array(['with'], dtype=object) array(['a', 'busload'], dtype=object)
+ array(['of'], dtype=object) array(['extraneous', 'matter'], dtype=object)]",['as'],['NP' 'ADVP' 'PP' 'VP'],2
+"A number of agencies , including Thompson and Foote , Cone & Belding , said some employees who live outside of San Francisco , fearful that they would n't be able to get home , spent the night at the agency .","[array(['A', 'number'], dtype=object) array(['of'], dtype=object)
+ array(['agencies'], dtype=object) array(['including'], dtype=object)
+ array(['Thompson', 'and', 'Foote', ',', 'Cone', '&', 'Belding'],
+       dtype=object)
+ array(['said'], dtype=object) array(['some', 'employees'], dtype=object)
+ array(['who'], dtype=object) array(['live'], dtype=object)
+ array(['outside'], dtype=object) array(['of'], dtype=object)
+ array(['San', 'Francisco'], dtype=object)
+ array(['fearful'], dtype=object) array(['that'], dtype=object)
+ array(['they'], dtype=object) array(['would', ""n't"", 'be'], dtype=object)
+ array(['able'], dtype=object) array(['to', 'get'], dtype=object)
+ array(['home'], dtype=object) array(['spent'], dtype=object)
+ array(['the', 'night'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'agency'], dtype=object)]","['Thompson' 'and' 'Foote' ',' 'Cone' '&' 'Belding']",['ADJP' 'PP' 'NP' 'VP'],2
+"The harvest delays , however , are expected to be temporary .","[array(['The', 'harvest', 'delays'], dtype=object)
+ array(['however'], dtype=object)
+ array(['are', 'expected', 'to', 'be'], dtype=object)
+ array(['temporary'], dtype=object)]",['however'],['NP' 'ADJP' 'ADVP' 'VP'],2
+"As it turned out , bank employees were n't hurt and the vaults withstood the jolts .","[array(['As'], dtype=object) array(['it'], dtype=object)
+ array(['turned'], dtype=object) array(['out'], dtype=object)
+ array(['bank', 'employees'], dtype=object)
+ array(['were', ""n't"", 'hurt'], dtype=object)
+ array(['the', 'vaults'], dtype=object) array(['withstood'], dtype=object)
+ array(['the', 'jolts'], dtype=object)]",['turned'],['SBAR' 'NP' 'VP' 'PP'],2
+"The existence of the policy became known after Bush disclosed it to seven GOP senators last week , citing the plan as an example of congressional requirements the administration contends contribute to the failure of covert actions , officials said .","[array(['The', 'existence'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'policy'], dtype=object)
+ array(['became', 'known'], dtype=object) array(['after'], dtype=object)
+ array(['Bush'], dtype=object) array(['disclosed'], dtype=object)
+ array(['it'], dtype=object) array(['to'], dtype=object)
+ array(['seven', 'GOP', 'senators'], dtype=object)
+ array(['last', 'week'], dtype=object) array(['citing'], dtype=object)
+ array(['the', 'plan'], dtype=object) array(['as'], dtype=object)
+ array(['an', 'example'], dtype=object) array(['of'], dtype=object)
+ array(['congressional', 'requirements'], dtype=object)
+ array(['the', 'administration'], dtype=object)
+ array(['contends'], dtype=object) array(['contribute'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'failure'], dtype=object)
+ array(['of'], dtype=object) array(['covert', 'actions'], dtype=object)
+ array(['officials'], dtype=object) array(['said'], dtype=object)]",['the' 'failure'],['PP' 'ADJP' 'NP' 'VP'],2
+"The 4.52 % net interest margin , or the difference between the yield on a bank 's investments and the rate it pays for deposits and other borrowings , was still markedly higher than the 3.91 % ratio a year earlier , and is among the best in the industry , analysts said .","[array(['The', '4.52', '%', 'net', 'interest', 'margin'], dtype=object)
+ array(['the', 'difference'], dtype=object)
+ array(['between'], dtype=object) array(['the', 'yield'], dtype=object)
+ array(['on'], dtype=object) array(['a', 'bank'], dtype=object)
+ array([""'s"", 'investments'], dtype=object)
+ array(['the', 'rate'], dtype=object) array(['it'], dtype=object)
+ array(['pays'], dtype=object) array(['for'], dtype=object)
+ array(['deposits'], dtype=object)
+ array(['other', 'borrowings'], dtype=object) array(['was'], dtype=object)
+ array(['still'], dtype=object)
+ array(['markedly', 'higher'], dtype=object) array(['than'], dtype=object)
+ array(['the', '3.91', '%', 'ratio'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['earlier'], dtype=object)
+ array(['is'], dtype=object) array(['among'], dtype=object)
+ array(['the', 'best'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'industry'], dtype=object)
+ array(['analysts'], dtype=object) array(['said'], dtype=object)]",['still'],['SBAR' 'PP' 'ADVP' 'NP'],2
+"They noted that because the consumer price index , known as the CPI , is a more comprehensive measure of inflation and is rising less rapidly than the producer-price index , or PPI , it could signal further easing by Fed .","[array(['They'], dtype=object) array(['noted'], dtype=object)
+ array(['that'], dtype=object) array(['because'], dtype=object)
+ array(['the', 'consumer', 'price', 'index'], dtype=object)
+ array(['known'], dtype=object) array(['as'], dtype=object)
+ array(['the', 'CPI'], dtype=object) array(['is'], dtype=object)
+ array(['a', 'more', 'comprehensive', 'measure'], dtype=object)
+ array(['of'], dtype=object) array(['inflation'], dtype=object)
+ array(['is', 'rising'], dtype=object)
+ array(['less', 'rapidly'], dtype=object) array(['than'], dtype=object)
+ array(['the', 'producer-price', 'index'], dtype=object)
+ array(['PPI'], dtype=object) array(['it'], dtype=object)
+ array(['could', 'signal'], dtype=object)
+ array(['further', 'easing'], dtype=object) array(['by'], dtype=object)
+ array(['Fed'], dtype=object)]",['could' 'signal'],['ADJP' 'PP' 'VP' 'NP'],2
+"The bank 's chairman and director general , who also sit on the board , still would be appointed by the Treasury .","[array(['The', 'bank'], dtype=object)
+ array([""'s"", 'chairman', 'and', 'director', 'general'], dtype=object)
+ array(['who'], dtype=object) array(['also'], dtype=object)
+ array(['sit'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'board'], dtype=object) array(['still'], dtype=object)
+ array(['would', 'be', 'appointed'], dtype=object)
+ array(['by'], dtype=object) array(['the', 'Treasury'], dtype=object)]",['the' 'board'],['VP' 'PP' 'NP' 'ADVP'],2
+Brokers around the country say the reaction from individual investors this week has been almost eerie .,"[array(['Brokers'], dtype=object) array(['around'], dtype=object)
+ array(['the', 'country'], dtype=object) array(['say'], dtype=object)
+ array(['the', 'reaction'], dtype=object) array(['from'], dtype=object)
+ array(['individual', 'investors'], dtype=object)
+ array(['this', 'week'], dtype=object)
+ array(['has', 'been'], dtype=object)
+ array(['almost', 'eerie'], dtype=object)]",['this' 'week'],['VP' 'PP' 'NP' 'ADJP'],2
+"According to some analysts familiar with the negotiations , the 10 % of equity would come directly from Donaldson Lufkin and a fund affiliated with the investment bank Blackstone Group , which would reduce their CNW equity holdings by 5 % each .","[array(['According'], dtype=object) array(['to'], dtype=object)
+ array(['some', 'analysts'], dtype=object)
+ array(['familiar'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'negotiations'], dtype=object)
+ array(['the', '10', '%'], dtype=object) array(['of'], dtype=object)
+ array(['equity'], dtype=object) array(['would', 'come'], dtype=object)
+ array(['directly'], dtype=object) array(['from'], dtype=object)
+ array(['Donaldson', 'Lufkin'], dtype=object)
+ array(['a', 'fund'], dtype=object) array(['affiliated'], dtype=object)
+ array(['with'], dtype=object)
+ array(['the', 'investment', 'bank', 'Blackstone', 'Group'], dtype=object)
+ array(['which'], dtype=object) array(['would', 'reduce'], dtype=object)
+ array(['their', 'CNW', 'equity', 'holdings'], dtype=object)
+ array(['by'], dtype=object) array(['5', '%'], dtype=object)
+ array(['each'], dtype=object)]",['the' '10' '%'],['PRT' 'PP' 'NP' 'ADJP'],2
+"GTE shut down its cafeteria Tuesday afternoon after testing determined that at least one cafeteria worker employed by GTE 's private food vending contractor , ARA Services Inc. , was suffering from a strain of the virus , officials said .","[array(['GTE'], dtype=object) array(['shut'], dtype=object)
+ array(['down'], dtype=object) array(['its', 'cafeteria'], dtype=object)
+ array(['Tuesday', 'afternoon'], dtype=object)
+ array(['after'], dtype=object) array(['testing'], dtype=object)
+ array(['determined'], dtype=object) array(['that'], dtype=object)
+ array(['at', 'least', 'one', 'cafeteria', 'worker'], dtype=object)
+ array(['employed'], dtype=object) array(['by'], dtype=object)
+ array(['GTE'], dtype=object)
+ array([""'s"", 'private', 'food', 'vending', 'contractor'], dtype=object)
+ array(['ARA', 'Services', 'Inc.'], dtype=object)
+ array(['was', 'suffering'], dtype=object) array(['from'], dtype=object)
+ array(['a', 'strain'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'virus'], dtype=object) array(['officials'], dtype=object)
+ array(['said'], dtype=object)]",['down'],['ADVP' 'PP' 'PRT' 'VP'],2
+"Shearson , a 62%-owned unit of American Express Co. , did n't have enough time to update its market commentary so , `` We decided to kill our strategy pieces , '' says Jack Rivkin , the head of Shearson 's research department .","[array(['Shearson'], dtype=object)
+ array(['a', '62%-owned', 'unit'], dtype=object)
+ array(['of'], dtype=object)
+ array(['American', 'Express', 'Co.'], dtype=object)
+ array(['did', ""n't"", 'have'], dtype=object)
+ array(['enough', 'time'], dtype=object)
+ array(['to', 'update'], dtype=object)
+ array(['its', 'market', 'commentary'], dtype=object)
+ array(['We'], dtype=object)
+ array(['decided', 'to', 'kill'], dtype=object)
+ array(['our', 'strategy', 'pieces'], dtype=object)
+ array(['says'], dtype=object) array(['Jack', 'Rivkin'], dtype=object)
+ array(['the', 'head'], dtype=object) array(['of'], dtype=object)
+ array(['Shearson'], dtype=object)
+ array([""'s"", 'research', 'department'], dtype=object)]",['Shearson'],['VP' 'PP' 'NP' 'ADVP'],2
+"On Monday , a letter from Mr. Skinner 's deputy , Elaine Chao , said the administration opposed the legislation `` in its present form . ''","[array(['On'], dtype=object) array(['Monday'], dtype=object)
+ array(['a', 'letter'], dtype=object) array(['from'], dtype=object)
+ array(['Mr.', 'Skinner'], dtype=object)
+ array([""'s"", 'deputy'], dtype=object)
+ array(['Elaine', 'Chao'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'administration'], dtype=object)
+ array(['opposed'], dtype=object)
+ array(['the', 'legislation'], dtype=object) array(['in'], dtype=object)
+ array(['its', 'present', 'form'], dtype=object)]","[""'s"" 'deputy']",['VP' 'PP' 'NP' 'ADVP'],2
+"`` I do n't know of any living ballplayer that 's ever done it , '' says Jack Smalling , a dealer in Ames , Iowa , and a recognized expert in the field of baseball autographs .","[array(['I'], dtype=object) array(['do', ""n't"", 'know'], dtype=object)
+ array(['of'], dtype=object)
+ array(['any', 'living', 'ballplayer'], dtype=object)
+ array(['that'], dtype=object) array([""'s"", 'ever', 'done'], dtype=object)
+ array(['it'], dtype=object) array(['says'], dtype=object)
+ array(['Jack', 'Smalling'], dtype=object)
+ array(['a', 'dealer'], dtype=object) array(['in'], dtype=object)
+ array(['Ames'], dtype=object) array(['Iowa'], dtype=object)
+ array(['a', 'recognized', 'expert'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'field'], dtype=object)
+ array(['of'], dtype=object)
+ array(['baseball', 'autographs'], dtype=object)]",['that'],['VP' 'ADVP' 'NP' 'PP'],2
+"From the air , ribbons of yellow fire hose carry water from the bay to high-pressure nozzles trained on the site .","[array(['From'], dtype=object) array(['the', 'air'], dtype=object)
+ array(['ribbons'], dtype=object) array(['of'], dtype=object)
+ array(['yellow', 'fire', 'hose'], dtype=object)
+ array(['carry'], dtype=object) array(['water'], dtype=object)
+ array(['from'], dtype=object) array(['the', 'bay'], dtype=object)
+ array(['to'], dtype=object)
+ array(['high-pressure', 'nozzles'], dtype=object)
+ array(['trained'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'site'], dtype=object)]",['trained'],['SBAR' 'NP' 'VP' 'PP'],2
+"Amex short interest has been heading upward since mid-December , with increases in each month since then except at mid-July .","[array(['Amex', 'short', 'interest'], dtype=object)
+ array(['has', 'been', 'heading'], dtype=object)
+ array(['upward'], dtype=object) array(['since'], dtype=object)
+ array(['mid-December'], dtype=object) array(['with'], dtype=object)
+ array(['increases'], dtype=object) array(['in'], dtype=object)
+ array(['each', 'month'], dtype=object) array(['since'], dtype=object)
+ array(['then'], dtype=object) array(['except'], dtype=object)
+ array(['at'], dtype=object) array(['mid-July'], dtype=object)]",['Amex' 'short' 'interest'],['ADVP' 'VP' 'NP' 'PP'],2
+The major legal barrier is the principle that no one can be held liable for an `` act of God . '',"[array(['The', 'major', 'legal', 'barrier'], dtype=object)
+ array(['is'], dtype=object) array(['the', 'principle'], dtype=object)
+ array(['that'], dtype=object) array(['no', 'one'], dtype=object)
+ array(['can', 'be', 'held'], dtype=object)
+ array(['liable'], dtype=object) array(['for'], dtype=object)
+ array(['an', '``', 'act'], dtype=object) array(['of'], dtype=object)
+ array(['God'], dtype=object)]",['an' '``' 'act'],['PP' 'VP' 'NP' 'SBAR'],2
+They plan to increase cooperation in freight ground-handling and create a world-wide computer system to process cargo .,"[array(['They'], dtype=object)
+ array(['plan', 'to', 'increase'], dtype=object)
+ array(['cooperation'], dtype=object) array(['in'], dtype=object)
+ array(['freight', 'ground-handling'], dtype=object)
+ array(['create'], dtype=object)
+ array(['a', 'world-wide', 'computer', 'system'], dtype=object)
+ array(['to', 'process'], dtype=object) array(['cargo'], dtype=object)]",['plan' 'to' 'increase'],['ADJP' 'NP' 'VP' 'PP'],2
+"Nevertheless , phone service was sporadic ; many computer terminals remained dark , and by late yesterday a third of San Francisco remained without power .","[array(['Nevertheless'], dtype=object)
+ array(['phone', 'service'], dtype=object) array(['was'], dtype=object)
+ array(['sporadic'], dtype=object)
+ array(['many', 'computer', 'terminals'], dtype=object)
+ array(['remained'], dtype=object) array(['dark'], dtype=object)
+ array(['by'], dtype=object) array(['late', 'yesterday'], dtype=object)
+ array(['a', 'third'], dtype=object) array(['of'], dtype=object)
+ array(['San', 'Francisco'], dtype=object)
+ array(['remained'], dtype=object) array(['without'], dtype=object)
+ array(['power'], dtype=object)]",['a' 'third'],['ADJP' 'VP' 'NP' 'PP'],2
+The company also said the transaction would bolster after-tax earnings by $ 3.25 a share when completed and boost its primary capital ratio to 7 % from 6.63 % .,"[array(['The', 'company'], dtype=object) array(['also'], dtype=object)
+ array(['said'], dtype=object) array(['the', 'transaction'], dtype=object)
+ array(['would', 'bolster'], dtype=object)
+ array(['after-tax', 'earnings'], dtype=object)
+ array(['by'], dtype=object) array(['$', '3.25'], dtype=object)
+ array(['a', 'share'], dtype=object) array(['when'], dtype=object)
+ array(['completed'], dtype=object) array(['boost'], dtype=object)
+ array(['its', 'primary', 'capital', 'ratio'], dtype=object)
+ array(['to'], dtype=object) array(['7', '%'], dtype=object)
+ array(['from'], dtype=object) array(['6.63', '%'], dtype=object)]",['The' 'company'],['PP' 'VP' 'NP' 'ADVP'],2
+"`` If it causes management to take their eye off the ball , inventory shrinkage is going to be affected , '' says Lewis Shealy , vice president for loss prevention at Marshall Field 's , the department store chain .","[array(['If'], dtype=object) array(['it'], dtype=object)
+ array(['causes'], dtype=object) array(['management'], dtype=object)
+ array(['to', 'take'], dtype=object) array(['their', 'eye'], dtype=object)
+ array(['off'], dtype=object) array(['the', 'ball'], dtype=object)
+ array(['inventory', 'shrinkage'], dtype=object)
+ array(['is', 'going', 'to', 'be', 'affected'], dtype=object)
+ array(['says'], dtype=object) array(['Lewis', 'Shealy'], dtype=object)
+ array(['vice', 'president'], dtype=object) array(['for'], dtype=object)
+ array(['loss', 'prevention'], dtype=object) array(['at'], dtype=object)
+ array(['Marshall', 'Field'], dtype=object) array([""'s""], dtype=object)
+ array(['the', 'department', 'store', 'chain'], dtype=object)]",['causes'],['NP' 'ADVP' 'VP' 'PP'],2
+An AT&T spokeswoman said the company would likely replace about one-third of its managers who choose to retire with new employees .,"[array(['An', 'AT&T', 'spokeswoman'], dtype=object)
+ array(['said'], dtype=object) array(['the', 'company'], dtype=object)
+ array(['would', 'likely', 'replace'], dtype=object)
+ array(['about', 'one-third'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'managers'], dtype=object) array(['who'], dtype=object)
+ array(['choose', 'to', 'retire'], dtype=object)
+ array(['with'], dtype=object) array(['new', 'employees'], dtype=object)]",['about' 'one-third'],['PP' 'ADVP' 'NP' 'VP'],2
+In only one presidential election year prior to 1948 did more than 20 % of the nation 's congressional districts choose a different party 's candidate for the White House than for the House of Representatives .,"[array(['In'], dtype=object)
+ array(['only', 'one', 'presidential', 'election', 'year'], dtype=object)
+ array(['prior'], dtype=object) array(['to'], dtype=object)
+ array(['1948'], dtype=object)
+ array(['more', 'than', '20', '%'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'nation'], dtype=object)
+ array([""'s"", 'congressional', 'districts'], dtype=object)
+ array(['choose'], dtype=object)
+ array(['a', 'different', 'party'], dtype=object)
+ array([""'s"", 'candidate'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'White', 'House'], dtype=object)
+ array(['than'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'House'], dtype=object) array(['of'], dtype=object)
+ array(['Representatives'], dtype=object)]",['the' 'House'],['VP' 'PP' 'NP' 'ADVP'],2
+"Sony promptly countersued , charging Warner with trying to sabotage its acquisitions and hurt its efforts to enter the U.S. movie business .","[array(['Sony'], dtype=object) array(['promptly'], dtype=object)
+ array(['countersued'], dtype=object) array(['charging'], dtype=object)
+ array(['Warner'], dtype=object) array(['with'], dtype=object)
+ array(['trying', 'to', 'sabotage'], dtype=object)
+ array(['its', 'acquisitions'], dtype=object)
+ array(['hurt'], dtype=object) array(['its', 'efforts'], dtype=object)
+ array(['to', 'enter'], dtype=object)
+ array(['the', 'U.S.', 'movie', 'business'], dtype=object)]",['its' 'efforts'],['VP' 'SBAR' 'NP' 'ADVP'],2
+"The wall behind me was slightly deformed , but the center had held .","[array(['The', 'wall'], dtype=object) array(['behind'], dtype=object)
+ array(['me'], dtype=object) array(['was'], dtype=object)
+ array(['slightly', 'deformed'], dtype=object)
+ array(['the', 'center'], dtype=object)
+ array(['had', 'held'], dtype=object)]",['The' 'wall'],['PP' 'ADVP' 'NP' 'VP'],2
+"The Packwood plan would also include a proposal , designed by Sen. William Roth -LRB- R. , Del. -RRB- , that would expand and alter the deduction for individual retirement accounts .","[array(['The', 'Packwood', 'plan'], dtype=object)
+ array(['would', 'also', 'include'], dtype=object)
+ array(['a', 'proposal'], dtype=object) array(['designed'], dtype=object)
+ array(['by'], dtype=object)
+ array(['Sen.', 'William', 'Roth'], dtype=object)
+ array(['R.'], dtype=object) array(['Del.'], dtype=object)
+ array(['that'], dtype=object)
+ array(['would', 'expand', 'and', 'alter'], dtype=object)
+ array(['the', 'deduction'], dtype=object) array(['for'], dtype=object)
+ array(['individual', 'retirement', 'accounts'], dtype=object)]",['the' 'deduction'],['PP' 'VP' 'NP' 'ADVP'],2
+"In many scams or alleged scams involving planners , it 's plain that only a modicum of common sense on the part of the investors would have kept them out of harm 's way .","[array(['In'], dtype=object)
+ array(['many', 'scams', 'or', 'alleged', 'scams'], dtype=object)
+ array(['involving'], dtype=object) array(['planners'], dtype=object)
+ array(['it'], dtype=object) array([""'s""], dtype=object)
+ array(['plain'], dtype=object) array(['that'], dtype=object)
+ array(['only', 'a', 'modicum'], dtype=object) array(['of'], dtype=object)
+ array(['common', 'sense'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'part'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'investors'], dtype=object)
+ array(['would', 'have', 'kept'], dtype=object)
+ array(['them'], dtype=object) array(['out'], dtype=object)
+ array(['of'], dtype=object) array(['harm'], dtype=object)
+ array([""'s"", 'way'], dtype=object)]",['the' 'part'],['SBAR' 'PP' 'NP' 'VP'],2
+"The Federal Reserve System is the standard object of suggestions for organizational and institutional changes , for two reasons .","[array(['The', 'Federal', 'Reserve', 'System'], dtype=object)
+ array(['is'], dtype=object)
+ array(['the', 'standard', 'object'], dtype=object)
+ array(['of'], dtype=object) array(['suggestions'], dtype=object)
+ array(['for'], dtype=object)
+ array(['organizational', 'and', 'institutional', 'changes'], dtype=object)
+ array(['for'], dtype=object) array(['two', 'reasons'], dtype=object)]",['suggestions'],['PP' 'VP' 'NP' 'ADVP'],2
+This category now accounts for about 19 % of admits and 22 % of registrants .,"[array(['This', 'category'], dtype=object) array(['now'], dtype=object)
+ array(['accounts'], dtype=object) array(['for'], dtype=object)
+ array(['about', '19', '%'], dtype=object) array(['of'], dtype=object)
+ array(['admits'], dtype=object) array(['22', '%'], dtype=object)
+ array(['of'], dtype=object) array(['registrants'], dtype=object)]",['of'],['ADVP' 'VP' 'PP' 'NP'],2
+"Because these freshmen placed far more emphasis on their partisan role -- spreading the Reagan revolution -- in national policy making , they were more vulnerable to defeat .","[array(['Because'], dtype=object)
+ array(['these', 'freshmen'], dtype=object)
+ array(['placed'], dtype=object)
+ array(['far', 'more', 'emphasis'], dtype=object)
+ array(['on'], dtype=object)
+ array(['their', 'partisan', 'role'], dtype=object)
+ array(['spreading'], dtype=object)
+ array(['the', 'Reagan', 'revolution'], dtype=object)
+ array(['in'], dtype=object)
+ array(['national', 'policy', 'making'], dtype=object)
+ array(['they'], dtype=object) array(['were'], dtype=object)
+ array(['more', 'vulnerable'], dtype=object) array(['to'], dtype=object)
+ array(['defeat'], dtype=object)]",['more' 'vulnerable'],['NP' 'PP' 'ADJP' 'VP'],2
+"For the first time in nearly two years , BankAmerica results failed to improve in consecutive quarters , but the decline from the second quarter was attributable to special factors .","[array(['For'], dtype=object)
+ array(['the', 'first', 'time'], dtype=object) array(['in'], dtype=object)
+ array(['nearly', 'two', 'years'], dtype=object)
+ array(['BankAmerica', 'results'], dtype=object)
+ array(['failed', 'to', 'improve'], dtype=object)
+ array(['in'], dtype=object)
+ array(['consecutive', 'quarters'], dtype=object)
+ array(['the', 'decline'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'second', 'quarter'], dtype=object)
+ array(['was'], dtype=object) array(['attributable'], dtype=object)
+ array(['to'], dtype=object) array(['special', 'factors'], dtype=object)]",['For'],['VP' 'ADJP' 'PP' 'NP'],2
+"Holiday Corp. said net income jumped 89 % , partly on the strength of record operating income in its gaming division .","[array(['Holiday', 'Corp.'], dtype=object) array(['said'], dtype=object)
+ array(['net', 'income'], dtype=object) array(['jumped'], dtype=object)
+ array(['89', '%'], dtype=object) array(['partly'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'strength'], dtype=object)
+ array(['of'], dtype=object)
+ array(['record', 'operating', 'income'], dtype=object)
+ array(['in'], dtype=object)
+ array(['its', 'gaming', 'division'], dtype=object)]",['said'],['PP' 'SBAR' 'VP' 'NP'],2
+"The average yield on the bills was 7.35 % , down from 7.61 % at the previous 52-week bill auction Sept. 21 .","[array(['The', 'average', 'yield'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'bills'], dtype=object)
+ array(['was'], dtype=object) array(['7.35', '%'], dtype=object)
+ array(['down'], dtype=object) array(['from'], dtype=object)
+ array(['7.61', '%'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'previous', '52-week', 'bill', 'auction'], dtype=object)
+ array(['Sept.', '21'], dtype=object)]",['on'],['NP' 'ADVP' 'PP' 'VP'],2
+Nor does it cover the entire portfolio .,"[array(['it'], dtype=object) array(['cover'], dtype=object)
+ array(['the', 'entire', 'portfolio'], dtype=object)]",['the' 'entire' 'portfolio'],['ADJP' 'VP' 'NP' 'PP'],2
+"Prior to the ruling the federal government had regulated only the telephone companies in Quebec , Ontario , British Columbia and the Northwest Territories .","[array(['Prior'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'ruling'], dtype=object)
+ array(['the', 'federal', 'government'], dtype=object)
+ array(['had', 'regulated'], dtype=object)
+ array(['only', 'the', 'telephone', 'companies'], dtype=object)
+ array(['in'], dtype=object) array(['Quebec'], dtype=object)
+ array(['Ontario'], dtype=object)
+ array(['British', 'Columbia'], dtype=object)
+ array(['the', 'Northwest', 'Territories'], dtype=object)]",['the' 'ruling'],['SBAR' 'VP' 'NP' 'PP'],2
+"Gregory Bessemer , who came in second in the stock division of the recently completed U.S. Trading Championship , says he uses fill-or-kill orders almost exclusively when trading options .","[array(['Gregory', 'Bessemer'], dtype=object) array(['who'], dtype=object)
+ array(['came'], dtype=object) array(['in'], dtype=object)
+ array(['second'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'stock', 'division'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'recently', 'completed', 'U.S.', 'Trading', 'Championship'],
+       dtype=object)
+ array(['says'], dtype=object) array(['he'], dtype=object)
+ array(['uses'], dtype=object)
+ array(['fill-or-kill', 'orders'], dtype=object)
+ array(['almost', 'exclusively'], dtype=object)
+ array(['when'], dtype=object) array(['trading'], dtype=object)
+ array(['options'], dtype=object)]",['when'],['NP' 'VP' 'ADVP' 'PP'],2
+"The suit alleges that Ms. Levine was fired after she refused to accept a lower paying , less visible job upon reaching her sixth month of pregnancy .","[array(['The', 'suit'], dtype=object) array(['alleges'], dtype=object)
+ array(['that'], dtype=object) array(['Ms.', 'Levine'], dtype=object)
+ array(['was', 'fired'], dtype=object) array(['after'], dtype=object)
+ array(['she'], dtype=object)
+ array(['refused', 'to', 'accept'], dtype=object)
+ array(['a', 'lower', 'paying', ',', 'less', 'visible', 'job'],
+       dtype=object)
+ array(['upon'], dtype=object) array(['reaching'], dtype=object)
+ array(['her', 'sixth', 'month'], dtype=object)
+ array(['of'], dtype=object) array(['pregnancy'], dtype=object)]",['of'],['NP' 'SBAR' 'PP' 'ADVP'],2
+"But some indexers make little or no use of futures , saying that these instruments present added risks for investors .","[array(['some', 'indexers'], dtype=object) array(['make'], dtype=object)
+ array(['little', 'or', 'no', 'use'], dtype=object)
+ array(['of'], dtype=object) array(['futures'], dtype=object)
+ array(['saying'], dtype=object) array(['that'], dtype=object)
+ array(['these', 'instruments'], dtype=object)
+ array(['present'], dtype=object) array(['added', 'risks'], dtype=object)
+ array(['for'], dtype=object) array(['investors'], dtype=object)]",['added' 'risks'],['VP' 'SBAR' 'NP' 'PP'],2
+"The division will be headed by Dick Porter , who returns to Bozell after being vice president of media at MGM .","[array(['The', 'division'], dtype=object)
+ array(['will', 'be', 'headed'], dtype=object) array(['by'], dtype=object)
+ array(['Dick', 'Porter'], dtype=object) array(['who'], dtype=object)
+ array(['returns'], dtype=object) array(['to'], dtype=object)
+ array(['Bozell'], dtype=object) array(['after'], dtype=object)
+ array(['being'], dtype=object) array(['vice', 'president'], dtype=object)
+ array(['of'], dtype=object) array(['media'], dtype=object)
+ array(['at'], dtype=object) array(['MGM'], dtype=object)]",['media'],['VP' 'ADJP' 'NP' 'PP'],2
+"Unless otherwise specified in a particular offer , the bonds wo n't be subject to redemption prior to maturity .","[array(['Unless'], dtype=object)
+ array(['otherwise', 'specified'], dtype=object)
+ array(['in'], dtype=object)
+ array(['a', 'particular', 'offer'], dtype=object)
+ array(['the', 'bonds'], dtype=object)
+ array(['wo', ""n't"", 'be'], dtype=object) array(['subject'], dtype=object)
+ array(['to'], dtype=object) array(['redemption'], dtype=object)
+ array(['prior'], dtype=object) array(['to'], dtype=object)
+ array(['maturity'], dtype=object)]",['maturity'],['SBAR' 'PP' 'NP' 'VP'],2
+"Today , Morgenzon is a town of 800 whites and two paved roads .","[array(['Today'], dtype=object) array(['Morgenzon'], dtype=object)
+ array(['is'], dtype=object) array(['a', 'town'], dtype=object)
+ array(['of'], dtype=object) array(['800', 'whites'], dtype=object)
+ array(['two', 'paved', 'roads'], dtype=object)]",['800' 'whites'],['ADVP' 'VP' 'NP' 'PP'],2
+"`` If the 1980s were a decade of consumption , the '90s will be the investment decade , '' Mr. Andersson says .","[array(['If'], dtype=object) array(['the', '1980s'], dtype=object)
+ array(['were'], dtype=object) array(['a', 'decade'], dtype=object)
+ array(['of'], dtype=object) array(['consumption'], dtype=object)
+ array(['the', ""'90s""], dtype=object) array(['will', 'be'], dtype=object)
+ array(['the', 'investment', 'decade'], dtype=object)
+ array(['Mr.', 'Andersson'], dtype=object) array(['says'], dtype=object)]",['the' 'investment' 'decade'],['PP' 'VP' 'NP' 'ADVP'],2
+"Beneficiaries aged 65 through 69 will be able to earn $ 9,360 without losing any Social Security benefits in 1990 , up from $ 8,880 this year .","[array(['Beneficiaries'], dtype=object) array(['aged'], dtype=object)
+ array(['65', 'through', '69'], dtype=object)
+ array(['will', 'be'], dtype=object) array(['able'], dtype=object)
+ array(['to', 'earn'], dtype=object) array(['$', '9,360'], dtype=object)
+ array(['without'], dtype=object) array(['losing'], dtype=object)
+ array(['any', 'Social', 'Security', 'benefits'], dtype=object)
+ array(['in'], dtype=object) array(['1990'], dtype=object)
+ array(['up'], dtype=object) array(['from'], dtype=object)
+ array(['$', '8,880'], dtype=object) array(['this', 'year'], dtype=object)]",['this' 'year'],['ADVP' 'PP' 'NP' 'SBAR'],2
+"Capital Holding Corp. said it requested and received the resignation of John A. Franco , its vice chairman , as an officer and a director of the life insurance holding company .","[array(['Capital', 'Holding', 'Corp.'], dtype=object)
+ array(['said'], dtype=object) array(['it'], dtype=object)
+ array(['requested', 'and', 'received'], dtype=object)
+ array(['the', 'resignation'], dtype=object) array(['of'], dtype=object)
+ array(['John', 'A.', 'Franco'], dtype=object)
+ array(['its', 'vice', 'chairman'], dtype=object)
+ array(['as'], dtype=object) array(['an', 'officer'], dtype=object)
+ array(['a', 'director'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'life', 'insurance', 'holding', 'company'], dtype=object)]",['it'],['ADJP' 'PP' 'NP' 'VP'],2
+"WCRS 's restructuring reflects the growing importance of media buying in Europe , where the only way to get a good price on advertising time and space is to buy it in bulk .","[array(['WCRS'], dtype=object)
+ array([""'s"", 'restructuring'], dtype=object)
+ array(['reflects'], dtype=object)
+ array(['the', 'growing', 'importance'], dtype=object)
+ array(['of'], dtype=object) array(['media', 'buying'], dtype=object)
+ array(['in'], dtype=object) array(['Europe'], dtype=object)
+ array(['where'], dtype=object)
+ array(['the', 'only', 'way'], dtype=object)
+ array(['to', 'get'], dtype=object)
+ array(['a', 'good', 'price'], dtype=object) array(['on'], dtype=object)
+ array(['advertising', 'time', 'and', 'space'], dtype=object)
+ array(['is'], dtype=object) array(['to', 'buy'], dtype=object)
+ array(['it'], dtype=object) array(['in'], dtype=object)
+ array(['bulk'], dtype=object)]",['media' 'buying'],['PP' 'SBAR' 'NP' 'ADJP'],2
+"Bankers Trust uses Digital 's VAX to run its huge money-transfer and capital markets accounts , juggling hundreds of billions of dollars each day , he says .","[array(['Bankers', 'Trust'], dtype=object) array(['uses'], dtype=object)
+ array(['Digital'], dtype=object) array([""'s"", 'VAX'], dtype=object)
+ array(['to', 'run'], dtype=object)
+ array(['its', 'huge', 'money-transfer', 'and', 'capital', 'markets',
+        'accounts'], dtype=object)
+ array(['juggling'], dtype=object) array(['hundreds'], dtype=object)
+ array(['of'], dtype=object) array(['billions'], dtype=object)
+ array(['of'], dtype=object) array(['dollars'], dtype=object)
+ array(['each', 'day'], dtype=object) array(['he'], dtype=object)
+ array(['says'], dtype=object)]",['each' 'day'],['VP' 'SBAR' 'NP' 'PP'],2
+The announcements also should help IBM go on the offensive against Digital Equipment Corp. on the plant floor .,"[array(['The', 'announcements'], dtype=object)
+ array(['also'], dtype=object) array(['should', 'help'], dtype=object)
+ array(['IBM'], dtype=object) array(['go'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'offensive'], dtype=object)
+ array(['against'], dtype=object)
+ array(['Digital', 'Equipment', 'Corp.'], dtype=object)
+ array(['on'], dtype=object)
+ array(['the', 'plant', 'floor'], dtype=object)]",['also'],['NP' 'PP' 'ADVP' 'VP'],2
+"Imprisoned by the Nazis during World War II for his political beliefs , Mr. Honecker typified the postwar generation of committed Communist leaders in Eastern Europe who took their cues from Moscow .","[array(['Imprisoned'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'Nazis'], dtype=object) array(['during'], dtype=object)
+ array(['World', 'War', 'II'], dtype=object) array(['for'], dtype=object)
+ array(['his', 'political', 'beliefs'], dtype=object)
+ array(['Mr.', 'Honecker'], dtype=object)
+ array(['typified'], dtype=object)
+ array(['the', 'postwar', 'generation'], dtype=object)
+ array(['of'], dtype=object)
+ array(['committed', 'Communist', 'leaders'], dtype=object)
+ array(['in'], dtype=object) array(['Eastern', 'Europe'], dtype=object)
+ array(['who'], dtype=object) array(['took'], dtype=object)
+ array(['their', 'cues'], dtype=object) array(['from'], dtype=object)
+ array(['Moscow'], dtype=object)]",['Moscow'],['ADVP' 'PP' 'NP' 'VP'],2
+"Storage , Louisville , Colo. , which makes data-storage devices for mainframe computers , said the huge increase in net reflects `` strong sales '' of its tape products , particularly the 4400 Automated Cartridge System , which holds a library of tape cartridges .","[array(['Storage'], dtype=object) array(['Louisville'], dtype=object)
+ array(['Colo.'], dtype=object) array(['which'], dtype=object)
+ array(['makes'], dtype=object)
+ array(['data-storage', 'devices'], dtype=object)
+ array(['for'], dtype=object)
+ array(['mainframe', 'computers'], dtype=object)
+ array(['said'], dtype=object)
+ array(['the', 'huge', 'increase'], dtype=object)
+ array(['in'], dtype=object) array(['net'], dtype=object)
+ array(['reflects'], dtype=object)
+ array(['strong', 'sales'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'tape', 'products'], dtype=object)
+ array(['particularly'], dtype=object)
+ array(['the', '4400', 'Automated', 'Cartridge', 'System'], dtype=object)
+ array(['which'], dtype=object) array(['holds'], dtype=object)
+ array(['a', 'library'], dtype=object) array(['of'], dtype=object)
+ array(['tape', 'cartridges'], dtype=object)]",['said'],['NP' 'PP' 'VP' 'SBAR'],2
+"NewsEdge is pricey : $ 7,500 a year for a limited version , $ 40,000 a year if the cost of all the news wires is included .","[array(['NewsEdge'], dtype=object) array(['is'], dtype=object)
+ array(['pricey'], dtype=object) array(['$', '7,500'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['for'], dtype=object)
+ array(['a', 'limited', 'version'], dtype=object)
+ array(['$', '40,000'], dtype=object) array(['a', 'year'], dtype=object)
+ array(['if'], dtype=object) array(['the', 'cost'], dtype=object)
+ array(['of'], dtype=object)
+ array(['all', 'the', 'news', 'wires'], dtype=object)
+ array(['is', 'included'], dtype=object)]",['a' 'year'],['PP' 'ADVP' 'NP' 'VP'],2
+"Clearly , though , scam artists have to be a bit more subtle than simply promising millions ; the psychology of suckers is n't simply the psychology of the greedy .","[array(['Clearly'], dtype=object) array(['though'], dtype=object)
+ array(['scam', 'artists'], dtype=object)
+ array(['have', 'to', 'be'], dtype=object)
+ array(['a', 'bit'], dtype=object) array(['more', 'subtle'], dtype=object)
+ array(['than'], dtype=object) array(['simply'], dtype=object)
+ array(['promising'], dtype=object) array(['millions'], dtype=object)
+ array(['the', 'psychology'], dtype=object) array(['of'], dtype=object)
+ array(['suckers'], dtype=object) array(['is'], dtype=object)
+ array(['simply'], dtype=object)
+ array(['the', 'psychology'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'greedy'], dtype=object)]",['a' 'bit'],['SBAR' 'ADJP' 'NP' 'VP'],2
+The investment is worth about $ 130 today .,"[array(['The', 'investment'], dtype=object) array(['is'], dtype=object)
+ array(['worth'], dtype=object) array(['about', '$', '130'], dtype=object)
+ array(['today'], dtype=object)]",['about' '$' '130'],['ADJP' 'VP' 'NP' 'PP'],2
+"The SEC also charged that Mr. Holmes acted as an officer or director of New Ventures , in violation of his previous consent agreement .","[array(['The', 'SEC'], dtype=object) array(['also'], dtype=object)
+ array(['charged'], dtype=object) array(['that'], dtype=object)
+ array(['Mr.', 'Holmes'], dtype=object) array(['acted'], dtype=object)
+ array(['as'], dtype=object)
+ array(['an', 'officer', 'or', 'director'], dtype=object)
+ array(['of'], dtype=object) array(['New', 'Ventures'], dtype=object)
+ array(['in'], dtype=object) array(['violation'], dtype=object)
+ array(['of'], dtype=object)
+ array(['his', 'previous', 'consent', 'agreement'], dtype=object)]",['violation'],['VP' 'PP' 'NP' 'ADVP'],2
+"USX Corp. declined a United Steelworkers request for a reopening of its four-year labor contract that is due to expire Jan. 31 , 1991 .","[array(['USX', 'Corp.'], dtype=object) array(['declined'], dtype=object)
+ array(['a', 'United', 'Steelworkers', 'request'], dtype=object)
+ array(['for'], dtype=object) array(['a', 'reopening'], dtype=object)
+ array(['of'], dtype=object)
+ array(['its', 'four-year', 'labor', 'contract'], dtype=object)
+ array(['that'], dtype=object) array(['is'], dtype=object)
+ array(['due'], dtype=object) array(['to', 'expire'], dtype=object)
+ array(['Jan.', '31', ',', '1991'], dtype=object)]",['to' 'expire'],['ADVP' 'PP' 'VP' 'NP'],2
+"In 1986 , Stamford officials thanked Mr. Hoelzer for taking care of the mural -- and demanded he return it as soon as possible .","[array(['In'], dtype=object) array(['1986'], dtype=object)
+ array(['Stamford', 'officials'], dtype=object)
+ array(['thanked'], dtype=object) array(['Mr.', 'Hoelzer'], dtype=object)
+ array(['for'], dtype=object) array(['taking'], dtype=object)
+ array(['care'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'mural'], dtype=object) array(['demanded'], dtype=object)
+ array(['he'], dtype=object) array(['return'], dtype=object)
+ array(['it'], dtype=object) array(['as', 'soon'], dtype=object)
+ array(['as'], dtype=object) array(['possible'], dtype=object)]",['thanked'],['PP' 'NP' 'VP' 'ADVP'],2
+"The companies are followed by at least three analysts , and had a minimum five-cent change in actual earnings per share .","[array(['The', 'companies'], dtype=object)
+ array(['are', 'followed'], dtype=object) array(['by'], dtype=object)
+ array(['at', 'least', 'three', 'analysts'], dtype=object)
+ array(['had'], dtype=object)
+ array(['a', 'minimum', 'five-cent', 'change'], dtype=object)
+ array(['in'], dtype=object) array(['actual', 'earnings'], dtype=object)
+ array(['per'], dtype=object) array(['share'], dtype=object)]",['a' 'minimum' 'five-cent' 'change'],['ADVP' 'VP' 'NP' 'PP'],2
+"Here she delivers , especially during her enthusiastically awful rendition of the `` Candy Man , '' which she sings while prancing around in a little cotton candy pink angora sweater that could n't be more perfect .","[array(['Here'], dtype=object) array(['she'], dtype=object)
+ array(['delivers'], dtype=object) array(['especially'], dtype=object)
+ array(['during'], dtype=object)
+ array(['her', 'enthusiastically', 'awful', 'rendition'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', '``', 'Candy', 'Man'], dtype=object)
+ array(['which'], dtype=object) array(['she'], dtype=object)
+ array(['sings'], dtype=object) array(['while'], dtype=object)
+ array(['prancing'], dtype=object) array(['around'], dtype=object)
+ array(['in'], dtype=object)
+ array(['a', 'little', 'cotton', 'candy', 'pink', 'angora', 'sweater'],
+       dtype=object)
+ array(['that'], dtype=object) array(['could', ""n't"", 'be'], dtype=object)
+ array(['more', 'perfect'], dtype=object)]",['around'],['PP' 'NP' 'ADVP' 'VP'],2
+And you thought the only reason to save your canceled checks was to prepare for an IRS audit .,"[array(['you'], dtype=object) array(['thought'], dtype=object)
+ array(['the', 'only', 'reason'], dtype=object)
+ array(['to', 'save'], dtype=object)
+ array(['your', 'canceled', 'checks'], dtype=object)
+ array(['was'], dtype=object) array(['to', 'prepare'], dtype=object)
+ array(['for'], dtype=object) array(['an', 'IRS', 'audit'], dtype=object)]",['to' 'save'],['PP' 'PRT' 'VP' 'NP'],2
+"`` We regret very much that the mayor of San Francisco has decided not to cooperate with us on this matter in making sure that there is adequate federal support for the disaster in his city , '' Mr. Fitzwater said .","[array(['We'], dtype=object) array(['regret'], dtype=object)
+ array(['very', 'much'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'mayor'], dtype=object) array(['of'], dtype=object)
+ array(['San', 'Francisco'], dtype=object)
+ array(['has', 'decided'], dtype=object)
+ array(['to', 'cooperate'], dtype=object) array(['with'], dtype=object)
+ array(['us'], dtype=object) array(['on'], dtype=object)
+ array(['this', 'matter'], dtype=object) array(['in'], dtype=object)
+ array(['making'], dtype=object) array(['sure'], dtype=object)
+ array(['that'], dtype=object) array(['there'], dtype=object)
+ array(['is'], dtype=object)
+ array(['adequate', 'federal', 'support'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'disaster'], dtype=object)
+ array(['in'], dtype=object) array(['his', 'city'], dtype=object)
+ array(['Mr.', 'Fitzwater'], dtype=object) array(['said'], dtype=object)]",['in'],['VP' 'ADVP' 'PP' 'NP'],2
+"Minpeco attorney Thomas Gorman decribed the plan as one step toward an overall settlement of the W. Herbert Hunt case but Hugh Ray , attorney for Manufacturers Hanover , called it `` silly '' and said he would fight it in court .","[array(['Minpeco', 'attorney', 'Thomas', 'Gorman'], dtype=object)
+ array(['decribed'], dtype=object) array(['the', 'plan'], dtype=object)
+ array(['as'], dtype=object) array(['one', 'step'], dtype=object)
+ array(['toward'], dtype=object)
+ array(['an', 'overall', 'settlement'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'W.', 'Herbert', 'Hunt', 'case'], dtype=object)
+ array(['Hugh', 'Ray'], dtype=object) array(['attorney'], dtype=object)
+ array(['for'], dtype=object)
+ array(['Manufacturers', 'Hanover'], dtype=object)
+ array(['called'], dtype=object) array(['it'], dtype=object)
+ array(['silly'], dtype=object) array(['said'], dtype=object)
+ array(['he'], dtype=object) array(['would', 'fight'], dtype=object)
+ array(['it'], dtype=object) array(['in'], dtype=object)
+ array(['court'], dtype=object)]",['it'],['VP' 'PP' 'NP' 'ADVP'],2
+A spokesman also said margins for the company 's service business narrowed somewhat because of heavy investments made in that sector .,"[array(['A', 'spokesman'], dtype=object) array(['also'], dtype=object)
+ array(['said'], dtype=object) array(['margins'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'company'], dtype=object)
+ array([""'s"", 'service', 'business'], dtype=object)
+ array(['narrowed'], dtype=object) array(['somewhat'], dtype=object)
+ array(['because', 'of'], dtype=object)
+ array(['heavy', 'investments'], dtype=object)
+ array(['made'], dtype=object) array(['in'], dtype=object)
+ array(['that', 'sector'], dtype=object)]",['that' 'sector'],['VP' 'ADVP' 'NP' 'PP'],2
+"Although Olivetti 's profits tumbled 40 % in the first half of this year , she believes Olivetti 's restructuring last fall and its introduction of new products will begin to bear fruit with an earnings rebound next year , especially if it can fulfill its promise to deliver the new machines by December .","[array(['Although'], dtype=object) array(['Olivetti'], dtype=object)
+ array([""'s"", 'profits'], dtype=object) array(['tumbled'], dtype=object)
+ array(['40', '%'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'first', 'half'], dtype=object) array(['of'], dtype=object)
+ array(['this', 'year'], dtype=object) array(['she'], dtype=object)
+ array(['believes'], dtype=object) array(['Olivetti'], dtype=object)
+ array([""'s"", 'restructuring'], dtype=object)
+ array(['last', 'fall'], dtype=object)
+ array(['its', 'introduction'], dtype=object) array(['of'], dtype=object)
+ array(['new', 'products'], dtype=object)
+ array(['will', 'begin', 'to', 'bear'], dtype=object)
+ array(['fruit'], dtype=object) array(['with'], dtype=object)
+ array(['an', 'earnings', 'rebound'], dtype=object)
+ array(['next', 'year'], dtype=object) array(['especially'], dtype=object)
+ array(['if'], dtype=object) array(['it'], dtype=object)
+ array(['can', 'fulfill'], dtype=object)
+ array(['its', 'promise'], dtype=object)
+ array(['to', 'deliver'], dtype=object)
+ array(['the', 'new', 'machines'], dtype=object)
+ array(['by'], dtype=object) array(['December'], dtype=object)]",['especially'],['NP' 'PP' 'ADVP' 'VP'],2
+"An examination of changes in personal staffing decisions in the Senate between 1986 and 1987 -LRB- when control of that body changed party hands -RRB- , moreover , reveals that the personal staffing differences noted in the table can not be attributed to the disproportionate control Democrats exercise , due to their majority-party status , over other resources such as committee staff .","[array(['An', 'examination'], dtype=object) array(['of'], dtype=object)
+ array(['changes'], dtype=object) array(['in'], dtype=object)
+ array(['personal', 'staffing', 'decisions'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'Senate'], dtype=object)
+ array(['between'], dtype=object)
+ array(['1986', 'and', '1987'], dtype=object)
+ array(['when'], dtype=object) array(['control'], dtype=object)
+ array(['of'], dtype=object) array(['that', 'body'], dtype=object)
+ array(['changed'], dtype=object) array(['party', 'hands'], dtype=object)
+ array(['moreover'], dtype=object) array(['reveals'], dtype=object)
+ array(['that'], dtype=object)
+ array(['the', 'personal', 'staffing', 'differences'], dtype=object)
+ array(['noted'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'table'], dtype=object)
+ array(['can', 'not', 'be', 'attributed'], dtype=object)
+ array(['to'], dtype=object)
+ array(['the', 'disproportionate', 'control'], dtype=object)
+ array(['Democrats'], dtype=object) array(['exercise'], dtype=object)
+ array(['due', 'to'], dtype=object)
+ array(['their', 'majority-party', 'status'], dtype=object)
+ array(['over'], dtype=object) array(['other', 'resources'], dtype=object)
+ array(['such', 'as'], dtype=object)
+ array(['committee', 'staff'], dtype=object)]",['can' 'not' 'be' 'attributed'],['NP' 'ADJP' 'VP' 'PP'],2
+The doctor was among dozens of people milling through East Berlin 's Gethsemane Church Saturday morning .,"[array(['The', 'doctor'], dtype=object) array(['was'], dtype=object)
+ array(['among'], dtype=object) array(['dozens'], dtype=object)
+ array(['of'], dtype=object) array(['people'], dtype=object)
+ array(['milling'], dtype=object) array(['through'], dtype=object)
+ array(['East', 'Berlin'], dtype=object)
+ array([""'s"", 'Gethsemane', 'Church'], dtype=object)
+ array(['Saturday', 'morning'], dtype=object)]",['was'],['SBAR' 'NP' 'VP' 'PP'],2
+"`` They are preparing the workers for what 's coming : foreign control , '' wrote Heberto Castillo , a leftist leader .","[array(['They'], dtype=object) array(['are', 'preparing'], dtype=object)
+ array(['the', 'workers'], dtype=object) array(['for'], dtype=object)
+ array(['what'], dtype=object) array([""'s"", 'coming'], dtype=object)
+ array(['foreign', 'control'], dtype=object)
+ array(['wrote'], dtype=object)
+ array(['Heberto', 'Castillo'], dtype=object)
+ array(['a', 'leftist', 'leader'], dtype=object)]",['foreign' 'control'],['ADVP' 'PP' 'NP' 'VP'],2
+"The 4.52 % net interest margin , or the difference between the yield on a bank 's investments and the rate it pays for deposits and other borrowings , was still markedly higher than the 3.91 % ratio a year earlier , and is among the best in the industry , analysts said .","[array(['The', '4.52', '%', 'net', 'interest', 'margin'], dtype=object)
+ array(['the', 'difference'], dtype=object)
+ array(['between'], dtype=object) array(['the', 'yield'], dtype=object)
+ array(['on'], dtype=object) array(['a', 'bank'], dtype=object)
+ array([""'s"", 'investments'], dtype=object)
+ array(['the', 'rate'], dtype=object) array(['it'], dtype=object)
+ array(['pays'], dtype=object) array(['for'], dtype=object)
+ array(['deposits'], dtype=object)
+ array(['other', 'borrowings'], dtype=object) array(['was'], dtype=object)
+ array(['still'], dtype=object)
+ array(['markedly', 'higher'], dtype=object) array(['than'], dtype=object)
+ array(['the', '3.91', '%', 'ratio'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['earlier'], dtype=object)
+ array(['is'], dtype=object) array(['among'], dtype=object)
+ array(['the', 'best'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'industry'], dtype=object)
+ array(['analysts'], dtype=object) array(['said'], dtype=object)]",['pays'],['NP' 'PP' 'VP' 'ADJP'],2
+"Though Sir James has said he intends to mount a new bid for B.A.T once approval from U.S. insurance regulators is received , jitters over prospects for junk-bond financing and U.S. leverage buy-outs are making investors more skeptical about Sir James 's prospects .","[array(['Sir', 'James'], dtype=object)
+ array(['has', 'said'], dtype=object) array(['he'], dtype=object)
+ array(['intends', 'to', 'mount'], dtype=object)
+ array(['a', 'new', 'bid'], dtype=object) array(['for'], dtype=object)
+ array(['B.A.T'], dtype=object) array(['once'], dtype=object)
+ array(['approval'], dtype=object) array(['from'], dtype=object)
+ array(['U.S.', 'insurance', 'regulators'], dtype=object)
+ array(['is', 'received'], dtype=object) array(['jitters'], dtype=object)
+ array(['over'], dtype=object) array(['prospects'], dtype=object)
+ array(['for'], dtype=object)
+ array(['junk-bond', 'financing'], dtype=object)
+ array(['U.S.', 'leverage', 'buy-outs'], dtype=object)
+ array(['are', 'making'], dtype=object) array(['investors'], dtype=object)
+ array(['more', 'skeptical'], dtype=object) array(['about'], dtype=object)
+ array(['Sir', 'James'], dtype=object)
+ array([""'s"", 'prospects'], dtype=object)]",['for'],['NP' 'VP' 'PP' 'ADVP'],2
+"This is reflected in a built-in mortality cost -- in effect , your share of the company 's estimated liability in paying off beneficiaries of people who had the effrontery to die while under its protection .","[array(['This'], dtype=object) array(['is', 'reflected'], dtype=object)
+ array(['in'], dtype=object)
+ array(['a', 'built-in', 'mortality', 'cost'], dtype=object)
+ array(['in'], dtype=object) array(['effect'], dtype=object)
+ array(['your', 'share'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array([""'s"", 'estimated', 'liability'], dtype=object)
+ array(['in'], dtype=object) array(['paying'], dtype=object)
+ array(['off'], dtype=object) array(['beneficiaries'], dtype=object)
+ array(['of'], dtype=object) array(['people'], dtype=object)
+ array(['who'], dtype=object) array(['had'], dtype=object)
+ array(['the', 'effrontery'], dtype=object)
+ array(['to', 'die'], dtype=object) array(['while'], dtype=object)
+ array(['under'], dtype=object) array(['its', 'protection'], dtype=object)]",['of'],['ADVP' 'SBAR' 'PP' 'NP'],2
+"But to avoid the risk of rejection , the group does n't plan to submit the plan formally at a UAL board meeting today .","[array(['to', 'avoid'], dtype=object) array(['the', 'risk'], dtype=object)
+ array(['of'], dtype=object) array(['rejection'], dtype=object)
+ array(['the', 'group'], dtype=object)
+ array(['does', ""n't"", 'plan', 'to', 'submit'], dtype=object)
+ array(['the', 'plan'], dtype=object) array(['formally'], dtype=object)
+ array(['at'], dtype=object)
+ array(['a', 'UAL', 'board', 'meeting'], dtype=object)
+ array(['today'], dtype=object)]",['a' 'UAL' 'board' 'meeting'],['SBAR' 'PP' 'NP' 'VP'],2
+"In Michigan , where the state Senate is expected to approve parental-consent legislation by the end of next week , Gov. Blanchard is the principal obstacle for anti-abortionists .","[array(['In'], dtype=object) array(['Michigan'], dtype=object)
+ array(['where'], dtype=object)
+ array(['the', 'state', 'Senate'], dtype=object)
+ array(['is', 'expected', 'to', 'approve'], dtype=object)
+ array(['parental-consent', 'legislation'], dtype=object)
+ array(['by'], dtype=object) array(['the', 'end'], dtype=object)
+ array(['of'], dtype=object) array(['next', 'week'], dtype=object)
+ array(['Gov.', 'Blanchard'], dtype=object) array(['is'], dtype=object)
+ array(['the', 'principal', 'obstacle'], dtype=object)
+ array(['for'], dtype=object) array(['anti-abortionists'], dtype=object)]",['Michigan'],['VP' 'PP' 'NP' 'ADVP'],2
+"Elsewhere , prices surged for a second day in Frankfurt , closed higher in Zurich , Stockholm and Amsterdam and were broadly lower in Milan , Paris and Brussels .","[array(['Elsewhere'], dtype=object) array(['prices'], dtype=object)
+ array(['surged'], dtype=object) array(['for'], dtype=object)
+ array(['a', 'second', 'day'], dtype=object) array(['in'], dtype=object)
+ array(['Frankfurt'], dtype=object) array(['closed'], dtype=object)
+ array(['higher'], dtype=object) array(['in'], dtype=object)
+ array(['Zurich', ',', 'Stockholm', 'and', 'Amsterdam'], dtype=object)
+ array(['were'], dtype=object) array(['broadly', 'lower'], dtype=object)
+ array(['in'], dtype=object)
+ array(['Milan', ',', 'Paris', 'and', 'Brussels'], dtype=object)]",['surged'],['PP' 'SBAR' 'VP' 'NP'],2
+"If you start saving for your child 's eduction on Jan. 1 , 1990 , here 's the monthly sum you will need to invest to pay for four years at Yale , Notre Dame and University of Minnesota .","[array(['If'], dtype=object) array(['you'], dtype=object)
+ array(['start', 'saving'], dtype=object) array(['for'], dtype=object)
+ array(['your', 'child'], dtype=object)
+ array([""'s"", 'eduction'], dtype=object) array(['on'], dtype=object)
+ array(['Jan.', '1', ',', '1990'], dtype=object)
+ array(['here'], dtype=object) array([""'s""], dtype=object)
+ array(['the', 'monthly', 'sum'], dtype=object)
+ array(['you'], dtype=object)
+ array(['will', 'need', 'to', 'invest'], dtype=object)
+ array(['to', 'pay'], dtype=object) array(['for'], dtype=object)
+ array(['four', 'years'], dtype=object) array(['at'], dtype=object)
+ array(['Yale'], dtype=object) array(['Notre', 'Dame'], dtype=object)
+ array(['University'], dtype=object) array(['of'], dtype=object)
+ array(['Minnesota'], dtype=object)]",['will' 'need' 'to' 'invest'],['PP' 'ADJP' 'VP' 'NP'],2
+"That gain probably translated into about 5 % to 7 % in dollar terms , well below recent quarters ' gains of above 20 % , reckons Jay Stevens of Dean Witter Reynolds .","[array(['That', 'gain'], dtype=object) array(['probably'], dtype=object)
+ array(['translated'], dtype=object) array(['into'], dtype=object)
+ array(['about', '5', '%', 'to', '7', '%'], dtype=object)
+ array(['in'], dtype=object) array(['dollar', 'terms'], dtype=object)
+ array(['well'], dtype=object) array(['below'], dtype=object)
+ array(['recent', 'quarters'], dtype=object)
+ array([""'"", 'gains'], dtype=object) array(['of'], dtype=object)
+ array(['above', '20', '%'], dtype=object)
+ array(['reckons'], dtype=object) array(['Jay', 'Stevens'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Dean', 'Witter', 'Reynolds'], dtype=object)]",['below'],['NP' 'ADVP' 'PP' 'VP'],2
+"While not as brand loyal as in the past , consumers today do n't buy products capriciously , either .","[array(['While'], dtype=object)
+ array(['as', 'brand', 'loyal'], dtype=object) array(['as'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'past'], dtype=object)
+ array(['consumers'], dtype=object) array(['today'], dtype=object)
+ array(['do', ""n't"", 'buy'], dtype=object)
+ array(['products'], dtype=object) array(['capriciously'], dtype=object)
+ array(['either'], dtype=object)]",['today'],['NP' 'PP' 'ADVP' 'VP'],2
+"Amoco 's domestic oil and natural gas operations recorded a profit of $ 104 million in the quarter compared with a loss of $ 5 million , `` primarily on the strength of higher crude oil prices , '' said Chairman Richard M. Morrow .","[array(['Amoco'], dtype=object)
+ array([""'s"", 'domestic', 'oil', 'and', 'natural', 'gas', 'operations'],
+       dtype=object)
+ array(['recorded'], dtype=object) array(['a', 'profit'], dtype=object)
+ array(['of'], dtype=object) array(['$', '104', 'million'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'quarter'], dtype=object)
+ array(['compared'], dtype=object) array(['with'], dtype=object)
+ array(['a', 'loss'], dtype=object) array(['of'], dtype=object)
+ array(['$', '5', 'million'], dtype=object)
+ array(['primarily'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'strength'], dtype=object) array(['of'], dtype=object)
+ array(['higher', 'crude', 'oil', 'prices'], dtype=object)
+ array(['said'], dtype=object)
+ array(['Chairman', 'Richard', 'M.', 'Morrow'], dtype=object)]",['a' 'profit'],['ADJP' 'VP' 'NP' 'PP'],2
+October is a critical month for the privatization program .,"[array(['October'], dtype=object) array(['is'], dtype=object)
+ array(['a', 'critical', 'month'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'privatization', 'program'], dtype=object)]",['is'],['ADVP' 'NP' 'VP' 'PP'],2
+"`` Frankly , as I was walking back to get in my car , I heard many , many people ... opening champagne bottles and celebrating individual victories that some of us had accomplished in getting our little deal in the tax bill and winking at this person for slipping this in , '' he said .","[array(['Frankly'], dtype=object) array(['as'], dtype=object)
+ array(['I'], dtype=object) array(['was', 'walking'], dtype=object)
+ array(['back'], dtype=object) array(['to', 'get'], dtype=object)
+ array(['in'], dtype=object) array(['my', 'car'], dtype=object)
+ array(['I'], dtype=object) array(['heard'], dtype=object)
+ array(['many', ',', 'many', 'people'], dtype=object)
+ array(['opening'], dtype=object)
+ array(['champagne', 'bottles'], dtype=object)
+ array(['celebrating'], dtype=object)
+ array(['individual', 'victories'], dtype=object)
+ array(['that'], dtype=object) array(['some'], dtype=object)
+ array(['of'], dtype=object) array(['us'], dtype=object)
+ array(['had', 'accomplished'], dtype=object) array(['in'], dtype=object)
+ array(['getting'], dtype=object)
+ array(['our', 'little', 'deal'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'tax', 'bill'], dtype=object)
+ array(['winking'], dtype=object) array(['at'], dtype=object)
+ array(['this', 'person'], dtype=object) array(['for'], dtype=object)
+ array(['slipping'], dtype=object) array(['this'], dtype=object)
+ array(['in'], dtype=object) array(['he'], dtype=object)
+ array(['said'], dtype=object)]",['for'],['VP' 'PRT' 'PP' 'NP'],2
+"To guarantee that Mexicana de Aviacion and other companies will really be privatized , Mexico needs a pluri-party political system that will ensure democracy and hence accountability .","[array(['To', 'guarantee'], dtype=object) array(['that'], dtype=object)
+ array(['Mexicana', 'de', 'Aviacion'], dtype=object)
+ array(['other', 'companies'], dtype=object)
+ array(['will', 'really', 'be', 'privatized'], dtype=object)
+ array(['Mexico'], dtype=object) array(['needs'], dtype=object)
+ array(['a', 'pluri-party', 'political', 'system'], dtype=object)
+ array(['that'], dtype=object) array(['will', 'ensure'], dtype=object)
+ array(['democracy'], dtype=object) array(['and', 'hence'], dtype=object)
+ array(['accountability'], dtype=object)]",['Mexico'],['SBAR' 'PP' 'NP' 'VP'],2
+The level of negative sentiment measured by the Big Board short interest ratio slipped to 3.36 from last month 's 3.38 .,"[array(['The', 'level'], dtype=object) array(['of'], dtype=object)
+ array(['negative', 'sentiment'], dtype=object)
+ array(['measured'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'Big', 'Board'], dtype=object)
+ array(['short', 'interest', 'ratio'], dtype=object)
+ array(['slipped'], dtype=object) array(['to'], dtype=object)
+ array(['3.36'], dtype=object) array(['from'], dtype=object)
+ array(['last', 'month'], dtype=object)
+ array([""'s"", '3.38'], dtype=object)]",['by'],['ADVP' 'VP' 'PP' 'NP'],2
+"Runways at San Francisco were n't damaged , but traffic was being limited yesterday to 27 arrivals and 27 departures an hour -- down from 33 to 45 an hour normally -- mainly because the noise level in the control tower was overwhelming without the windows , an FAA spokeswoman said .","[array(['Runways'], dtype=object) array(['at'], dtype=object)
+ array(['San', 'Francisco'], dtype=object)
+ array(['were', ""n't"", 'damaged'], dtype=object)
+ array(['traffic'], dtype=object)
+ array(['was', 'being', 'limited'], dtype=object)
+ array(['yesterday'], dtype=object) array(['to'], dtype=object)
+ array(['27', 'arrivals'], dtype=object)
+ array(['27', 'departures'], dtype=object)
+ array(['an', 'hour'], dtype=object) array(['down'], dtype=object)
+ array(['from'], dtype=object) array(['33', 'to', '45'], dtype=object)
+ array(['an', 'hour'], dtype=object) array(['normally'], dtype=object)
+ array(['mainly'], dtype=object) array(['because'], dtype=object)
+ array(['the', 'noise', 'level'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'control', 'tower'], dtype=object)
+ array(['was'], dtype=object) array(['overwhelming'], dtype=object)
+ array(['without'], dtype=object) array(['the', 'windows'], dtype=object)
+ array(['an', 'FAA', 'spokeswoman'], dtype=object)
+ array(['said'], dtype=object)]",['27' 'departures'],['VP' 'PP' 'NP' 'PRT'],2
+"The equity arrangement apparently would allow bondholders to buy a total of 10 % of the stock of CNW Corp. , Chicago & North Western 's parent company .","[array(['The', 'equity', 'arrangement'], dtype=object)
+ array(['apparently'], dtype=object)
+ array(['would', 'allow'], dtype=object)
+ array(['bondholders'], dtype=object) array(['to', 'buy'], dtype=object)
+ array(['a', 'total'], dtype=object) array(['of'], dtype=object)
+ array(['10', '%'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'stock'], dtype=object) array(['of'], dtype=object)
+ array(['CNW', 'Corp.'], dtype=object)
+ array(['Chicago', '&', 'North', 'Western'], dtype=object)
+ array([""'s"", 'parent', 'company'], dtype=object)]","[""'s"" 'parent' 'company']",['PP' 'ADVP' 'NP' 'VP'],2
+"For the nine months , Los Angeles-based H.F. Ahmanson had profit of $ 128.1 million , or $ 1.29 a share , a 4.6 % decline from earnings of $ 134.2 million in the year-ago nine months .","[array(['For'], dtype=object)
+ array(['the', 'nine', 'months'], dtype=object)
+ array(['Los', 'Angeles-based', 'H.F.', 'Ahmanson'], dtype=object)
+ array(['had'], dtype=object) array(['profit'], dtype=object)
+ array(['of'], dtype=object)
+ array(['$', '128.1', 'million'], dtype=object)
+ array(['$', '1.29'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['a', '4.6', '%', 'decline'], dtype=object)
+ array(['from'], dtype=object) array(['earnings'], dtype=object)
+ array(['of'], dtype=object)
+ array(['$', '134.2', 'million'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'year-ago', 'nine', 'months'], dtype=object)]",['of'],['ADJP' 'NP' 'PP' 'VP'],2
+"Equitec posted a $ 3.3 million net loss in the second quarter on $ 11.8 million of revenue , compared with a net loss of $ 12.9 million in the year-earlier period on revenue of $ 9.1 million .","[array(['Equitec'], dtype=object) array(['posted'], dtype=object)
+ array(['a', '$', '3.3', 'million', 'net', 'loss'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'second', 'quarter'], dtype=object)
+ array(['on'], dtype=object) array(['$', '11.8', 'million'], dtype=object)
+ array(['of'], dtype=object) array(['revenue'], dtype=object)
+ array(['compared'], dtype=object) array(['with'], dtype=object)
+ array(['a', 'net', 'loss'], dtype=object) array(['of'], dtype=object)
+ array(['$', '12.9', 'million'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'year-earlier', 'period'], dtype=object)
+ array(['on'], dtype=object) array(['revenue'], dtype=object)
+ array(['of'], dtype=object) array(['$', '9.1', 'million'], dtype=object)]",['revenue'],['ADVP' 'PP' 'NP' 'VP'],2
+"At discount brokerage Charles Schwab & Co. , such `` cash-equivalent '' investments recently accounted for a record $ 8 billion of the firm 's $ 25 billion of client 's assets .","[array(['At'], dtype=object)
+ array(['discount', 'brokerage', 'Charles', 'Schwab', '&', 'Co.'],
+       dtype=object)
+ array(['such', '``', 'cash-equivalent', ""''"", 'investments'], dtype=object)
+ array(['recently'], dtype=object) array(['accounted'], dtype=object)
+ array(['for'], dtype=object)
+ array(['a', 'record', '$', '8', 'billion'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'firm'], dtype=object)
+ array([""'s"", '$', '25', 'billion'], dtype=object)
+ array(['of'], dtype=object) array(['client'], dtype=object)
+ array([""'s"", 'assets'], dtype=object)]","[""'s"" '$' '25' 'billion']",['ADJP' 'PP' 'NP' 'VP'],2
+"`` Regardless of whether one supports or opposes the right to an abortion , '' Mr. Freind argues , `` it is virtually impossible for any rational human being to disagree with the concept that a woman has the right to have all of the appropriate materials and advice made available to her before she makes a decision which , one way or the other , might remain with her for the rest of her life . ''","[array(['Regardless'], dtype=object) array(['of'], dtype=object)
+ array(['whether'], dtype=object) array(['one'], dtype=object)
+ array(['supports', 'or', 'opposes'], dtype=object)
+ array(['the', 'right'], dtype=object) array(['to'], dtype=object)
+ array(['an', 'abortion'], dtype=object)
+ array(['Mr.', 'Freind'], dtype=object) array(['argues'], dtype=object)
+ array(['it'], dtype=object) array(['is'], dtype=object)
+ array(['virtually', 'impossible'], dtype=object)
+ array(['for'], dtype=object)
+ array(['any', 'rational', 'human', 'being'], dtype=object)
+ array(['to', 'disagree'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'concept'], dtype=object) array(['that'], dtype=object)
+ array(['a', 'woman'], dtype=object) array(['has'], dtype=object)
+ array(['the', 'right'], dtype=object) array(['to', 'have'], dtype=object)
+ array(['all'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'appropriate', 'materials', 'and', 'advice'], dtype=object)
+ array(['made'], dtype=object) array(['available'], dtype=object)
+ array(['to'], dtype=object) array(['her'], dtype=object)
+ array(['before'], dtype=object) array(['she'], dtype=object)
+ array(['makes'], dtype=object) array(['a', 'decision'], dtype=object)
+ array(['which'], dtype=object) array(['one', 'way'], dtype=object)
+ array(['the', 'other'], dtype=object)
+ array(['might', 'remain'], dtype=object) array(['with'], dtype=object)
+ array(['her'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'rest'], dtype=object) array(['of'], dtype=object)
+ array(['her', 'life'], dtype=object)]",['of'],['NP' 'VP' 'PP' 'ADVP'],2
+"The commercial , created by Bateman , Bryan & Galles Inc. , of Dallas , adds derisively : `` I bet it takes a real tough truck to haul your Ivy League buddies to the yacht club . ''","[array(['The', 'commercial'], dtype=object)
+ array(['created'], dtype=object) array(['by'], dtype=object)
+ array(['Bateman', ',', 'Bryan', '&', 'Galles', 'Inc.'], dtype=object)
+ array(['of'], dtype=object) array(['Dallas'], dtype=object)
+ array(['adds'], dtype=object) array(['derisively'], dtype=object)
+ array(['I'], dtype=object) array(['bet'], dtype=object)
+ array(['it'], dtype=object) array(['takes'], dtype=object)
+ array(['a', 'real', 'tough', 'truck'], dtype=object)
+ array(['to', 'haul'], dtype=object)
+ array(['your', 'Ivy', 'League', 'buddies'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'yacht', 'club'], dtype=object)]",['to' 'haul'],['PP' 'NP' 'VP' 'ADVP'],2
+"Final approval was on a 67-31 roll call in the Senate , which sets the stage for a veto confrontation with Mr. Bush over the issue of publicly financed abortions for poor women .","[array(['Final', 'approval'], dtype=object) array(['was'], dtype=object)
+ array(['on'], dtype=object)
+ array(['a', '67-31', 'roll', 'call'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'Senate'], dtype=object)
+ array(['which'], dtype=object) array(['sets'], dtype=object)
+ array(['the', 'stage'], dtype=object) array(['for'], dtype=object)
+ array(['a', 'veto', 'confrontation'], dtype=object)
+ array(['with'], dtype=object) array(['Mr.', 'Bush'], dtype=object)
+ array(['over'], dtype=object) array(['the', 'issue'], dtype=object)
+ array(['of'], dtype=object)
+ array(['publicly', 'financed', 'abortions'], dtype=object)
+ array(['for'], dtype=object) array(['poor', 'women'], dtype=object)]",['over'],['ADVP' 'VP' 'PP' 'NP'],2
+"Milan-based Odeon , which draws about 3 % of Italian TV viewers , has debt of 250 billion lire -LRB- $ 181.9 million -RRB- , Mr. Fiorini said .","[array(['Milan-based', 'Odeon'], dtype=object)
+ array(['which'], dtype=object) array(['draws'], dtype=object)
+ array(['about', '3', '%'], dtype=object) array(['of'], dtype=object)
+ array(['Italian', 'TV', 'viewers'], dtype=object)
+ array(['has'], dtype=object) array(['debt'], dtype=object)
+ array(['of'], dtype=object)
+ array(['250', 'billion', 'lire'], dtype=object)
+ array(['$', '181.9', 'million'], dtype=object)
+ array(['Mr.', 'Fiorini'], dtype=object) array(['said'], dtype=object)]",['of'],['NP' 'ADVP' 'PP' 'VP'],2
+"Assets of Construction Equipment International , Houston , were sold to Essex Crane Inc. , and the assets of Elgin Electronics , Erie , Pa. , were sold to closely held Charter Technologies Inc .","[array(['Assets'], dtype=object) array(['of'], dtype=object)
+ array(['Construction', 'Equipment', 'International'], dtype=object)
+ array(['Houston'], dtype=object) array(['were', 'sold'], dtype=object)
+ array(['to'], dtype=object)
+ array(['Essex', 'Crane', 'Inc.'], dtype=object)
+ array(['the', 'assets'], dtype=object) array(['of'], dtype=object)
+ array(['Elgin', 'Electronics'], dtype=object)
+ array(['Erie'], dtype=object) array(['Pa.'], dtype=object)
+ array(['were', 'sold'], dtype=object) array(['to'], dtype=object)
+ array(['closely', 'held', 'Charter', 'Technologies', 'Inc'], dtype=object)]",['to'],['NP' 'SBAR' 'PP' 'VP'],2
+The board estimated that the cost of building a pipeline from the Mackenzie delta to Alberta would be about C$ 5.9 million .,"[array(['The', 'board'], dtype=object) array(['estimated'], dtype=object)
+ array(['that'], dtype=object) array(['the', 'cost'], dtype=object)
+ array(['of'], dtype=object) array(['building'], dtype=object)
+ array(['a', 'pipeline'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'Mackenzie', 'delta'], dtype=object)
+ array(['to'], dtype=object) array(['Alberta'], dtype=object)
+ array(['would', 'be'], dtype=object)
+ array(['about', 'C$', '5.9', 'million'], dtype=object)]",['Alberta'],['ADVP' 'PP' 'NP' 'VP'],2
+"Such increased demand for reinsurance , along with the losses the reinsurers will bear from these two disasters , are likely to spur increases in reinsurance prices that will later be translated into an overall price rise .","[array(['Such', 'increased', 'demand'], dtype=object)
+ array(['for'], dtype=object) array(['reinsurance'], dtype=object)
+ array(['along'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'losses'], dtype=object)
+ array(['the', 'reinsurers'], dtype=object)
+ array(['will', 'bear'], dtype=object) array(['from'], dtype=object)
+ array(['these', 'two', 'disasters'], dtype=object)
+ array(['are'], dtype=object) array(['likely'], dtype=object)
+ array(['to', 'spur'], dtype=object) array(['increases'], dtype=object)
+ array(['in'], dtype=object)
+ array(['reinsurance', 'prices'], dtype=object)
+ array(['that'], dtype=object)
+ array(['will', 'later', 'be', 'translated'], dtype=object)
+ array(['into'], dtype=object)
+ array(['an', 'overall', 'price', 'rise'], dtype=object)]",['will' 'bear'],['PP' 'PRT' 'VP' 'NP'],2
+"In the year-ago period , the company earned $ 12.9 million , or 45 cents a share , on sales of $ 247 million .","[array(['In'], dtype=object)
+ array(['the', 'year-ago', 'period'], dtype=object)
+ array(['the', 'company'], dtype=object) array(['earned'], dtype=object)
+ array(['$', '12.9', 'million'], dtype=object)
+ array(['45', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['on'], dtype=object) array(['sales'], dtype=object)
+ array(['of'], dtype=object) array(['$', '247', 'million'], dtype=object)]",['a' 'share'],['PP' 'ADJP' 'NP' 'VP'],2
+"David H. Eisenberg , 53 years old , was named president and chief operating officer of Imasco 's 500-store Peoples Drug Stores Inc. unit , based in Alexandria , Va .","[array(['David', 'H.', 'Eisenberg'], dtype=object)
+ array(['53', 'years'], dtype=object) array(['old'], dtype=object)
+ array(['was', 'named'], dtype=object) array(['president'], dtype=object)
+ array(['chief', 'operating', 'officer'], dtype=object)
+ array(['of'], dtype=object) array(['Imasco'], dtype=object)
+ array([""'s"", '500-store', 'Peoples', 'Drug', 'Stores', 'Inc.', 'unit'],
+       dtype=object)
+ array(['based'], dtype=object) array(['in'], dtype=object)
+ array(['Alexandria'], dtype=object) array(['Va'], dtype=object)]",['Imasco'],['VP' 'ADJP' 'NP' 'PP'],2
+Sterling had completed a five-year contract for NASA but lost its bid for renewal .,"[array(['Sterling'], dtype=object)
+ array(['had', 'completed'], dtype=object)
+ array(['a', 'five-year', 'contract'], dtype=object)
+ array(['for'], dtype=object) array(['NASA'], dtype=object)
+ array(['lost'], dtype=object) array(['its', 'bid'], dtype=object)
+ array(['for'], dtype=object) array(['renewal'], dtype=object)]",['for'],['NP' 'ADVP' 'PP' 'VP'],2
+"In June , the Chicago Board of Trade said it suspended Capcom Financial .","[array(['In'], dtype=object) array(['June'], dtype=object)
+ array(['the', 'Chicago', 'Board'], dtype=object)
+ array(['of'], dtype=object) array(['Trade'], dtype=object)
+ array(['said'], dtype=object) array(['it'], dtype=object)
+ array(['suspended'], dtype=object)
+ array(['Capcom', 'Financial'], dtype=object)]",['Trade'],['VP' 'PP' 'NP' 'ADJP'],2
+"But I liked the easy friendliness of the people around me , liked it that they 'd brought their children , found it charming that , true citizens of the state of the future , they had brought so many TVs and radios to stay in touch with electroreality at a live event .","[array(['I'], dtype=object) array(['liked'], dtype=object)
+ array(['the', 'easy', 'friendliness'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'people'], dtype=object)
+ array(['around'], dtype=object) array(['me'], dtype=object)
+ array(['liked'], dtype=object) array(['it'], dtype=object)
+ array(['that'], dtype=object) array(['they'], dtype=object)
+ array([""'d"", 'brought'], dtype=object)
+ array(['their', 'children'], dtype=object) array(['found'], dtype=object)
+ array(['it'], dtype=object) array(['charming'], dtype=object)
+ array(['that'], dtype=object) array(['true', 'citizens'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'state'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'future'], dtype=object)
+ array(['they'], dtype=object) array(['had', 'brought'], dtype=object)
+ array(['so', 'many', 'TVs', 'and', 'radios'], dtype=object)
+ array(['to', 'stay'], dtype=object) array(['in'], dtype=object)
+ array(['touch'], dtype=object) array(['with'], dtype=object)
+ array(['electroreality'], dtype=object) array(['at'], dtype=object)
+ array(['a', 'live', 'event'], dtype=object)]",['touch'],['PP' 'SBAR' 'NP' 'VP'],2
+"They peck away at the 1 1\/2-mile section of rubble , searching for more of the 250 people thought to have died here .","[array(['They'], dtype=object) array(['peck'], dtype=object)
+ array(['away'], dtype=object) array(['at'], dtype=object)
+ array(['the', '1', '1\\/2-mile', 'section'], dtype=object)
+ array(['of'], dtype=object) array(['rubble'], dtype=object)
+ array(['searching'], dtype=object) array(['for'], dtype=object)
+ array(['more'], dtype=object) array(['of'], dtype=object)
+ array(['the', '250', 'people'], dtype=object)
+ array(['thought', 'to', 'have', 'died'], dtype=object)
+ array(['here'], dtype=object)]",['the' '1' '1\\/2-mile' 'section'],['PP' 'PRT' 'NP' 'ADVP'],2
+"Honda Motor Co. , the first Japanese auto maker to ship cars to Japan from the U.S. , is now exporting more than 5,000 Accord Coupes a year from its Marysville , Ohio , factory .","[array(['Honda', 'Motor', 'Co.'], dtype=object)
+ array(['the', 'first', 'Japanese', 'auto', 'maker'], dtype=object)
+ array(['to', 'ship'], dtype=object) array(['cars'], dtype=object)
+ array(['to'], dtype=object) array(['Japan'], dtype=object)
+ array(['from'], dtype=object) array(['the', 'U.S.'], dtype=object)
+ array(['is', 'now', 'exporting'], dtype=object)
+ array(['more', 'than', '5,000', 'Accord', 'Coupes'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['from'], dtype=object)
+ array(['its', 'Marysville', ',', 'Ohio', ',', 'factory'], dtype=object)]",['Honda' 'Motor' 'Co.'],['VP' 'PP' 'NP' 'PRT'],2
+"While Remic issuance may slow in the coming days because of the shift in the Treasury yield curve , underwriters continued to crank out new real estate mortgage investment conduits structured when the yield curve was more favorable .","[array(['While'], dtype=object) array(['Remic', 'issuance'], dtype=object)
+ array(['may', 'slow'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'coming', 'days'], dtype=object)
+ array(['because', 'of'], dtype=object)
+ array(['the', 'shift'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'Treasury', 'yield', 'curve'], dtype=object)
+ array(['underwriters'], dtype=object)
+ array(['continued', 'to', 'crank'], dtype=object)
+ array(['out'], dtype=object)
+ array(['new', 'real', 'estate', 'mortgage', 'investment', 'conduits'],
+       dtype=object)
+ array(['structured'], dtype=object) array(['when'], dtype=object)
+ array(['the', 'yield', 'curve'], dtype=object)
+ array(['was'], dtype=object) array(['more', 'favorable'], dtype=object)]",['the' 'shift'],['SBAR' 'VP' 'NP' 'PP'],2
+"Moreover , he said , technology now exists for stealing corporate secrets after they 've been `` erased '' from a computer 's memory .","[array(['Moreover'], dtype=object) array(['he'], dtype=object)
+ array(['said'], dtype=object) array(['technology'], dtype=object)
+ array(['now'], dtype=object) array(['exists'], dtype=object)
+ array(['for'], dtype=object) array(['stealing'], dtype=object)
+ array(['corporate', 'secrets'], dtype=object)
+ array(['after'], dtype=object) array(['they'], dtype=object)
+ array([""'ve"", 'been', '``', 'erased'], dtype=object)
+ array(['from'], dtype=object) array(['a', 'computer'], dtype=object)
+ array([""'s"", 'memory'], dtype=object)]",['from'],['VP' 'SBAR' 'PP' 'NP'],2
+A Chinese official harshly criticized plans to close a British naval base in downtown Hong Kong .,"[array(['A', 'Chinese', 'official'], dtype=object)
+ array(['harshly', 'criticized'], dtype=object)
+ array(['plans'], dtype=object) array(['to', 'close'], dtype=object)
+ array(['a', 'British', 'naval', 'base'], dtype=object)
+ array(['in'], dtype=object)
+ array(['downtown', 'Hong', 'Kong'], dtype=object)]",['in'],['VP' 'NP' 'PP' 'ADVP'],2
+"We 're no longer afraid of associating with private or foreign capital , '' he says .","[array(['We'], dtype=object) array([""'re""], dtype=object)
+ array(['no', 'longer'], dtype=object) array(['afraid'], dtype=object)
+ array(['of'], dtype=object) array(['associating'], dtype=object)
+ array(['with'], dtype=object)
+ array(['private', 'or', 'foreign', 'capital'], dtype=object)
+ array(['he'], dtype=object) array(['says'], dtype=object)]","[""'re""]",['PP' 'ADVP' 'VP' 'NP'],2
+"In Oakland , officials said the 57-year-old longshoreman who spent four days entombed in rubble was in critical condition with slight improvement .","[array(['In'], dtype=object) array(['Oakland'], dtype=object)
+ array(['officials'], dtype=object) array(['said'], dtype=object)
+ array(['the', '57-year-old', 'longshoreman'], dtype=object)
+ array(['who'], dtype=object) array(['spent'], dtype=object)
+ array(['four', 'days'], dtype=object) array(['entombed'], dtype=object)
+ array(['in'], dtype=object) array(['rubble'], dtype=object)
+ array(['was'], dtype=object) array(['in'], dtype=object)
+ array(['critical', 'condition'], dtype=object)
+ array(['with'], dtype=object)
+ array(['slight', 'improvement'], dtype=object)]",['spent'],['PP' 'ADJP' 'VP' 'NP'],2
+"Some HUD money actually does trickle down to the poor , and zeroing out housing middlemen would free up more money for public housing tenants to manage and even own their units .","[array(['Some', 'HUD', 'money'], dtype=object)
+ array(['actually'], dtype=object)
+ array(['does', 'trickle'], dtype=object) array(['down'], dtype=object)
+ array(['to'], dtype=object) array(['the', 'poor'], dtype=object)
+ array(['zeroing'], dtype=object) array(['out'], dtype=object)
+ array(['housing', 'middlemen'], dtype=object)
+ array(['would', 'free'], dtype=object) array(['up'], dtype=object)
+ array(['more', 'money'], dtype=object) array(['for'], dtype=object)
+ array(['public', 'housing', 'tenants'], dtype=object)
+ array(['to', 'manage'], dtype=object) array(['even'], dtype=object)
+ array(['own'], dtype=object) array(['their', 'units'], dtype=object)]",['Some' 'HUD' 'money'],['SBAR' 'VP' 'NP' 'PP'],2
+"Its popularity was due to speculation about the strong earnings potential of a new type of plastic wrap for household use , a trader at County Natwest Securities Japan said .","[array(['Its', 'popularity'], dtype=object) array(['was'], dtype=object)
+ array(['due'], dtype=object) array(['to'], dtype=object)
+ array(['speculation'], dtype=object) array(['about'], dtype=object)
+ array(['the', 'strong', 'earnings', 'potential'], dtype=object)
+ array(['of'], dtype=object) array(['a', 'new', 'type'], dtype=object)
+ array(['of'], dtype=object) array(['plastic', 'wrap'], dtype=object)
+ array(['for'], dtype=object) array(['household', 'use'], dtype=object)
+ array(['a', 'trader'], dtype=object) array(['at'], dtype=object)
+ array(['County', 'Natwest', 'Securities', 'Japan'], dtype=object)
+ array(['said'], dtype=object)]",['to'],['VP' 'ADVP' 'PP' 'NP'],2
+"Instead of hoping to sell his USAir stake at analysts ' estimated buy-out price of $ 80 a share , Mr. Steinhardt is stuck with roughly 3.7 million USAir shares that cost him $ 45 , on average , but yesterday closed at 40 1\/2 , up 1\/4 , in New York Stock Exchange composite trading .","[array(['Instead', 'of'], dtype=object)
+ array(['hoping', 'to', 'sell'], dtype=object)
+ array(['his', 'USAir', 'stake'], dtype=object)
+ array(['at'], dtype=object) array(['analysts'], dtype=object)
+ array([""'"", 'estimated', 'buy-out', 'price'], dtype=object)
+ array(['of'], dtype=object) array(['$', '80'], dtype=object)
+ array(['a', 'share'], dtype=object)
+ array(['Mr.', 'Steinhardt'], dtype=object)
+ array(['is', 'stuck'], dtype=object) array(['with'], dtype=object)
+ array(['roughly', '3.7', 'million', 'USAir', 'shares'], dtype=object)
+ array(['that'], dtype=object) array(['cost'], dtype=object)
+ array(['him'], dtype=object) array(['$', '45'], dtype=object)
+ array(['on'], dtype=object) array(['average'], dtype=object)
+ array(['yesterday'], dtype=object) array(['closed'], dtype=object)
+ array(['at'], dtype=object) array(['40', '1\\/2'], dtype=object)
+ array(['up'], dtype=object) array(['1\\/4'], dtype=object)
+ array(['in'], dtype=object)
+ array(['New', 'York', 'Stock', 'Exchange', 'composite', 'trading'],
+       dtype=object)                                                ]",['his' 'USAir' 'stake'],['VP' 'PRT' 'NP' 'PP'],2
+That largely reflects the heavy stockholdings .,"[array(['That'], dtype=object)
+ array(['largely', 'reflects'], dtype=object)
+ array(['the', 'heavy', 'stockholdings'], dtype=object)]",['That'],['PP' 'ADVP' 'NP' 'VP'],2
+"Data for 1987 from the National Association of Suggestion Systems and the Japan Human Relations Association also indicate that Japanese employers adopt four of five suggestions , while their U.S. counterparts accept just one in four .","[array(['Data'], dtype=object) array(['for'], dtype=object)
+ array(['1987'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'National', 'Association'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Suggestion', 'Systems'], dtype=object)
+ array(['the', 'Japan', 'Human', 'Relations', 'Association'], dtype=object)
+ array(['also'], dtype=object) array(['indicate'], dtype=object)
+ array(['that'], dtype=object)
+ array(['Japanese', 'employers'], dtype=object)
+ array(['adopt'], dtype=object)
+ array(['four', 'of', 'five', 'suggestions'], dtype=object)
+ array(['while'], dtype=object)
+ array(['their', 'U.S.', 'counterparts'], dtype=object)
+ array(['accept'], dtype=object)
+ array(['just', 'one', 'in', 'four'], dtype=object)]",['of'],['ADJP' 'NP' 'PP' 'VP'],2
+"`` The report provides detailed documentation of the extent and nature of the problem and indicates how we may want to shape solutions , '' said Joseph Genova , chairman of the committee that oversaw the survey and a partner at the law firm of Milbank , Tweed , Hadley & McCloy .","[array(['The', 'report'], dtype=object) array(['provides'], dtype=object)
+ array(['detailed', 'documentation'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'extent', 'and', 'nature'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'problem'], dtype=object)
+ array(['indicates'], dtype=object) array(['how'], dtype=object)
+ array(['we'], dtype=object)
+ array(['may', 'want', 'to', 'shape'], dtype=object)
+ array(['solutions'], dtype=object) array(['said'], dtype=object)
+ array(['Joseph', 'Genova'], dtype=object)
+ array(['chairman'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'committee'], dtype=object) array(['that'], dtype=object)
+ array(['oversaw'], dtype=object) array(['the', 'survey'], dtype=object)
+ array(['a', 'partner'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'law', 'firm'], dtype=object) array(['of'], dtype=object)
+ array(['Milbank', ',', 'Tweed', ',', 'Hadley', '&', 'McCloy'],
+       dtype=object)                                           ]",['of'],['SBAR' 'VP' 'PP' 'NP'],2
+Air-freight carriers raised their rates for U.S. products going across the Pacific to Asia by about 20 % earlier this month .,"[array(['Air-freight', 'carriers'], dtype=object)
+ array(['raised'], dtype=object) array(['their', 'rates'], dtype=object)
+ array(['for'], dtype=object) array(['U.S.', 'products'], dtype=object)
+ array(['going'], dtype=object) array(['across'], dtype=object)
+ array(['the', 'Pacific'], dtype=object) array(['to'], dtype=object)
+ array(['Asia'], dtype=object) array(['by'], dtype=object)
+ array(['about', '20', '%'], dtype=object)
+ array(['earlier', 'this', 'month'], dtype=object)]",['for'],['NP' 'ADVP' 'PP' 'VP'],2
+Companies get more political clout plus a possible tax-deductible charitable donation -- so far no word from the IRS on deductibility .,"[array(['Companies'], dtype=object) array(['get'], dtype=object)
+ array(['more', 'political', 'clout'], dtype=object)
+ array(['plus'], dtype=object)
+ array(['a', 'possible', 'tax-deductible', 'charitable', 'donation'],
+       dtype=object)
+ array(['so', 'far'], dtype=object) array(['no', 'word'], dtype=object)
+ array(['from'], dtype=object) array(['the', 'IRS'], dtype=object)
+ array(['on'], dtype=object) array(['deductibility'], dtype=object)]",['from'],['NP' 'VP' 'PP' 'ADVP'],2
+"It also prevents the conduct of a policy that has a long-term rationale , because it leaves the Fed guessing about what are the expectations of its masters , the politicians , who have never had to consider the long-term consequences of monetary policy .","[array(['It'], dtype=object) array(['also'], dtype=object)
+ array(['prevents'], dtype=object) array(['the', 'conduct'], dtype=object)
+ array(['of'], dtype=object) array(['a', 'policy'], dtype=object)
+ array(['that'], dtype=object) array(['has'], dtype=object)
+ array(['a', 'long-term', 'rationale'], dtype=object)
+ array(['because'], dtype=object) array(['it'], dtype=object)
+ array(['leaves'], dtype=object) array(['the', 'Fed'], dtype=object)
+ array(['guessing'], dtype=object) array(['about'], dtype=object)
+ array(['what'], dtype=object) array(['are'], dtype=object)
+ array(['the', 'expectations'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'masters'], dtype=object)
+ array(['the', 'politicians'], dtype=object) array(['who'], dtype=object)
+ array(['have', 'never', 'had', 'to', 'consider'], dtype=object)
+ array(['the', 'long-term', 'consequences'], dtype=object)
+ array(['of'], dtype=object) array(['monetary', 'policy'], dtype=object)]",['are'],['NP' 'PP' 'VP' 'ADVP'],2
+The new instrument also introduced many to the industry -- 30 % of fund owners -LRB- there are more than 54 million accounts -RRB- started with a money fund .,"[array(['The', 'new', 'instrument'], dtype=object)
+ array(['also'], dtype=object) array(['introduced'], dtype=object)
+ array(['many'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'industry'], dtype=object) array(['30', '%'], dtype=object)
+ array(['of'], dtype=object) array(['fund', 'owners'], dtype=object)
+ array(['there'], dtype=object) array(['are'], dtype=object)
+ array(['more', 'than', '54', 'million', 'accounts'], dtype=object)
+ array(['started'], dtype=object) array(['with'], dtype=object)
+ array(['a', 'money', 'fund'], dtype=object)]",['many'],['PP' 'VP' 'NP' 'ADJP'],2
+"`` I think there is a damned good chance someone is going to hit the skids on this , '' said Oppenheimer & Co. analyst Myron Picoult .","[array(['I'], dtype=object) array(['think'], dtype=object)
+ array(['there'], dtype=object) array(['is'], dtype=object)
+ array(['a', 'damned', 'good', 'chance'], dtype=object)
+ array(['someone'], dtype=object)
+ array(['is', 'going', 'to', 'hit'], dtype=object)
+ array(['the', 'skids'], dtype=object) array(['on'], dtype=object)
+ array(['this'], dtype=object) array(['said'], dtype=object)
+ array(['Oppenheimer', '&', 'Co.', 'analyst', 'Myron', 'Picoult'],
+       dtype=object)                                              ]",['the' 'skids'],['VP' 'PP' 'NP' 'ADVP'],2
+"`` So before I start to be really critical of NBC , I would like to know more about what happened . ''","[array(['before'], dtype=object) array(['I'], dtype=object)
+ array(['start', 'to', 'be'], dtype=object)
+ array(['really', 'critical'], dtype=object) array(['of'], dtype=object)
+ array(['NBC'], dtype=object) array(['I'], dtype=object)
+ array(['would', 'like', 'to', 'know'], dtype=object)
+ array(['more'], dtype=object) array(['about'], dtype=object)
+ array(['what'], dtype=object) array(['happened'], dtype=object)]",['what'],['PRT' 'PP' 'NP' 'VP'],2
+Which types of stocks are most likely to qualify ?,"[array(['Which', 'types'], dtype=object) array(['of'], dtype=object)
+ array(['stocks'], dtype=object) array(['are'], dtype=object)
+ array(['most', 'likely'], dtype=object)
+ array(['to', 'qualify'], dtype=object)]",['most' 'likely'],['SBAR' 'PP' 'ADVP' 'NP'],2
+SNET common rose $ 1.25 to $ 85.50 a share yesterday in composite trading on the Big Board .,"[array(['SNET', 'common'], dtype=object) array(['rose'], dtype=object)
+ array(['$', '1.25'], dtype=object) array(['to'], dtype=object)
+ array(['$', '85.50'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['yesterday'], dtype=object) array(['in'], dtype=object)
+ array(['composite', 'trading'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'Big', 'Board'], dtype=object)]",['SNET' 'common'],['VP' 'PP' 'NP' 'ADVP'],2
+"Having survived both last Friday 's 6.9 % Wall Street plunge and the immediate aftermath of the San Francisco Bay area earthquake , Tokyo market participants expressed relief that trading had returned to normal .","[array(['Having', 'survived'], dtype=object) array(['both'], dtype=object)
+ array(['last', 'Friday'], dtype=object) array([""'s""], dtype=object)
+ array(['6.9', '%'], dtype=object)
+ array(['Wall', 'Street', 'plunge'], dtype=object)
+ array(['the', 'immediate', 'aftermath'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'San', 'Francisco', 'Bay', 'area', 'earthquake'],
+       dtype=object)
+ array(['Tokyo', 'market', 'participants'], dtype=object)
+ array(['expressed'], dtype=object) array(['relief'], dtype=object)
+ array(['that'], dtype=object) array(['trading'], dtype=object)
+ array(['had', 'returned'], dtype=object) array(['to'], dtype=object)
+ array(['normal'], dtype=object)]",['that'],['NP' 'PP' 'SBAR' 'VP'],2
+Cipher Data said Mr. Marinaro consequently has resigned from those posts and from the company 's board .,"[array(['Cipher', 'Data'], dtype=object) array(['said'], dtype=object)
+ array(['Mr.', 'Marinaro'], dtype=object)
+ array(['consequently'], dtype=object)
+ array(['has', 'resigned'], dtype=object) array(['from'], dtype=object)
+ array(['those', 'posts'], dtype=object) array(['and'], dtype=object)
+ array(['from'], dtype=object) array(['the', 'company'], dtype=object)
+ array([""'s"", 'board'], dtype=object)]",['said'],['NP' 'PP' 'VP' 'ADVP'],2
+"`` After more than 200 years , something new has happened to pencils , '' said Arthur D. Little in a 1974 report that publicly described the previously secret item .","[array(['After'], dtype=object)
+ array(['more', 'than', '200', 'years'], dtype=object)
+ array(['something'], dtype=object) array(['new'], dtype=object)
+ array(['has', 'happened'], dtype=object) array(['to'], dtype=object)
+ array(['pencils'], dtype=object) array(['said'], dtype=object)
+ array(['Arthur', 'D.', 'Little'], dtype=object)
+ array(['in'], dtype=object) array(['a', '1974', 'report'], dtype=object)
+ array(['that'], dtype=object)
+ array(['publicly', 'described'], dtype=object)
+ array(['the', 'previously', 'secret', 'item'], dtype=object)]",['said'],['ADVP' 'NP' 'VP' 'SBAR'],2
+LONDON INTERBANK OFFERED RATES -LRB- LIBOR -RRB- : 8 11\/16 % one month ; 8 11\/16 % three months ; 8 1\/2 % six months ; 8 1\/2 % one year .,"[array(['LONDON', 'INTERBANK', 'OFFERED', 'RATES'], dtype=object)
+ array(['LIBOR'], dtype=object) array(['8', '11\\/16', '%'], dtype=object)
+ array(['one', 'month'], dtype=object)
+ array(['8', '11\\/16', '%'], dtype=object)
+ array(['three', 'months'], dtype=object)
+ array(['8', '1\\/2', '%'], dtype=object)
+ array(['six', 'months'], dtype=object)
+ array(['8', '1\\/2', '%'], dtype=object)
+ array(['one', 'year'], dtype=object)]",['three' 'months'],['ADJP' 'PP' 'NP' 'VP'],2
+"The guideline was n't a law , but a joint interpretation of how the U.S. might operate during foreign coups in light of the longstanding presidential order banning a U.S. role in assassinations .","[array(['The', 'guideline'], dtype=object) array(['was'], dtype=object)
+ array(['a', 'law'], dtype=object)
+ array(['a', 'joint', 'interpretation'], dtype=object)
+ array(['of'], dtype=object) array(['how'], dtype=object)
+ array(['the', 'U.S.'], dtype=object)
+ array(['might', 'operate'], dtype=object) array(['during'], dtype=object)
+ array(['foreign', 'coups'], dtype=object) array(['in'], dtype=object)
+ array(['light'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'longstanding', 'presidential', 'order'], dtype=object)
+ array(['banning'], dtype=object)
+ array(['a', 'U.S.', 'role'], dtype=object) array(['in'], dtype=object)
+ array(['assassinations'], dtype=object)]",['assassinations'],['VP' 'PP' 'NP' 'INTJ'],2
+"Although ARCO 's head office , more than 300 miles from the epicenter , was n't affected by this week 's tremors , Ms. Masaki-Schatz used the occasion to distribute a three-page memo of `` Earthquake Tips '' to 1,200 ARCO employees .","[array(['Although'], dtype=object) array(['ARCO'], dtype=object)
+ array([""'s"", 'head', 'office'], dtype=object)
+ array(['more', 'than', '300', 'miles'], dtype=object)
+ array(['from'], dtype=object) array(['the', 'epicenter'], dtype=object)
+ array(['was', ""n't"", 'affected'], dtype=object)
+ array(['by'], dtype=object) array(['this', 'week'], dtype=object)
+ array([""'s"", 'tremors'], dtype=object)
+ array(['Ms.', 'Masaki-Schatz'], dtype=object)
+ array(['used'], dtype=object) array(['the', 'occasion'], dtype=object)
+ array(['to', 'distribute'], dtype=object)
+ array(['a', 'three-page', 'memo'], dtype=object)
+ array(['of'], dtype=object)
+ array(['``', 'Earthquake', 'Tips'], dtype=object)
+ array(['to'], dtype=object)
+ array(['1,200', 'ARCO', 'employees'], dtype=object)]",['used'],['NP' 'ADVP' 'VP' 'PP'],2
+"The shutdown affects 3,000 workers and will cut output by about 4,320 cars .","[array(['The', 'shutdown'], dtype=object) array(['affects'], dtype=object)
+ array(['3,000', 'workers'], dtype=object)
+ array(['will', 'cut'], dtype=object) array(['output'], dtype=object)
+ array(['by'], dtype=object)
+ array(['about', '4,320', 'cars'], dtype=object)]",['output'],['VP' 'PP' 'NP' 'PRT'],2
+"The would-be raider even hired an investment banker to give teeth to his takeover threat , which was widely interpreted as an effort to flush out an acquirer for USAir , or for his own stake .","[array(['The', 'would-be', 'raider'], dtype=object)
+ array(['even', 'hired'], dtype=object)
+ array(['an', 'investment', 'banker'], dtype=object)
+ array(['to', 'give'], dtype=object) array(['teeth'], dtype=object)
+ array(['to'], dtype=object)
+ array(['his', 'takeover', 'threat'], dtype=object)
+ array(['which'], dtype=object)
+ array(['was', 'widely', 'interpreted'], dtype=object)
+ array(['as'], dtype=object) array(['an', 'effort'], dtype=object)
+ array(['to', 'flush'], dtype=object) array(['out'], dtype=object)
+ array(['an', 'acquirer'], dtype=object) array(['for'], dtype=object)
+ array(['USAir'], dtype=object) array([',', 'or'], dtype=object)
+ array(['for'], dtype=object) array(['his', 'own', 'stake'], dtype=object)]",['The' 'would-be' 'raider'],['VP' 'PP' 'NP' 'ADJP'],2
+"Detroit Edison , the plan pioneer , generated $ 54,000 in matching funds this year , up from $ 39,000 in 1988 .","[array(['Detroit', 'Edison'], dtype=object)
+ array(['the', 'plan', 'pioneer'], dtype=object)
+ array(['generated'], dtype=object) array(['$', '54,000'], dtype=object)
+ array(['in'], dtype=object) array(['matching', 'funds'], dtype=object)
+ array(['this', 'year'], dtype=object) array(['up'], dtype=object)
+ array(['from'], dtype=object) array(['$', '39,000'], dtype=object)
+ array(['in'], dtype=object) array(['1988'], dtype=object)]",['this' 'year'],['ADVP' 'PP' 'NP' 'VP'],2
+"`` There 's still a lot of pressure on rates in both rail and truck , '' said Gerard McCullough , lecturer in transportation at Massachusetts Institute of Technology .","[array(['There'], dtype=object) array([""'s""], dtype=object)
+ array(['still'], dtype=object) array(['a', 'lot'], dtype=object)
+ array(['of'], dtype=object) array(['pressure'], dtype=object)
+ array(['on'], dtype=object) array(['rates'], dtype=object)
+ array(['in'], dtype=object)
+ array(['both', 'rail', 'and', 'truck'], dtype=object)
+ array(['said'], dtype=object)
+ array(['Gerard', 'McCullough'], dtype=object)
+ array(['lecturer'], dtype=object) array(['in'], dtype=object)
+ array(['transportation'], dtype=object) array(['at'], dtype=object)
+ array(['Massachusetts', 'Institute'], dtype=object)
+ array(['of'], dtype=object) array(['Technology'], dtype=object)]",['rates'],['PP' 'VP' 'NP' 'ADVP'],2
+"Moreover , BankAmerica continued to build its reserve against troubled foreign loans by boosting its loan-loss provision to $ 170 million , about the same as the previous quarter but well above the $ 100 million in the year-earlier quarter .","[array(['Moreover'], dtype=object) array(['BankAmerica'], dtype=object)
+ array(['continued', 'to', 'build'], dtype=object)
+ array(['its', 'reserve'], dtype=object) array(['against'], dtype=object)
+ array(['troubled', 'foreign', 'loans'], dtype=object)
+ array(['by'], dtype=object) array(['boosting'], dtype=object)
+ array(['its', 'loan-loss', 'provision'], dtype=object)
+ array(['to'], dtype=object) array(['$', '170', 'million'], dtype=object)
+ array(['about', 'the', 'same'], dtype=object) array(['as'], dtype=object)
+ array(['the', 'previous', 'quarter'], dtype=object)
+ array(['well', 'above'], dtype=object)
+ array(['the', '$', '100', 'million'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'year-earlier', 'quarter'], dtype=object)]",['against'],['VP' 'NP' 'PP' 'ADJP'],2
+"ADN said Mr. Honecker , a hard-line Stalinist who in 1961 supervised the construction of the Berlin Wall , also was relieved of his title as head of state and his position as chief of the military .","[array(['ADN'], dtype=object) array(['said'], dtype=object)
+ array(['Mr.', 'Honecker'], dtype=object)
+ array(['a', 'hard-line', 'Stalinist'], dtype=object)
+ array(['who'], dtype=object) array(['in'], dtype=object)
+ array(['1961'], dtype=object) array(['supervised'], dtype=object)
+ array(['the', 'construction'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Berlin', 'Wall'], dtype=object)
+ array(['also'], dtype=object) array(['was', 'relieved'], dtype=object)
+ array(['of'], dtype=object) array(['his', 'title'], dtype=object)
+ array(['as'], dtype=object) array(['head'], dtype=object)
+ array(['of'], dtype=object) array(['state'], dtype=object)
+ array(['his', 'position'], dtype=object) array(['as'], dtype=object)
+ array(['chief'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'military'], dtype=object)]",['of'],['NP' 'ADJP' 'PP' 'VP'],2
+"Ford officials said they expected the two Merkurs would sell about 15,000 cars a year , and in 1988 they reached that goal , as sales hit 15,261 cars .","[array(['Ford', 'officials'], dtype=object) array(['said'], dtype=object)
+ array(['they'], dtype=object) array(['expected'], dtype=object)
+ array(['the', 'two', 'Merkurs'], dtype=object)
+ array(['would', 'sell'], dtype=object)
+ array(['about', '15,000', 'cars'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['in'], dtype=object)
+ array(['1988'], dtype=object) array(['they'], dtype=object)
+ array(['reached'], dtype=object) array(['that', 'goal'], dtype=object)
+ array(['as'], dtype=object) array(['sales'], dtype=object)
+ array(['hit'], dtype=object) array(['15,261', 'cars'], dtype=object)]",['reached'],['PP' 'NP' 'VP' 'ADVP'],2
+"The agreement also called for Reebok to receive warrants to purchase 400,000 shares of CML common at $ 31.25 a share , exercisable at any time before July 1 ,","[array(['The', 'agreement'], dtype=object) array(['also'], dtype=object)
+ array(['called'], dtype=object) array(['for'], dtype=object)
+ array(['Reebok'], dtype=object) array(['to', 'receive'], dtype=object)
+ array(['warrants'], dtype=object) array(['to', 'purchase'], dtype=object)
+ array(['400,000', 'shares'], dtype=object) array(['of'], dtype=object)
+ array(['CML', 'common'], dtype=object) array(['at'], dtype=object)
+ array(['$', '31.25'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['exercisable'], dtype=object) array(['at'], dtype=object)
+ array(['any', 'time'], dtype=object) array(['before'], dtype=object)
+ array(['July', '1'], dtype=object)]","['400,000' 'shares']",['ADVP' 'PP' 'NP' 'VP'],2
+But skeptics question whether asset-backed bonds offer sufficient rewards to compensate for the extra risks .,"[array(['skeptics'], dtype=object) array(['question'], dtype=object)
+ array(['whether'], dtype=object)
+ array(['asset-backed', 'bonds'], dtype=object)
+ array(['offer'], dtype=object)
+ array(['sufficient', 'rewards'], dtype=object)
+ array(['to', 'compensate'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'extra', 'risks'], dtype=object)]",['asset-backed' 'bonds'],['VP' 'ADVP' 'NP' 'PP'],2
+"Typical , perhaps , was the situation at New United Motor Manufacturing Inc. , the General Motors Corp.-Toyota joint-venture auto plant in Fremont , about 35 miles south of Oakland .","[array(['Typical'], dtype=object) array(['perhaps'], dtype=object)
+ array(['was'], dtype=object) array(['the', 'situation'], dtype=object)
+ array(['at'], dtype=object)
+ array(['New', 'United', 'Motor', 'Manufacturing', 'Inc.'], dtype=object)
+ array(['the', 'General', 'Motors', 'Corp.-Toyota', 'joint-venture',
+        'auto', 'plant'], dtype=object)
+ array(['in'], dtype=object) array(['Fremont'], dtype=object)
+ array(['about', '35', 'miles'], dtype=object)
+ array(['south'], dtype=object) array(['of'], dtype=object)
+ array(['Oakland'], dtype=object)]",['was'],['ADJP' 'PP' 'VP' 'NP'],2
+"More than half of poor families were headed by women living without men , the bureau said .","[array(['More', 'than', 'half'], dtype=object) array(['of'], dtype=object)
+ array(['poor', 'families'], dtype=object)
+ array(['were', 'headed'], dtype=object) array(['by'], dtype=object)
+ array(['women'], dtype=object) array(['living'], dtype=object)
+ array(['without'], dtype=object) array(['men'], dtype=object)
+ array(['the', 'bureau'], dtype=object) array(['said'], dtype=object)]",['living'],['NP' 'PP' 'VP' 'SBAR'],2
+The disagreement centers on testing deadlines and other issues involving a FileNet system installed earlier this year .,"[array(['The', 'disagreement'], dtype=object)
+ array(['centers'], dtype=object) array(['on'], dtype=object)
+ array(['testing', 'deadlines'], dtype=object)
+ array(['other', 'issues'], dtype=object)
+ array(['involving'], dtype=object)
+ array(['a', 'FileNet', 'system'], dtype=object)
+ array(['installed'], dtype=object) array(['earlier'], dtype=object)
+ array(['this', 'year'], dtype=object)]",['testing' 'deadlines'],['ADVP' 'VP' 'NP' 'PP'],2
+Independent directors would be able to block transactions they unanimously deem would be likely to depress the private market value of LIN at the time it is to be sold in five years .,"[array(['Independent', 'directors'], dtype=object)
+ array(['would', 'be'], dtype=object) array(['able'], dtype=object)
+ array(['to', 'block'], dtype=object)
+ array(['transactions'], dtype=object) array(['they'], dtype=object)
+ array(['unanimously', 'deem'], dtype=object)
+ array(['would', 'be'], dtype=object) array(['likely'], dtype=object)
+ array(['to', 'depress'], dtype=object)
+ array(['the', 'private', 'market', 'value'], dtype=object)
+ array(['of'], dtype=object) array(['LIN'], dtype=object)
+ array(['at'], dtype=object) array(['the', 'time'], dtype=object)
+ array(['it'], dtype=object) array(['is'], dtype=object)
+ array(['to', 'be', 'sold'], dtype=object) array(['in'], dtype=object)
+ array(['five', 'years'], dtype=object)]",['Independent' 'directors'],['ADJP' 'VP' 'NP' 'PP'],2
+This information was gleaned from your own news stories on the region .,"[array(['This', 'information'], dtype=object)
+ array(['was', 'gleaned'], dtype=object) array(['from'], dtype=object)
+ array(['your', 'own', 'news', 'stories'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'region'], dtype=object)]",['your' 'own' 'news' 'stories'],['PRT' 'VP' 'NP' 'PP'],2
+"Posted yields on 30 year mortgage commitments for delivery within 30 days -LRB- priced at par -RRB- 9.83 % , standard conventional fixed-rate mortgages ; 8.70 % , 6\/2 rate capped one-year adjustable rate mortgages .","[array(['Posted', 'yields'], dtype=object) array(['on'], dtype=object)
+ array(['30', 'year', 'mortgage', 'commitments'], dtype=object)
+ array(['for'], dtype=object) array(['delivery'], dtype=object)
+ array(['within'], dtype=object) array(['30', 'days'], dtype=object)
+ array(['priced'], dtype=object) array(['at'], dtype=object)
+ array(['par'], dtype=object) array(['9.83', '%'], dtype=object)
+ array(['standard', 'conventional', 'fixed-rate', 'mortgages'],
+       dtype=object)
+ array(['8.70', '%'], dtype=object)
+ array(['6\\/2', 'rate', 'capped', 'one-year', 'adjustable', 'rate',
+        'mortgages'], dtype=object)                                 ]",['on'],['VP' 'NP' 'PP' 'SBAR'],2
+"IBM , based in Armonk , N.Y. , has dominated the market for decades .","[array(['IBM'], dtype=object) array(['based'], dtype=object)
+ array(['in'], dtype=object) array(['Armonk'], dtype=object)
+ array(['N.Y.'], dtype=object) array(['has', 'dominated'], dtype=object)
+ array(['the', 'market'], dtype=object) array(['for'], dtype=object)
+ array(['decades'], dtype=object)]",['has' 'dominated'],['NP' 'PP' 'VP' 'SBAR'],2
+One news show we saw yesterday even displayed 25 federal officials meeting around a table .,"[array(['One', 'news', 'show'], dtype=object) array(['we'], dtype=object)
+ array(['saw'], dtype=object) array(['yesterday'], dtype=object)
+ array(['even'], dtype=object) array(['displayed'], dtype=object)
+ array(['25', 'federal', 'officials'], dtype=object)
+ array(['meeting'], dtype=object) array(['around'], dtype=object)
+ array(['a', 'table'], dtype=object)]",['we'],['PP' 'ADVP' 'NP' 'VP'],2
+"Meanwhile , East Germany 's growing openness may even allow the state-controlled news media to display a muted sense of humor .","[array(['Meanwhile'], dtype=object)
+ array(['East', 'Germany'], dtype=object)
+ array([""'s"", 'growing', 'openness'], dtype=object)
+ array(['may', 'even', 'allow'], dtype=object)
+ array(['the', 'state-controlled', 'news', 'media'], dtype=object)
+ array(['to', 'display'], dtype=object)
+ array(['a', 'muted', 'sense'], dtype=object) array(['of'], dtype=object)
+ array(['humor'], dtype=object)]",['of'],['NP' 'VP' 'PP' 'ADVP'],2
+Defense experts say joint projects are increasingly squeezed by budget pressures and the desire to save domestic jobs ; some also fear rising protectionism as European unity nears .,"[array(['Defense', 'experts'], dtype=object) array(['say'], dtype=object)
+ array(['joint', 'projects'], dtype=object)
+ array(['are', 'increasingly', 'squeezed'], dtype=object)
+ array(['by'], dtype=object) array(['budget', 'pressures'], dtype=object)
+ array(['the', 'desire'], dtype=object)
+ array(['to', 'save'], dtype=object)
+ array(['domestic', 'jobs'], dtype=object) array(['some'], dtype=object)
+ array(['also'], dtype=object) array(['fear'], dtype=object)
+ array(['rising', 'protectionism'], dtype=object)
+ array(['as'], dtype=object) array(['European', 'unity'], dtype=object)
+ array(['nears'], dtype=object)]",['domestic' 'jobs'],['VP' 'PP' 'NP' 'PRT'],2
+"Westmoreland exports about a fourth of its coal tonnage , including a significant amount of metallurgical coal produced by others that is used by steelmakers overseas .","[array(['Westmoreland'], dtype=object) array(['exports'], dtype=object)
+ array(['about', 'a', 'fourth'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'coal', 'tonnage'], dtype=object)
+ array(['including'], dtype=object)
+ array(['a', 'significant', 'amount'], dtype=object)
+ array(['of'], dtype=object)
+ array(['metallurgical', 'coal'], dtype=object)
+ array(['produced'], dtype=object) array(['by'], dtype=object)
+ array(['others'], dtype=object) array(['that'], dtype=object)
+ array(['is', 'used'], dtype=object) array(['by'], dtype=object)
+ array(['steelmakers'], dtype=object) array(['overseas'], dtype=object)]",['a' 'significant' 'amount'],['VP' 'PP' 'NP' 'ADJP'],2
+It is quite unfortunate that you failed so miserably in reporting the Hurricane Hugo disaster .,"[array(['It'], dtype=object) array(['is'], dtype=object)
+ array(['quite', 'unfortunate'], dtype=object)
+ array(['that'], dtype=object) array(['you'], dtype=object)
+ array(['failed'], dtype=object) array(['so', 'miserably'], dtype=object)
+ array(['in'], dtype=object) array(['reporting'], dtype=object)
+ array(['the', 'Hurricane', 'Hugo', 'disaster'], dtype=object)]",['so' 'miserably'],['NP' 'VP' 'ADVP' 'PP'],2
+Hoses and plastics together account for about 42 % of Trinova 's total annual sales .,"[array(['Hoses', 'and', 'plastics'], dtype=object)
+ array(['together'], dtype=object) array(['account'], dtype=object)
+ array(['for'], dtype=object) array(['about', '42', '%'], dtype=object)
+ array(['of'], dtype=object) array(['Trinova'], dtype=object)
+ array([""'s"", 'total', 'annual', 'sales'], dtype=object)]",['of'],['VP' 'ADVP' 'PP' 'NP'],2
+"Indeed , many traders said that uncertainty about today 's monthly expiration of stocks-index futures and options , and options on individual stocks , prompted a lot of buying by speculative traders who were unwinding positions that were bets on declining stock prices .","[array(['Indeed'], dtype=object) array(['many', 'traders'], dtype=object)
+ array(['said'], dtype=object) array(['uncertainty'], dtype=object)
+ array(['about'], dtype=object) array(['today'], dtype=object)
+ array([""'s"", 'monthly', 'expiration'], dtype=object)
+ array(['of'], dtype=object)
+ array(['stocks-index', 'futures', 'and', 'options'], dtype=object)
+ array(['options'], dtype=object) array(['on'], dtype=object)
+ array(['individual', 'stocks'], dtype=object)
+ array(['prompted'], dtype=object) array(['a', 'lot'], dtype=object)
+ array(['of'], dtype=object) array(['buying'], dtype=object)
+ array(['by'], dtype=object)
+ array(['speculative', 'traders'], dtype=object)
+ array(['who'], dtype=object) array(['were', 'unwinding'], dtype=object)
+ array(['positions'], dtype=object) array(['that'], dtype=object)
+ array(['were'], dtype=object) array(['bets'], dtype=object)
+ array(['on'], dtype=object)
+ array(['declining', 'stock', 'prices'], dtype=object)]",['individual' 'stocks'],['ADVP' 'PP' 'NP' 'VP'],2
+"Moreover , unlike Mr. Buffett , who often holds big stakes in companies for years , Mr. Steinhardt has n't in the past done much long-term investing .","[array(['Moreover'], dtype=object) array(['unlike'], dtype=object)
+ array(['Mr.', 'Buffett'], dtype=object) array(['who'], dtype=object)
+ array(['often'], dtype=object) array(['holds'], dtype=object)
+ array(['big', 'stakes'], dtype=object) array(['in'], dtype=object)
+ array(['companies'], dtype=object) array(['for'], dtype=object)
+ array(['years'], dtype=object) array(['Mr.', 'Steinhardt'], dtype=object)
+ array(['has'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'past'], dtype=object) array(['done'], dtype=object)
+ array(['much', 'long-term', 'investing'], dtype=object)]",['who'],['ADVP' 'PP' 'NP' 'VP'],2
+Mr. Goldberg says the cost of the earthquake will definitely top $ 1 billion and could reach $ 4 billion .,"[array(['Mr.', 'Goldberg'], dtype=object) array(['says'], dtype=object)
+ array(['the', 'cost'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'earthquake'], dtype=object)
+ array(['will', 'definitely', 'top'], dtype=object)
+ array(['$', '1', 'billion'], dtype=object)
+ array(['could', 'reach'], dtype=object)
+ array(['$', '4', 'billion'], dtype=object)]",['the' 'earthquake'],['PP' 'SBAR' 'NP' 'VP'],2
+"The Dow Jones Industrial Average rallied on the news , closing 39.55 points higher at 2683.20 .","[array(['The', 'Dow', 'Jones', 'Industrial', 'Average'], dtype=object)
+ array(['rallied'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'news'], dtype=object) array(['closing'], dtype=object)
+ array(['39.55', 'points'], dtype=object) array(['higher'], dtype=object)
+ array(['at'], dtype=object) array(['2683.20'], dtype=object)]",['the' 'news'],['PP' 'VP' 'NP' 'ADVP'],2
+"The U.S. is required to notify foreign dictators if it knows of coup plans likely to endanger their lives , government officials said .","[array(['The', 'U.S.'], dtype=object)
+ array(['is', 'required', 'to', 'notify'], dtype=object)
+ array(['foreign', 'dictators'], dtype=object) array(['if'], dtype=object)
+ array(['it'], dtype=object) array(['knows'], dtype=object)
+ array(['of'], dtype=object) array(['coup', 'plans'], dtype=object)
+ array(['likely'], dtype=object) array(['to', 'endanger'], dtype=object)
+ array(['their', 'lives'], dtype=object)
+ array(['government', 'officials'], dtype=object)
+ array(['said'], dtype=object)]",['foreign' 'dictators'],['ADJP' 'VP' 'NP' 'PP'],2
+"As a result , prices paid to farmers for the commodities , which are used in products as diverse as bubble gum and chicken feed , plummet 20 % to 33 % .","[array(['As'], dtype=object) array(['a', 'result'], dtype=object)
+ array(['prices'], dtype=object) array(['paid'], dtype=object)
+ array(['to'], dtype=object) array(['farmers'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'commodities'], dtype=object)
+ array(['which'], dtype=object) array(['are', 'used'], dtype=object)
+ array(['in'], dtype=object) array(['products'], dtype=object)
+ array(['as', 'diverse'], dtype=object) array(['as'], dtype=object)
+ array(['bubble', 'gum'], dtype=object)
+ array(['chicken', 'feed'], dtype=object) array(['plummet'], dtype=object)
+ array(['20', '%'], dtype=object) array(['33', '%'], dtype=object)]",['to'],['VP' 'NP' 'PP' 'ADVP'],2
+"The earthquake that hit the San Francisco Bay area is n't likely to result in wholesale downgrading of bond ratings , officials at the two major rating agencies said .","[array(['The', 'earthquake'], dtype=object) array(['that'], dtype=object)
+ array(['hit'], dtype=object)
+ array(['the', 'San', 'Francisco', 'Bay', 'area'], dtype=object)
+ array(['is'], dtype=object) array(['likely'], dtype=object)
+ array(['to', 'result'], dtype=object) array(['in'], dtype=object)
+ array(['wholesale', 'downgrading'], dtype=object)
+ array(['of'], dtype=object) array(['bond', 'ratings'], dtype=object)
+ array(['officials'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'two', 'major', 'rating', 'agencies'], dtype=object)
+ array(['said'], dtype=object)]",['to' 'result'],['ADJP' 'NP' 'VP' 'PP'],2
+"Nationwide , output of light industrial products declined 1.8 % -- `` the first decline in 10 years , '' a bureau spokesman told China Daily .","[array(['Nationwide'], dtype=object) array(['output'], dtype=object)
+ array(['of'], dtype=object)
+ array(['light', 'industrial', 'products'], dtype=object)
+ array(['declined'], dtype=object) array(['1.8', '%'], dtype=object)
+ array(['the', 'first', 'decline'], dtype=object)
+ array(['in'], dtype=object) array(['10', 'years'], dtype=object)
+ array(['a', 'bureau', 'spokesman'], dtype=object)
+ array(['told'], dtype=object) array(['China', 'Daily'], dtype=object)]",['told'],['NP' 'SBAR' 'VP' 'PP'],2
+"The computer giant 's current mainframe line , which has sold well and has huge profit margins , is starting to show its age .","[array(['The', 'computer', 'giant'], dtype=object)
+ array([""'s"", 'current', 'mainframe', 'line'], dtype=object)
+ array(['which'], dtype=object) array(['has', 'sold'], dtype=object)
+ array(['well'], dtype=object) array(['has'], dtype=object)
+ array(['huge', 'profit', 'margins'], dtype=object)
+ array(['is', 'starting', 'to', 'show'], dtype=object)
+ array(['its', 'age'], dtype=object)]",['The' 'computer' 'giant'],['VP' 'ADVP' 'NP' 'PP'],2
+"See that they know company personnel policy backwards and forwards , for it is the `` law '' governing company courts and adjudicators .","[array(['See'], dtype=object) array(['that'], dtype=object)
+ array(['they'], dtype=object) array(['know'], dtype=object)
+ array(['company', 'personnel', 'policy'], dtype=object)
+ array(['backwards', 'and', 'forwards'], dtype=object)
+ array(['it'], dtype=object) array(['is'], dtype=object)
+ array(['the', '``', 'law'], dtype=object)
+ array(['governing'], dtype=object)
+ array(['company', 'courts', 'and', 'adjudicators'], dtype=object)]",['governing'],['PP' 'SBAR' 'VP' 'NP'],2
+Pencil pushers chew and put the plastic models behind their ears just like traditional pencils made of glued strips of California incense cedar filled with ceramic lead .,"[array(['Pencil', 'pushers'], dtype=object) array(['chew'], dtype=object)
+ array(['put'], dtype=object)
+ array(['the', 'plastic', 'models'], dtype=object)
+ array(['behind'], dtype=object) array(['their', 'ears'], dtype=object)
+ array(['just', 'like'], dtype=object)
+ array(['traditional', 'pencils'], dtype=object)
+ array(['made'], dtype=object) array(['of'], dtype=object)
+ array(['glued', 'strips'], dtype=object) array(['of'], dtype=object)
+ array(['California', 'incense', 'cedar'], dtype=object)
+ array(['filled'], dtype=object) array(['with'], dtype=object)
+ array(['ceramic', 'lead'], dtype=object)]",['glued' 'strips'],['ADVP' 'PP' 'NP' 'VP'],2
+"Per-share earnings were enhanced by the company 's share buy-back program , which reduced the average shares outstanding to 87.5 million in the quarter from 95.8 million in the same quarter of 1988 .","[array(['Per-share', 'earnings'], dtype=object)
+ array(['were', 'enhanced'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array([""'s"", 'share', 'buy-back', 'program'], dtype=object)
+ array(['which'], dtype=object) array(['reduced'], dtype=object)
+ array(['the', 'average', 'shares'], dtype=object)
+ array(['outstanding'], dtype=object) array(['to'], dtype=object)
+ array(['87.5', 'million'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'quarter'], dtype=object) array(['from'], dtype=object)
+ array(['95.8', 'million'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'same', 'quarter'], dtype=object)
+ array(['of'], dtype=object) array(['1988'], dtype=object)]",['were' 'enhanced'],['NP' 'PP' 'VP' 'ADJP'],2
+"In an apparent warning to currency traders who have lately been selling the British currency , he stated that the exchange rates will have a `` major role in the assessment of monetary conditions . ''","[array(['In'], dtype=object)
+ array(['an', 'apparent', 'warning'], dtype=object)
+ array(['to'], dtype=object) array(['currency', 'traders'], dtype=object)
+ array(['who'], dtype=object)
+ array(['have', 'lately', 'been', 'selling'], dtype=object)
+ array(['the', 'British', 'currency'], dtype=object)
+ array(['he'], dtype=object) array(['stated'], dtype=object)
+ array(['that'], dtype=object)
+ array(['the', 'exchange', 'rates'], dtype=object)
+ array(['will', 'have'], dtype=object)
+ array(['a', '``', 'major', 'role'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'assessment'], dtype=object)
+ array(['of'], dtype=object)
+ array(['monetary', 'conditions'], dtype=object)]",['have' 'lately' 'been' 'selling'],['NP' 'PP' 'VP' 'SBAR'],2
+"`` Hostile and even friendly nations routinely steal information from U.S. companies and share it with their own companies , '' said Noel D. Matchett , a former staffer at the federal National Security Agency and now president of Information Security Inc. , Silver Spring , Md .","[array(['Hostile', 'and', 'even', 'friendly', 'nations'], dtype=object)
+ array(['routinely'], dtype=object) array(['steal'], dtype=object)
+ array(['information'], dtype=object) array(['from'], dtype=object)
+ array(['U.S.', 'companies'], dtype=object) array(['share'], dtype=object)
+ array(['it'], dtype=object) array(['with'], dtype=object)
+ array(['their', 'own', 'companies'], dtype=object)
+ array(['said'], dtype=object)
+ array(['Noel', 'D.', 'Matchett'], dtype=object)
+ array(['a', 'former', 'staffer'], dtype=object)
+ array(['at'], dtype=object)
+ array(['the', 'federal', 'National', 'Security', 'Agency'], dtype=object)
+ array(['now'], dtype=object) array(['president'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Information', 'Security', 'Inc.'], dtype=object)
+ array(['Silver', 'Spring'], dtype=object) array(['Md'], dtype=object)]",['now'],['PP' 'SBAR' 'ADVP' 'NP'],2
+Stop orders are sometimes called `` stop-loss '' orders because they are frequently used to protect profits or limit losses .,"[array(['Stop', 'orders'], dtype=object)
+ array(['are', 'sometimes', 'called'], dtype=object)
+ array(['``', 'stop-loss', ""''"", 'orders'], dtype=object)
+ array(['because'], dtype=object) array(['they'], dtype=object)
+ array(['are', 'frequently', 'used'], dtype=object)
+ array(['to', 'protect'], dtype=object) array(['profits'], dtype=object)
+ array(['limit'], dtype=object) array(['losses'], dtype=object)]",['are' 'sometimes' 'called'],['PRT' 'NP' 'VP' 'PP'],2
+Last week the stock hit an all-time high of 37 1\/4 before getting roughed up in the Friday-the-13th minicrash .,"[array(['Last', 'week'], dtype=object)
+ array(['the', 'stock'], dtype=object) array(['hit'], dtype=object)
+ array(['an', 'all-time', 'high'], dtype=object)
+ array(['of'], dtype=object) array(['37', '1\\/4'], dtype=object)
+ array(['before'], dtype=object)
+ array(['getting', 'roughed'], dtype=object) array(['up'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'Friday-the-13th', 'minicrash'], dtype=object)]",['up'],['PP' 'VP' 'PRT' 'NP'],2
+"Robert M. Glorioso , Digital 's vice president for high performance systems , says Digital 's mainframe is designed not as a central computer around which everything revolves , but as part of a decentralized network weaving together hundreds of workstations , personal computers , printers and other devices .","[array(['Robert', 'M.', 'Glorioso'], dtype=object)
+ array(['Digital'], dtype=object)
+ array([""'s"", 'vice', 'president'], dtype=object)
+ array(['for'], dtype=object)
+ array(['high', 'performance', 'systems'], dtype=object)
+ array(['says'], dtype=object) array(['Digital'], dtype=object)
+ array([""'s"", 'mainframe'], dtype=object)
+ array(['is', 'designed'], dtype=object) array(['as'], dtype=object)
+ array(['a', 'central', 'computer'], dtype=object)
+ array(['around'], dtype=object) array(['which'], dtype=object)
+ array(['everything'], dtype=object) array(['revolves'], dtype=object)
+ array([',', 'but'], dtype=object) array(['as'], dtype=object)
+ array(['part'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'decentralized', 'network'], dtype=object)
+ array(['weaving'], dtype=object) array(['together'], dtype=object)
+ array(['hundreds'], dtype=object) array(['of'], dtype=object)
+ array(['workstations'], dtype=object)
+ array(['personal', 'computers'], dtype=object)
+ array(['printers'], dtype=object)
+ array(['other', 'devices'], dtype=object)]",['for'],['NP' 'VP' 'PP' 'ADVP'],2
+A pilot representing a group of 220 pilots hired during United 's 1985 strike filed suit Friday in Chicago federal court to block the takeover .,"[array(['A', 'pilot'], dtype=object) array(['representing'], dtype=object)
+ array(['a', 'group'], dtype=object) array(['of'], dtype=object)
+ array(['220', 'pilots'], dtype=object) array(['hired'], dtype=object)
+ array(['during'], dtype=object) array(['United'], dtype=object)
+ array([""'s"", '1985', 'strike'], dtype=object)
+ array(['filed'], dtype=object) array(['suit'], dtype=object)
+ array(['Friday'], dtype=object) array(['in'], dtype=object)
+ array(['Chicago', 'federal', 'court'], dtype=object)
+ array(['to', 'block'], dtype=object)
+ array(['the', 'takeover'], dtype=object)]",['suit'],['PP' 'ADVP' 'NP' 'VP'],2
+"A lifelong revolutionary with little education who fought both the French and the U.S.-backed Saigon regime , she switched effortlessly to commerce after the war .","[array(['A', 'lifelong', 'revolutionary'], dtype=object)
+ array(['with'], dtype=object)
+ array(['little', 'education'], dtype=object) array(['who'], dtype=object)
+ array(['fought'], dtype=object) array(['both'], dtype=object)
+ array(['the', 'French'], dtype=object)
+ array(['the', 'U.S.-backed', 'Saigon', 'regime'], dtype=object)
+ array(['she'], dtype=object) array(['switched'], dtype=object)
+ array(['effortlessly'], dtype=object) array(['to'], dtype=object)
+ array(['commerce'], dtype=object) array(['after'], dtype=object)
+ array(['the', 'war'], dtype=object)]",['the' 'war'],['PP' 'VP' 'NP' 'ADVP'],2
+`` I wish they were around 24 hours a day . '',"[array(['I'], dtype=object) array(['wish'], dtype=object)
+ array(['they'], dtype=object) array(['were'], dtype=object)
+ array(['around'], dtype=object) array(['24', 'hours'], dtype=object)
+ array(['a', 'day'], dtype=object)]",['a' 'day'],['VP' 'PP' 'NP' 'ADVP'],2
+Individual Inc. 's technology goes beyond word searches by using a computerized thesaurus .,"[array(['Individual', 'Inc.'], dtype=object)
+ array([""'s"", 'technology'], dtype=object) array(['goes'], dtype=object)
+ array(['beyond'], dtype=object) array(['word', 'searches'], dtype=object)
+ array(['by'], dtype=object) array(['using'], dtype=object)
+ array(['a', 'computerized', 'thesaurus'], dtype=object)]",['beyond'],['NP' 'VP' 'PP' 'ADJP'],2
+"Although many experts are advising risk , no one has a good answer for you if the risk does n't pay off .","[array(['Although'], dtype=object)
+ array(['many', 'experts'], dtype=object)
+ array(['are', 'advising'], dtype=object) array(['risk'], dtype=object)
+ array(['no', 'one'], dtype=object) array(['has'], dtype=object)
+ array(['a', 'good', 'answer'], dtype=object) array(['for'], dtype=object)
+ array(['you'], dtype=object) array(['if'], dtype=object)
+ array(['the', 'risk'], dtype=object)
+ array(['does', ""n't"", 'pay'], dtype=object) array(['off'], dtype=object)]",['risk'],['ADJP' 'VP' 'NP' 'PP'],2
+"In Mexico , the analyst added , employees at the Cananea mine , who have been out of work since late August when the mine was declared bankrupt by the government , accepted a 35 % cut in the 3,800-man work force .","[array(['In'], dtype=object) array(['Mexico'], dtype=object)
+ array(['the', 'analyst'], dtype=object) array(['added'], dtype=object)
+ array(['employees'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'Cananea', 'mine'], dtype=object)
+ array(['who'], dtype=object) array(['have', 'been'], dtype=object)
+ array(['out'], dtype=object) array(['of'], dtype=object)
+ array(['work'], dtype=object) array(['since'], dtype=object)
+ array(['late', 'August'], dtype=object) array(['when'], dtype=object)
+ array(['the', 'mine'], dtype=object)
+ array(['was', 'declared'], dtype=object)
+ array(['bankrupt'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'government'], dtype=object)
+ array(['accepted'], dtype=object)
+ array(['a', '35', '%', 'cut'], dtype=object) array(['in'], dtype=object)
+ array(['the', '3,800-man', 'work', 'force'], dtype=object)]",['added'],['NP' 'ADJP' 'VP' 'PP'],2
+"I got home , let the dogs into the house and noticed some sounds above my head , as if someone were walking on the roof , or upstairs .","[array(['I'], dtype=object) array(['got'], dtype=object)
+ array(['home'], dtype=object) array(['let'], dtype=object)
+ array(['the', 'dogs'], dtype=object) array(['into'], dtype=object)
+ array(['the', 'house'], dtype=object) array(['noticed'], dtype=object)
+ array(['some', 'sounds'], dtype=object) array(['above'], dtype=object)
+ array(['my', 'head'], dtype=object) array(['as', 'if'], dtype=object)
+ array(['someone'], dtype=object) array(['were', 'walking'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'roof'], dtype=object)
+ array(['upstairs'], dtype=object)]",['noticed'],['ADVP' 'PP' 'VP' 'NP'],2
+"In the nine months , net fell 6.3 % to $ 427.7 million , or $ 3.98 a share , from $ 456.4 million , or $ 4 a share , a year earlier .","[array(['In'], dtype=object)
+ array(['the', 'nine', 'months'], dtype=object)
+ array(['net'], dtype=object) array(['fell'], dtype=object)
+ array(['6.3', '%'], dtype=object) array(['to'], dtype=object)
+ array(['$', '427.7', 'million'], dtype=object)
+ array(['$', '3.98'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '456.4', 'million'], dtype=object)
+ array(['$', '4'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['earlier'], dtype=object)]",['a' 'year'],['SBAR' 'ADJP' 'NP' 'PP'],2
+"So the men who ran the grain pits listened when Joseph Sullivan , a 35-year-old former Wall Street Journal newsman , offered them the idea of all-options trading .","[array(['the', 'men'], dtype=object) array(['who'], dtype=object)
+ array(['ran'], dtype=object)
+ array(['the', 'grain', 'pits'], dtype=object)
+ array(['listened'], dtype=object) array(['when'], dtype=object)
+ array(['Joseph', 'Sullivan'], dtype=object)
+ array(['a', '35-year-old', 'former', 'Wall', 'Street', 'Journal',
+        'newsman'], dtype=object)
+ array(['offered'], dtype=object) array(['them'], dtype=object)
+ array(['the', 'idea'], dtype=object) array(['of'], dtype=object)
+ array(['all-options', 'trading'], dtype=object)]",['a' '35-year-old' 'former' 'Wall' 'Street' 'Journal' 'newsman'],['VP' 'PP' 'NP' 'ADJP'],2
+"Sales for the company , based in Abbott Park , Ill. , rose 8.3 % to $ 1.31 billion from $ 1.21 billion .","[array(['Sales'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'company'], dtype=object) array(['based'], dtype=object)
+ array(['in'], dtype=object) array(['Abbott', 'Park'], dtype=object)
+ array(['Ill.'], dtype=object) array(['rose'], dtype=object)
+ array(['8.3', '%'], dtype=object) array(['to'], dtype=object)
+ array(['$', '1.31', 'billion'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '1.21', 'billion'], dtype=object)]",['for'],['ADVP' 'VP' 'PP' 'NP'],2
+"Sales growth in the quarter was slowed by mounting pressure from groups of buyers , such as hospitals , to hold down prices .","[array(['Sales', 'growth'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'quarter'], dtype=object)
+ array(['was', 'slowed'], dtype=object) array(['by'], dtype=object)
+ array(['mounting', 'pressure'], dtype=object)
+ array(['from'], dtype=object) array(['groups'], dtype=object)
+ array(['of'], dtype=object) array(['buyers'], dtype=object)
+ array(['such', 'as'], dtype=object) array(['hospitals'], dtype=object)
+ array(['to', 'hold'], dtype=object) array(['down'], dtype=object)
+ array(['prices'], dtype=object)]",['prices'],['PP' 'VP' 'NP' 'ADVP'],2
+"The Sandinistas of Nicaragua , for example , also are part of the Castro-Medellin cartel nexus .","[array(['The', 'Sandinistas'], dtype=object) array(['of'], dtype=object)
+ array(['Nicaragua'], dtype=object) array(['for'], dtype=object)
+ array(['example'], dtype=object) array(['also'], dtype=object)
+ array(['are'], dtype=object) array(['part'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'Castro-Medellin', 'cartel', 'nexus'], dtype=object)]",['are'],['SBAR' 'NP' 'VP' 'PP'],2
+"Switzerland 's wholesale price index increased 0.3 % in September from August , and was up 3.9 % from a year ago , marking the first time this year that the index has fallen below 4 % on a year-to-year basis , the government reported .","[array(['Switzerland'], dtype=object)
+ array([""'s"", 'wholesale', 'price', 'index'], dtype=object)
+ array(['increased'], dtype=object) array(['0.3', '%'], dtype=object)
+ array(['in'], dtype=object) array(['September'], dtype=object)
+ array(['from'], dtype=object) array(['August'], dtype=object)
+ array(['was'], dtype=object) array(['up'], dtype=object)
+ array(['3.9', '%'], dtype=object) array(['from'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['ago'], dtype=object)
+ array(['marking'], dtype=object)
+ array(['the', 'first', 'time'], dtype=object)
+ array(['this', 'year'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'index'], dtype=object)
+ array(['has', 'fallen'], dtype=object) array(['below'], dtype=object)
+ array(['4', '%'], dtype=object) array(['on'], dtype=object)
+ array(['a', 'year-to-year', 'basis'], dtype=object)
+ array(['the', 'government'], dtype=object)
+ array(['reported'], dtype=object)]",['reported'],['PP' 'NP' 'VP' 'ADVP'],2
+Trading had been impeded by a major computer failure that took place before the start of Monday 's session .,"[array(['Trading'], dtype=object)
+ array(['had', 'been', 'impeded'], dtype=object)
+ array(['by'], dtype=object)
+ array(['a', 'major', 'computer', 'failure'], dtype=object)
+ array(['that'], dtype=object) array(['took'], dtype=object)
+ array(['place'], dtype=object) array(['before'], dtype=object)
+ array(['the', 'start'], dtype=object) array(['of'], dtype=object)
+ array(['Monday'], dtype=object) array([""'s"", 'session'], dtype=object)]",['a' 'major' 'computer' 'failure'],['VP' 'PP' 'NP' 'ADVP'],2
+"Tokyo 's Nikkei index of 225 issues , which gained 111.48 points Wednesday , climbed 266.66 , or 0.76 % , to 35374.22 .","[array(['Tokyo'], dtype=object)
+ array([""'s"", 'Nikkei', 'index'], dtype=object)
+ array(['of'], dtype=object) array(['225', 'issues'], dtype=object)
+ array(['which'], dtype=object) array(['gained'], dtype=object)
+ array(['111.48', 'points'], dtype=object)
+ array(['Wednesday'], dtype=object) array(['climbed'], dtype=object)
+ array(['266.66'], dtype=object) array(['0.76', '%'], dtype=object)
+ array(['to'], dtype=object) array(['35374.22'], dtype=object)]",['which'],['PP' 'VP' 'NP' 'ADVP'],2
+The agency said Polish Prime Minister Tadeusz Mazowiecki told Iranian Deputy Foreign Minister Mahmoud Vaezi of Poland 's willingess to purchase the gas during Mr. Vaezi 's current visit to Warsaw .,"[array(['The', 'agency'], dtype=object) array(['said'], dtype=object)
+ array(['Polish', 'Prime', 'Minister', 'Tadeusz', 'Mazowiecki'],
+       dtype=object)
+ array(['told'], dtype=object)
+ array(['Iranian', 'Deputy', 'Foreign', 'Minister', 'Mahmoud', 'Vaezi'],
+       dtype=object)
+ array(['of'], dtype=object) array(['Poland'], dtype=object)
+ array([""'s"", 'willingess'], dtype=object)
+ array(['to', 'purchase'], dtype=object)
+ array(['the', 'gas'], dtype=object) array(['during'], dtype=object)
+ array(['Mr.', 'Vaezi'], dtype=object)
+ array([""'s"", 'current', 'visit'], dtype=object)
+ array(['to'], dtype=object) array(['Warsaw'], dtype=object)]",['said'],['NP' 'SBAR' 'VP' 'CONJP'],2
+"Revenue rose 25 % , to $ 877.6 million , from $ 702.4 million .","[array(['Revenue'], dtype=object) array(['rose'], dtype=object)
+ array(['25', '%'], dtype=object) array(['to'], dtype=object)
+ array(['$', '877.6', 'million'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '702.4', 'million'], dtype=object)]",['$' '877.6' 'million'],['PP' 'VP' 'NP' 'ADVP'],2
+Bush met in Washington with Spain 's Prime Minister Gonzalez and discussed what the president called `` the unique role '' that Madrid can play in furthering democracy in Eastern Europe and Latin America .,"[array(['Bush'], dtype=object) array(['met'], dtype=object)
+ array(['in'], dtype=object) array(['Washington'], dtype=object)
+ array(['with'], dtype=object) array(['Spain'], dtype=object)
+ array([""'s"", 'Prime', 'Minister', 'Gonzalez'], dtype=object)
+ array(['discussed'], dtype=object) array(['what'], dtype=object)
+ array(['the', 'president'], dtype=object) array(['called'], dtype=object)
+ array(['the', 'unique', 'role'], dtype=object)
+ array(['that'], dtype=object) array(['Madrid'], dtype=object)
+ array(['can', 'play'], dtype=object) array(['in'], dtype=object)
+ array(['furthering'], dtype=object) array(['democracy'], dtype=object)
+ array(['in'], dtype=object) array(['Eastern', 'Europe'], dtype=object)
+ array(['Latin', 'America'], dtype=object)]",['Eastern' 'Europe'],['VP' 'SBAR' 'NP' 'PP'],2
+"Subsequently , however , the ill effects are likely to be offset , at least in economic terms , as construction activity begins .","[array(['Subsequently'], dtype=object) array(['however'], dtype=object)
+ array(['the', 'ill', 'effects'], dtype=object)
+ array(['are'], dtype=object) array(['likely'], dtype=object)
+ array(['to', 'be', 'offset'], dtype=object)
+ array(['at', 'least'], dtype=object) array(['in'], dtype=object)
+ array(['economic', 'terms'], dtype=object) array(['as'], dtype=object)
+ array(['construction', 'activity'], dtype=object)
+ array(['begins'], dtype=object)]",['in'],['NP' 'ADVP' 'PP' 'VP'],2
+"Then it had a series of smaller glitches , including problems manufacturing certain personal computers and the delay in the announcement of some important workstations .","[array(['it'], dtype=object) array(['had'], dtype=object)
+ array(['a', 'series'], dtype=object) array(['of'], dtype=object)
+ array(['smaller', 'glitches'], dtype=object)
+ array(['including'], dtype=object) array(['problems'], dtype=object)
+ array(['manufacturing'], dtype=object)
+ array(['certain', 'personal', 'computers'], dtype=object)
+ array(['the', 'delay'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'announcement'], dtype=object) array(['of'], dtype=object)
+ array(['some', 'important', 'workstations'], dtype=object)]",['the' 'delay'],['ADVP' 'PP' 'SBAR' 'NP'],3
+"For example , if a company posted a loss of $ 100 million from buy-out interest payments , the existing rule would allow the concern to be able to receive a refund from the tax it paid from 1986 through 1989 , when it may have been a profitable public company .","[array(['For'], dtype=object) array(['example'], dtype=object)
+ array(['if'], dtype=object) array(['a', 'company'], dtype=object)
+ array(['posted'], dtype=object) array(['a', 'loss'], dtype=object)
+ array(['of'], dtype=object) array(['$', '100', 'million'], dtype=object)
+ array(['from'], dtype=object)
+ array(['buy-out', 'interest', 'payments'], dtype=object)
+ array(['the', 'existing', 'rule'], dtype=object)
+ array(['would', 'allow'], dtype=object)
+ array(['the', 'concern'], dtype=object) array(['to', 'be'], dtype=object)
+ array(['able'], dtype=object) array(['to', 'receive'], dtype=object)
+ array(['a', 'refund'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'tax'], dtype=object) array(['it'], dtype=object)
+ array(['paid'], dtype=object) array(['from'], dtype=object)
+ array(['1986'], dtype=object) array(['through'], dtype=object)
+ array(['1989'], dtype=object) array(['when'], dtype=object)
+ array(['it'], dtype=object) array(['may', 'have', 'been'], dtype=object)
+ array(['a', 'profitable', 'public', 'company'], dtype=object)]",['would' 'allow'],['SBAR' 'NP' 'PP' 'VP'],3
+"And , they warn , any further drop in the government 's popularity could swiftly make this promise sound hollow .","[array(['they'], dtype=object) array(['warn'], dtype=object)
+ array(['any', 'further', 'drop'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'government'], dtype=object)
+ array([""'s"", 'popularity'], dtype=object)
+ array(['could', 'swiftly', 'make'], dtype=object)
+ array(['this', 'promise'], dtype=object) array(['sound'], dtype=object)
+ array(['hollow'], dtype=object)]",['warn'],['ADVP' 'SBAR' 'NP' 'VP'],3
+"While he did n't comment directly on the pact between Ciba-Geigy and the university , he said Merieux can transfer new products and technologies to Connaught more rapidly than other companies `` not currently producing and marketing vaccines -LCB- who -RCB- can only promise this for some ... years in the future . ''","[array(['While'], dtype=object) array(['he'], dtype=object)
+ array(['did', ""n't"", 'comment'], dtype=object)
+ array(['directly'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'pact'], dtype=object) array(['between'], dtype=object)
+ array(['Ciba-Geigy'], dtype=object)
+ array(['the', 'university'], dtype=object) array(['he'], dtype=object)
+ array(['said'], dtype=object) array(['Merieux'], dtype=object)
+ array(['can', 'transfer'], dtype=object)
+ array(['new', 'products', 'and', 'technologies'], dtype=object)
+ array(['to'], dtype=object) array(['Connaught'], dtype=object)
+ array(['more', 'rapidly'], dtype=object) array(['than'], dtype=object)
+ array(['other', 'companies'], dtype=object)
+ array(['not', 'currently', 'producing', 'and', 'marketing'], dtype=object)
+ array(['vaccines'], dtype=object) array(['who'], dtype=object)
+ array(['can', 'only', 'promise'], dtype=object)
+ array(['this'], dtype=object) array(['for'], dtype=object)
+ array(['some', '...', 'years'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'future'], dtype=object)]",['vaccines'],['VP' 'ADJP' 'PP' 'NP'],3
+Trading had been impeded by a major computer failure that took place before the start of Monday 's session .,"[array(['Trading'], dtype=object)
+ array(['had', 'been', 'impeded'], dtype=object)
+ array(['by'], dtype=object)
+ array(['a', 'major', 'computer', 'failure'], dtype=object)
+ array(['that'], dtype=object) array(['took'], dtype=object)
+ array(['place'], dtype=object) array(['before'], dtype=object)
+ array(['the', 'start'], dtype=object) array(['of'], dtype=object)
+ array(['Monday'], dtype=object) array([""'s"", 'session'], dtype=object)]",['had' 'been' 'impeded'],['SBAR' 'ADJP' 'NP' 'VP'],3
+"We can applaud Mr. Pryor 's moment of epiphany , even as we understand that he and his confreres need restraint lest they kill again .","[array(['We'], dtype=object) array(['can', 'applaud'], dtype=object)
+ array(['Mr.', 'Pryor'], dtype=object)
+ array([""'s"", 'moment'], dtype=object) array(['of'], dtype=object)
+ array(['epiphany'], dtype=object) array(['even', 'as'], dtype=object)
+ array(['we'], dtype=object) array(['understand'], dtype=object)
+ array(['that'], dtype=object) array(['he'], dtype=object)
+ array(['his', 'confreres'], dtype=object) array(['need'], dtype=object)
+ array(['restraint'], dtype=object) array(['lest'], dtype=object)
+ array(['they'], dtype=object) array(['kill'], dtype=object)
+ array(['again'], dtype=object)]",['we'],['ADVP' 'VP' 'PP' 'NP'],3
+"About two-thirds of the Well 's 3,000 subscribers live in the Bay Area .","[array(['About', 'two-thirds'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Well'], dtype=object)
+ array([""'s"", '3,000', 'subscribers'], dtype=object)
+ array(['live'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'Bay', 'Area'], dtype=object)]","[""'s"" '3,000' 'subscribers']",['PP' 'ADVP' 'VP' 'NP'],3
+"Already the firm has paid $ 211,666 of the fine , the suit said , and it will have to liquidate additional assets in order to pay the rest .","[array(['Already'], dtype=object) array(['the', 'firm'], dtype=object)
+ array(['has', 'paid'], dtype=object)
+ array(['$', '211,666'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'fine'], dtype=object) array(['the', 'suit'], dtype=object)
+ array(['said'], dtype=object) array(['it'], dtype=object)
+ array(['will', 'have', 'to', 'liquidate'], dtype=object)
+ array(['additional', 'assets'], dtype=object) array(['in'], dtype=object)
+ array(['to', 'pay'], dtype=object) array(['the', 'rest'], dtype=object)]",['the' 'rest'],['VP' 'PP' 'SBAR' 'NP'],3
+Hoechst AG said it will stop producing fertilizer in 1990 because of continued losses and a bleak outlook .,"[array(['Hoechst', 'AG'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object)
+ array(['will', 'stop', 'producing'], dtype=object)
+ array(['fertilizer'], dtype=object) array(['in'], dtype=object)
+ array(['1990'], dtype=object) array(['because', 'of'], dtype=object)
+ array(['continued', 'losses'], dtype=object)
+ array(['a', 'bleak', 'outlook'], dtype=object)]",['said'],['NP' 'PP' 'ADVP' 'VP'],3
+"Pinpoint Information Corp. , Chantilly , Va. , a producer of $ 1,800-a-year personalized newsletters about the computer industry that started full operation last month , relies on 12 human readers to code news releases by topic in order to select items for each subscriber .","[array(['Pinpoint', 'Information', 'Corp.'], dtype=object)
+ array(['Chantilly'], dtype=object) array(['Va.'], dtype=object)
+ array(['a', 'producer'], dtype=object) array(['of'], dtype=object)
+ array(['$', '1,800-a-year', 'personalized', 'newsletters'], dtype=object)
+ array(['about'], dtype=object)
+ array(['the', 'computer', 'industry'], dtype=object)
+ array(['that'], dtype=object) array(['started'], dtype=object)
+ array(['full', 'operation'], dtype=object)
+ array(['last', 'month'], dtype=object) array(['relies'], dtype=object)
+ array(['on'], dtype=object)
+ array(['12', 'human', 'readers'], dtype=object)
+ array(['to', 'code'], dtype=object)
+ array(['news', 'releases'], dtype=object) array(['by'], dtype=object)
+ array(['topic'], dtype=object) array(['in'], dtype=object)
+ array(['to', 'select'], dtype=object) array(['items'], dtype=object)
+ array(['for'], dtype=object) array(['each', 'subscriber'], dtype=object)]",['items'],['ADJP' 'PP' 'VP' 'NP'],3
+"As a result , prices paid to farmers for the commodities , which are used in products as diverse as bubble gum and chicken feed , plummet 20 % to 33 % .","[array(['As'], dtype=object) array(['a', 'result'], dtype=object)
+ array(['prices'], dtype=object) array(['paid'], dtype=object)
+ array(['to'], dtype=object) array(['farmers'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'commodities'], dtype=object)
+ array(['which'], dtype=object) array(['are', 'used'], dtype=object)
+ array(['in'], dtype=object) array(['products'], dtype=object)
+ array(['as', 'diverse'], dtype=object) array(['as'], dtype=object)
+ array(['bubble', 'gum'], dtype=object)
+ array(['chicken', 'feed'], dtype=object) array(['plummet'], dtype=object)
+ array(['20', '%'], dtype=object) array(['33', '%'], dtype=object)]",['a' 'result'],['VP' 'PP' 'PRT' 'NP'],3
+"The effete Tyrannosaurus Rex Had strict Cretaceous views on sex , And that is why you only see him Reproduced in the museum .","[array(['The', 'effete', 'Tyrannosaurus', 'Rex'], dtype=object)
+ array(['Had'], dtype=object)
+ array(['strict', 'Cretaceous', 'views'], dtype=object)
+ array(['on'], dtype=object) array(['sex'], dtype=object)
+ array(['that'], dtype=object) array(['is'], dtype=object)
+ array(['why'], dtype=object) array(['you'], dtype=object)
+ array(['only'], dtype=object) array(['see'], dtype=object)
+ array(['him'], dtype=object) array(['Reproduced'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'museum'], dtype=object)]",['you'],['PP' 'ADVP' 'VP' 'NP'],3
+"There were no complaints from affiliates of CBS Inc. and Cable News Network , a unit of Turner Broadcasting System Inc .","[array(['There'], dtype=object) array(['were'], dtype=object)
+ array(['no', 'complaints'], dtype=object) array(['from'], dtype=object)
+ array(['affiliates'], dtype=object) array(['of'], dtype=object)
+ array(['CBS', 'Inc.'], dtype=object)
+ array(['Cable', 'News', 'Network'], dtype=object)
+ array(['a', 'unit'], dtype=object) array(['of'], dtype=object)
+ array(['Turner', 'Broadcasting', 'System', 'Inc'], dtype=object)]",['There'],['PP' 'ADVP' 'VP' 'NP'],3
+"In it , traders buy or sell stocks and offset those positions in stock-index futures contracts to profit from fleeting price discrepancies .","[array(['In'], dtype=object) array(['it'], dtype=object)
+ array(['traders'], dtype=object)
+ array(['buy', 'or', 'sell'], dtype=object)
+ array(['stocks'], dtype=object) array(['offset'], dtype=object)
+ array(['those', 'positions'], dtype=object) array(['in'], dtype=object)
+ array(['stock-index', 'futures', 'contracts'], dtype=object)
+ array(['to', 'profit'], dtype=object) array(['from'], dtype=object)
+ array(['fleeting', 'price', 'discrepancies'], dtype=object)]",['to' 'profit'],['ADVP' 'NP' 'PP' 'VP'],3
+"For the most part , major corporations ' headquarters and plants were unaffected or only slightly damaged by Tuesday 's earthquake , which registered 6.9 on the Richter scale .","[array(['For'], dtype=object) array(['the', 'most', 'part'], dtype=object)
+ array(['major', 'corporations'], dtype=object)
+ array([""'"", 'headquarters', 'and', 'plants'], dtype=object)
+ array(['were'], dtype=object) array(['unaffected'], dtype=object)
+ array(['only', 'slightly', 'damaged'], dtype=object)
+ array(['by'], dtype=object) array(['Tuesday'], dtype=object)
+ array([""'s"", 'earthquake'], dtype=object) array(['which'], dtype=object)
+ array(['registered'], dtype=object) array(['6.9'], dtype=object)
+ array(['on'], dtype=object)
+ array(['the', 'Richter', 'scale'], dtype=object)]",['major' 'corporations'],['VP' 'ADJP' 'PP' 'NP'],3
+"The British firm has begun court proceedings in London to prevent the use of the name `` Deloitte '' by Deloitte , Haskins & Sells and Touche Ross & Co. in England and the rest of the world .","[array(['The', 'British', 'firm'], dtype=object)
+ array(['has', 'begun'], dtype=object)
+ array(['court', 'proceedings'], dtype=object) array(['in'], dtype=object)
+ array(['London'], dtype=object) array(['to', 'prevent'], dtype=object)
+ array(['the', 'use'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'name', '``', 'Deloitte'], dtype=object)
+ array(['by'], dtype=object)
+ array(['Deloitte', ',', 'Haskins', '&', 'Sells'], dtype=object)
+ array(['Touche', 'Ross', '&', 'Co.'], dtype=object)
+ array(['in'], dtype=object) array(['England'], dtype=object)
+ array(['the', 'rest'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'world'], dtype=object)]",['court' 'proceedings'],['PP' 'PRT' 'VP' 'NP'],3
+And one White House official reported that Mr. Agnos had been `` very helpful '' in making arrangements for Mr. Bush 's hastily scheduled trip to California .,"[array(['one', 'White', 'House', 'official'], dtype=object)
+ array(['reported'], dtype=object) array(['that'], dtype=object)
+ array(['Mr.', 'Agnos'], dtype=object)
+ array(['had', 'been'], dtype=object)
+ array(['very', 'helpful'], dtype=object) array(['in'], dtype=object)
+ array(['making'], dtype=object) array(['arrangements'], dtype=object)
+ array(['for'], dtype=object) array(['Mr.', 'Bush'], dtype=object)
+ array([""'s""], dtype=object) array(['hastily', 'scheduled'], dtype=object)
+ array(['trip'], dtype=object) array(['to'], dtype=object)
+ array(['California'], dtype=object)]",['had' 'been'],['NP' 'PP' 'LST' 'VP'],3
+"In addition : -- Soo Line jumped 2 3\/4 to 20 1\/4 , above the $ 19.50 a share that Canadian Pacific offered for the company in a takeover proposal .","[array(['In'], dtype=object) array(['addition'], dtype=object)
+ array(['Soo', 'Line'], dtype=object) array(['jumped'], dtype=object)
+ array(['2', '3\\/4'], dtype=object) array(['to'], dtype=object)
+ array(['20', '1\\/4'], dtype=object) array(['above'], dtype=object)
+ array(['the', '$', '19.50'], dtype=object)
+ array(['a', 'share'], dtype=object) array(['that'], dtype=object)
+ array(['Canadian', 'Pacific'], dtype=object)
+ array(['offered'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'company'], dtype=object) array(['in'], dtype=object)
+ array(['a', 'takeover', 'proposal'], dtype=object)]",['in'],['VP' 'NP' 'ADVP' 'PP'],3
+That 's Chandler 's setup .,"[array(['That'], dtype=object) array([""'s""], dtype=object)
+ array(['Chandler'], dtype=object) array([""'s"", 'setup'], dtype=object)]",['Chandler'],['VP' 'ADJP' 'PP' 'NP'],3
+"The poverty rate of children under 18 years old dropped last year to 19.7 % from 20.5 % in 1987 , but remained far higher than a decade ago .","[array(['The', 'poverty', 'rate'], dtype=object)
+ array(['of'], dtype=object) array(['children'], dtype=object)
+ array(['under', '18', 'years'], dtype=object)
+ array(['old'], dtype=object) array(['dropped'], dtype=object)
+ array(['last', 'year'], dtype=object) array(['to'], dtype=object)
+ array(['19.7', '%'], dtype=object) array(['from'], dtype=object)
+ array(['20.5', '%'], dtype=object) array(['in'], dtype=object)
+ array(['1987'], dtype=object) array(['remained'], dtype=object)
+ array(['far', 'higher'], dtype=object) array(['than'], dtype=object)
+ array(['a', 'decade'], dtype=object) array(['ago'], dtype=object)]",['The' 'poverty' 'rate'],['PP' 'ADVP' 'VP' 'NP'],3
+"But if the investment ca n't be bought or sold immediately , the order is automatically canceled .","[array(['if'], dtype=object) array(['the', 'investment'], dtype=object)
+ array(['ca', ""n't"", 'be', 'bought', 'or', 'sold'], dtype=object)
+ array(['immediately'], dtype=object)
+ array(['the', 'order'], dtype=object)
+ array(['is', 'automatically', 'canceled'], dtype=object)]",['is' 'automatically' 'canceled'],['PP' 'ADVP' 'NP' 'VP'],3
+"The uncertainty was multiplied by the persistent strength of the dollar , traders said , and by the U.S. trade deficit , which widened by 31 % in August from the previous month .","[array(['The', 'uncertainty'], dtype=object)
+ array(['was', 'multiplied'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'persistent', 'strength'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'dollar'], dtype=object)
+ array(['traders'], dtype=object) array(['said'], dtype=object)
+ array(['and'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'U.S.', 'trade', 'deficit'], dtype=object)
+ array(['which'], dtype=object) array(['widened'], dtype=object)
+ array(['by'], dtype=object) array(['31', '%'], dtype=object)
+ array(['in'], dtype=object) array(['August'], dtype=object)
+ array(['from'], dtype=object)
+ array(['the', 'previous', 'month'], dtype=object)]",['which'],['PP' 'ADJP' 'VP' 'NP'],3
+"In American Stock Exchange composite trading , Bank Building closed at $ 4 a share , down 62.5 cents .","[array(['In'], dtype=object)
+ array(['American', 'Stock', 'Exchange', 'composite', 'trading'],
+       dtype=object)
+ array(['Bank', 'Building'], dtype=object) array(['closed'], dtype=object)
+ array(['at'], dtype=object) array(['$', '4'], dtype=object)
+ array(['a', 'share'], dtype=object) array(['down'], dtype=object)
+ array(['62.5', 'cents'], dtype=object)]",['In'],['NP' 'VP' 'ADVP' 'PP'],3
+"American Medical has agreed to the offer , but earlier this month said it had received new `` expressions of interest '' from two previous bidders .","[array(['American', 'Medical'], dtype=object)
+ array(['has', 'agreed'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'offer'], dtype=object)
+ array(['earlier', 'this', 'month'], dtype=object)
+ array(['said'], dtype=object) array(['it'], dtype=object)
+ array(['had', 'received'], dtype=object)
+ array(['new', '``', 'expressions'], dtype=object)
+ array(['of'], dtype=object) array(['interest'], dtype=object)
+ array(['from'], dtype=object)
+ array(['two', 'previous', 'bidders'], dtype=object)]",['American' 'Medical'],['PP' 'SBAR' 'VP' 'NP'],3
+"Philips Industries Inc. said its board authorized the redemption Dec. 6 of the company 's $ 1 cumulative convertible special preferred stock at $ 37.50 a share , not including a 25 cent dividend for the current quarter , and the $ 3 cumulative convertible preferred stock at $ 75 , plus a 75 cent dividend for the current quarter .","[array(['Philips', 'Industries', 'Inc.'], dtype=object)
+ array(['said'], dtype=object) array(['its', 'board'], dtype=object)
+ array(['authorized'], dtype=object)
+ array(['the', 'redemption'], dtype=object)
+ array(['Dec.', '6'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'company'], dtype=object) array([""'s""], dtype=object)
+ array(['$'], dtype=object)
+ array(['cumulative', 'convertible', 'special', 'preferred', 'stock'],
+       dtype=object)
+ array(['at'], dtype=object) array(['$', '37.50'], dtype=object)
+ array(['a', 'share'], dtype=object)
+ array(['not', 'including'], dtype=object)
+ array(['a', '25', 'cent', 'dividend'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'current', 'quarter'], dtype=object)
+ array(['the', '$', '3', 'cumulative', 'convertible', 'preferred', 'stock'],
+       dtype=object)
+ array(['at'], dtype=object) array(['$', '75'], dtype=object)
+ array(['plus'], dtype=object)
+ array(['a', '75', 'cent', 'dividend'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'current', 'quarter'], dtype=object)]",['$' '75'],['VP' 'PP' 'SBAR' 'NP'],3
+"Until recently , the huge fast-food industry , with sales of about $ 60.1 billion last year , kept price-skirmishing to a minimum .","[array(['Until'], dtype=object) array(['recently'], dtype=object)
+ array(['the', 'huge', 'fast-food', 'industry'], dtype=object)
+ array(['with'], dtype=object) array(['sales'], dtype=object)
+ array(['of'], dtype=object)
+ array(['about', '$', '60.1', 'billion'], dtype=object)
+ array(['last', 'year'], dtype=object) array(['kept'], dtype=object)
+ array(['price-skirmishing'], dtype=object) array(['to'], dtype=object)
+ array(['a', 'minimum'], dtype=object)]",['about' '$' '60.1' 'billion'],['PRT' 'ADVP' 'VP' 'NP'],3
+Two new Remics totaling $ 900 million were announced by Freddie Mac yesterday .,"[array(['Two', 'new', 'Remics'], dtype=object)
+ array(['totaling'], dtype=object)
+ array(['$', '900', 'million'], dtype=object)
+ array(['were', 'announced'], dtype=object) array(['by'], dtype=object)
+ array(['Freddie', 'Mac'], dtype=object)
+ array(['yesterday'], dtype=object)]",['were' 'announced'],['NP' 'ADJP' 'PP' 'VP'],3
+"But Pemex 's courtship with private companies , and especially foreign ones , is controversial in a country where oil has been a symbol of national sovereignty since foreign oil holdings were nationalized in 1938 .","[array(['Pemex'], dtype=object) array([""'s"", 'courtship'], dtype=object)
+ array(['with'], dtype=object)
+ array(['private', 'companies'], dtype=object)
+ array(['especially'], dtype=object)
+ array(['foreign', 'ones'], dtype=object) array(['is'], dtype=object)
+ array(['controversial'], dtype=object) array(['in'], dtype=object)
+ array(['a', 'country'], dtype=object) array(['where'], dtype=object)
+ array(['oil'], dtype=object) array(['has', 'been'], dtype=object)
+ array(['a', 'symbol'], dtype=object) array(['of'], dtype=object)
+ array(['national', 'sovereignty'], dtype=object)
+ array(['since'], dtype=object)
+ array(['foreign', 'oil', 'holdings'], dtype=object)
+ array(['were', 'nationalized'], dtype=object) array(['in'], dtype=object)
+ array(['1938'], dtype=object)]",['is'],['NP' 'ADVP' 'PP' 'VP'],3
+"J. Thomas Allen , president of Pittsburgh-based Advanced Investment Management Inc. , agrees it 's a good idea to jump between the S&P 500 stocks and futures .","[array(['J.', 'Thomas', 'Allen'], dtype=object)
+ array(['president'], dtype=object) array(['of'], dtype=object)
+ array(['Pittsburgh-based', 'Advanced', 'Investment', 'Management', 'Inc.'],
+       dtype=object)
+ array(['agrees'], dtype=object) array(['it'], dtype=object)
+ array([""'s""], dtype=object) array(['a', 'good', 'idea'], dtype=object)
+ array(['to', 'jump'], dtype=object) array(['between'], dtype=object)
+ array(['the', 'S&P', '500', 'stocks', 'and', 'futures'], dtype=object)]",['J.' 'Thomas' 'Allen'],['PP' 'VP' 'SBAR' 'NP'],3
+"Reversing an eight-year federal policy , the measure supports Medicaid abortions in cases of rape and incest , but Mr. Bush has so far refused to support any specific exemption beyond instances in which the mother 's life is in danger .","[array(['Reversing'], dtype=object)
+ array(['an', 'eight-year', 'federal', 'policy'], dtype=object)
+ array(['the', 'measure'], dtype=object) array(['supports'], dtype=object)
+ array(['Medicaid', 'abortions'], dtype=object)
+ array(['in'], dtype=object) array(['cases'], dtype=object)
+ array(['of'], dtype=object)
+ array(['rape', 'and', 'incest'], dtype=object)
+ array(['Mr.', 'Bush'], dtype=object)
+ array(['has', 'so', 'far', 'refused', 'to', 'support'], dtype=object)
+ array(['any', 'specific', 'exemption'], dtype=object)
+ array(['beyond'], dtype=object) array(['instances'], dtype=object)
+ array(['in'], dtype=object) array(['which'], dtype=object)
+ array(['the', 'mother'], dtype=object)
+ array([""'s"", 'life'], dtype=object) array(['is'], dtype=object)
+ array(['in'], dtype=object) array(['danger'], dtype=object)]",['has' 'so' 'far' 'refused' 'to' 'support'],['ADVP' 'PP' 'NP' 'VP'],3
+And most of the truly big scams in Orange County seem to originate in Newport Beach or one of the other well-heeled communities that surround this sliver-like city that hooks around a point of land on the California coast south of Los Angeles .,"[array(['most'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'truly', 'big', 'scams'], dtype=object)
+ array(['in'], dtype=object) array(['Orange', 'County'], dtype=object)
+ array(['seem', 'to', 'originate'], dtype=object)
+ array(['in'], dtype=object) array(['Newport', 'Beach'], dtype=object)
+ array(['one'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'other', 'well-heeled', 'communities'], dtype=object)
+ array(['that'], dtype=object) array(['surround'], dtype=object)
+ array(['this', 'sliver-like', 'city'], dtype=object)
+ array(['that'], dtype=object) array(['hooks'], dtype=object)
+ array(['around'], dtype=object) array(['a', 'point'], dtype=object)
+ array(['of'], dtype=object) array(['land'], dtype=object)
+ array(['on'], dtype=object)
+ array(['the', 'California', 'coast'], dtype=object)
+ array(['south'], dtype=object) array(['of'], dtype=object)
+ array(['Los', 'Angeles'], dtype=object)]",['the' 'other' 'well-heeled' 'communities'],['PP' 'ADVP' 'VP' 'NP'],3
+"It may be straightforward -- he wants money for food -- or incredibly convoluted ; his sister is at this very moment near death in Hoboken , he has lost his wallet and has only $ 1.22 in change to put toward a bus ticket costing $ 3.83 , and wo n't you give him the difference ?","[array(['It'], dtype=object) array(['may', 'be'], dtype=object)
+ array(['straightforward'], dtype=object) array(['he'], dtype=object)
+ array(['wants'], dtype=object) array(['money'], dtype=object)
+ array(['for'], dtype=object) array(['food'], dtype=object)
+ array(['incredibly', 'convoluted'], dtype=object)
+ array(['his', 'sister'], dtype=object) array(['is'], dtype=object)
+ array(['at'], dtype=object)
+ array(['this', 'very', 'moment'], dtype=object)
+ array(['near'], dtype=object) array(['death'], dtype=object)
+ array(['in'], dtype=object) array(['Hoboken'], dtype=object)
+ array(['he'], dtype=object) array(['has', 'lost'], dtype=object)
+ array(['his', 'wallet'], dtype=object) array(['has'], dtype=object)
+ array(['only', '$', '1.22'], dtype=object) array(['in'], dtype=object)
+ array(['change'], dtype=object) array(['to', 'put'], dtype=object)
+ array(['toward'], dtype=object)
+ array(['a', 'bus', 'ticket'], dtype=object)
+ array(['costing'], dtype=object) array(['$', '3.83'], dtype=object)
+ array(['you'], dtype=object) array(['give'], dtype=object)
+ array(['him'], dtype=object) array(['the', 'difference'], dtype=object)]",['the' 'difference'],['PP' 'ADVP' 'VP' 'NP'],3
+USAir and Mr. Buffett wo n't talk about Mr. Steinhardt at all .,"[array(['USAir'], dtype=object) array(['Mr.', 'Buffett'], dtype=object)
+ array(['wo', ""n't"", 'talk'], dtype=object) array(['about'], dtype=object)
+ array(['Mr.', 'Steinhardt'], dtype=object)
+ array(['at', 'all'], dtype=object)]","['wo' ""n't"" 'talk']",['PP' 'ADVP' 'NP' 'VP'],3
+The test project -- which reportedly survived Tuesday 's earthquake -- was a prelude to a state plan to retrofit that critical section of the freeway with the steel casings .,"[array(['The', 'test', 'project'], dtype=object)
+ array(['which'], dtype=object) array(['reportedly'], dtype=object)
+ array(['survived'], dtype=object) array(['Tuesday'], dtype=object)
+ array([""'s"", 'earthquake'], dtype=object) array(['was'], dtype=object)
+ array(['a', 'prelude'], dtype=object) array(['to'], dtype=object)
+ array(['a', 'state', 'plan'], dtype=object)
+ array(['to', 'retrofit'], dtype=object)
+ array(['that', 'critical', 'section'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'freeway'], dtype=object)
+ array(['with'], dtype=object)
+ array(['the', 'steel', 'casings'], dtype=object)]",['to' 'retrofit'],['PP' 'ADJP' 'NP' 'VP'],3
+"In 1987 , an average 19.7 % of Big Board volume was retail business , with the monthly level never more than 21.4 % .","[array(['In'], dtype=object) array(['1987'], dtype=object)
+ array(['an', 'average', '19.7', '%'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Big', 'Board', 'volume'], dtype=object)
+ array(['was'], dtype=object) array(['retail', 'business'], dtype=object)
+ array(['with'], dtype=object)
+ array(['the', 'monthly', 'level'], dtype=object)
+ array(['never'], dtype=object)
+ array(['more', 'than', '21.4', '%'], dtype=object)]",['the' 'monthly' 'level'],['PP' 'ADVP' 'VP' 'NP'],3
+"`` It may not be weeks or months , but they are also opportunistic and if they feel comfortable , they will move on a deal , '' he said .","[array(['It'], dtype=object) array(['may', 'not', 'be'], dtype=object)
+ array(['weeks', 'or', 'months'], dtype=object)
+ array(['they'], dtype=object) array(['are'], dtype=object)
+ array(['also'], dtype=object) array(['opportunistic'], dtype=object)
+ array(['if'], dtype=object) array(['they'], dtype=object)
+ array(['feel'], dtype=object) array(['comfortable'], dtype=object)
+ array(['they'], dtype=object) array(['will', 'move'], dtype=object)
+ array(['on'], dtype=object) array(['a', 'deal'], dtype=object)
+ array(['he'], dtype=object) array(['said'], dtype=object)]",['comfortable'],['NP' 'VP' 'PP' 'ADJP'],3
+What could imply more safety than investing in government bonds ?,"[array(['What'], dtype=object) array(['imply'], dtype=object)
+ array(['more', 'safety'], dtype=object) array(['than'], dtype=object)
+ array(['investing'], dtype=object) array(['in'], dtype=object)
+ array(['government', 'bonds'], dtype=object)]",['more' 'safety'],['VP' 'ADVP' 'PP' 'NP'],3
+She thinks traders should buy the stock if it tumbles to 35 .,"[array(['She'], dtype=object) array(['thinks'], dtype=object)
+ array(['traders'], dtype=object) array(['should', 'buy'], dtype=object)
+ array(['the', 'stock'], dtype=object) array(['if'], dtype=object)
+ array(['it'], dtype=object) array(['tumbles'], dtype=object)
+ array(['to'], dtype=object) array(['35'], dtype=object)]",['traders'],['VP' 'PP' 'ADVP' 'NP'],3
+"Although the personal computer maker said it expects revenue to meet or exceed previous projections of $ 385 million for the year ending Jan. 28 , 1990 , earnings are expected to be 25 cents to 35 cents a share , down from previous estimates of 50 cents to 60 cents .","[array(['Although'], dtype=object)
+ array(['the', 'personal', 'computer', 'maker'], dtype=object)
+ array(['said'], dtype=object) array(['it'], dtype=object)
+ array(['expects'], dtype=object) array(['revenue'], dtype=object)
+ array(['to', 'meet', 'or', 'exceed'], dtype=object)
+ array(['previous', 'projections'], dtype=object)
+ array(['of'], dtype=object) array(['$', '385', 'million'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'year'], dtype=object)
+ array(['ending'], dtype=object)
+ array(['Jan.', '28', ',', '1990'], dtype=object)
+ array(['earnings'], dtype=object)
+ array(['are', 'expected', 'to', 'be'], dtype=object)
+ array(['25', 'cents'], dtype=object) array(['35', 'cents'], dtype=object)
+ array(['a', 'share'], dtype=object) array(['down'], dtype=object)
+ array(['from'], dtype=object)
+ array(['previous', 'estimates'], dtype=object)
+ array(['of'], dtype=object) array(['50', 'cents'], dtype=object)
+ array(['60', 'cents'], dtype=object)]",['previous' 'estimates'],['VP' 'SBAR' 'PP' 'NP'],3
+"And he says Block 's other businesses are growing , although less consistently .","[array(['he'], dtype=object) array(['says'], dtype=object)
+ array(['Block'], dtype=object)
+ array([""'s"", 'other', 'businesses'], dtype=object)
+ array(['are', 'growing'], dtype=object) array(['although'], dtype=object)
+ array(['less', 'consistently'], dtype=object)]",['Block'],['VP' 'PP' 'SBAR' 'NP'],3
+"To add aftershock-damping power to America 's markets , a modern , electronic trading system should be implemented that permits equal access to the trading arena -LRB- and the information that would automatically accompany such access -RRB- by investors -- particularly institutional investors .","[array(['To', 'add'], dtype=object)
+ array(['aftershock-damping', 'power'], dtype=object)
+ array(['to'], dtype=object) array(['America'], dtype=object)
+ array([""'s"", 'markets'], dtype=object)
+ array(['a', 'modern', ',', 'electronic', 'trading', 'system'],
+       dtype=object)
+ array(['should', 'be', 'implemented'], dtype=object)
+ array(['that'], dtype=object) array(['permits'], dtype=object)
+ array(['equal', 'access'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'trading', 'arena'], dtype=object)
+ array(['the', 'information'], dtype=object) array(['that'], dtype=object)
+ array(['would', 'automatically', 'accompany'], dtype=object)
+ array(['such', 'access'], dtype=object) array(['by'], dtype=object)
+ array(['investors'], dtype=object) array(['particularly'], dtype=object)
+ array(['institutional', 'investors'], dtype=object)]",['that'],['VP' 'SBAR' 'ADVP' 'NP'],3
+"Fittingly , the Tela Accords were nicknamed by Hondurans `` the Dodd plan . ''","[array(['Fittingly'], dtype=object)
+ array(['the', 'Tela', 'Accords'], dtype=object)
+ array(['were', 'nicknamed'], dtype=object) array(['by'], dtype=object)
+ array(['Hondurans'], dtype=object)
+ array(['the', 'Dodd', 'plan'], dtype=object)]",['by'],['ADJP' 'NP' 'VP' 'PP'],3
+"The Westin St. Francis hotel , which survived the 1906 earthquake and fire , currently is less than 50 % occupied .","[array(['The', 'Westin', 'St.', 'Francis', 'hotel'], dtype=object)
+ array(['which'], dtype=object) array(['survived'], dtype=object)
+ array(['the', '1906', 'earthquake', 'and', 'fire'], dtype=object)
+ array(['currently'], dtype=object) array(['is'], dtype=object)
+ array(['less', 'than', '50', '%'], dtype=object)
+ array(['occupied'], dtype=object)]",['survived'],['NP' 'SBAR' 'PP' 'VP'],3
+"Over the weekend Fossett Corp. , another options trading firm , transferred the clearing accounts of about 160 traders to First Options of Chicago , a unit of Continental Bank Corp. , because it could n't meet regulatory capital requirements after Friday 's market slide .","[array(['Over'], dtype=object) array(['the', 'weekend'], dtype=object)
+ array(['Fossett', 'Corp.'], dtype=object)
+ array(['another', 'options', 'trading', 'firm'], dtype=object)
+ array(['transferred'], dtype=object)
+ array(['the', 'clearing', 'accounts'], dtype=object)
+ array(['of'], dtype=object)
+ array(['about', '160', 'traders'], dtype=object)
+ array(['to'], dtype=object) array(['First', 'Options'], dtype=object)
+ array(['of'], dtype=object) array(['Chicago'], dtype=object)
+ array(['a', 'unit'], dtype=object) array(['of'], dtype=object)
+ array(['Continental', 'Bank', 'Corp.'], dtype=object)
+ array(['because'], dtype=object) array(['it'], dtype=object)
+ array(['could', ""n't"", 'meet'], dtype=object)
+ array(['regulatory', 'capital', 'requirements'], dtype=object)
+ array(['after'], dtype=object) array(['Friday'], dtype=object)
+ array([""'s"", 'market', 'slide'], dtype=object)]",['another' 'options' 'trading' 'firm'],['SBAR' 'PP' 'VP' 'NP'],3
+"Because of the size of the California market , few relocation specialists expect a widespread corporate flight in the quake 's aftermath .","[array(['Because', 'of'], dtype=object)
+ array(['the', 'size'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'California', 'market'], dtype=object)
+ array(['few', 'relocation', 'specialists'], dtype=object)
+ array(['expect'], dtype=object)
+ array(['a', 'widespread', 'corporate', 'flight'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'quake'], dtype=object)
+ array([""'s"", 'aftermath'], dtype=object)]",['in'],['VP' 'PRT' 'NP' 'PP'],3
+"Scientists have isolated a molecule that may hold potential as a treatment for disruptions of the immune system , ranging from organ-transplant rejection , to allergies and asthma , Immunex Corp. said .","[array(['Scientists'], dtype=object)
+ array(['have', 'isolated'], dtype=object)
+ array(['a', 'molecule'], dtype=object) array(['that'], dtype=object)
+ array(['may', 'hold'], dtype=object) array(['potential'], dtype=object)
+ array(['as'], dtype=object) array(['a', 'treatment'], dtype=object)
+ array(['for'], dtype=object) array(['disruptions'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'immune', 'system'], dtype=object)
+ array(['ranging'], dtype=object) array(['from'], dtype=object)
+ array(['organ-transplant', 'rejection'], dtype=object)
+ array(['to'], dtype=object)
+ array(['allergies', 'and', 'asthma'], dtype=object)
+ array(['Immunex', 'Corp.'], dtype=object) array(['said'], dtype=object)]",['the' 'immune' 'system'],['VP' 'PP' 'SBAR' 'NP'],3
+"Granges said it also plans in the third quarter to write down the carrying value of the Tartan mine by 2.5 million Canadian dollars -LRB- US$ 2.12 million -RRB- , and to write off most of the C$ 6.3 million carrying value of its Windflower gold property in British Columbia .","[array(['Granges'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object) array(['also'], dtype=object)
+ array(['plans'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'third', 'quarter'], dtype=object)
+ array(['to', 'write'], dtype=object) array(['down'], dtype=object)
+ array(['the', 'carrying', 'value'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'Tartan', 'mine'], dtype=object)
+ array(['by'], dtype=object)
+ array(['2.5', 'million', 'Canadian', 'dollars'], dtype=object)
+ array(['US$', '2.12', 'million'], dtype=object)
+ array(['to', 'write'], dtype=object) array(['off'], dtype=object)
+ array(['most'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'C$', '6.3', 'million', 'carrying', 'value'], dtype=object)
+ array(['of'], dtype=object)
+ array(['its', 'Windflower', 'gold', 'property'], dtype=object)
+ array(['in'], dtype=object) array(['British', 'Columbia'], dtype=object)]",['the' 'Tartan' 'mine'],['ADVP' 'PP' 'VP' 'NP'],3
+"Using it , would n't a proessional hesitate to pay tens of thousands of dollars just for a chance to invest witha planner ?","[array(['Using'], dtype=object) array(['it'], dtype=object)
+ array(['a', 'proessional'], dtype=object)
+ array(['hesitate', 'to', 'pay'], dtype=object)
+ array(['tens', 'of', 'thousands'], dtype=object)
+ array(['of'], dtype=object) array(['dollars'], dtype=object)
+ array(['just'], dtype=object) array(['for'], dtype=object)
+ array(['a', 'chance'], dtype=object)
+ array(['to', 'invest'], dtype=object)]",['a' 'proessional'],['PP' 'VP' 'SBAR' 'NP'],3
+"These types of bonds have been used in buy-outs of companies such as RJR Nabisco Inc. , Storer Communications Inc. and Kroger Co .","[array(['These', 'types'], dtype=object) array(['of'], dtype=object)
+ array(['bonds'], dtype=object)
+ array(['have', 'been', 'used'], dtype=object) array(['in'], dtype=object)
+ array(['buy-outs'], dtype=object) array(['of'], dtype=object)
+ array(['companies'], dtype=object) array(['such', 'as'], dtype=object)
+ array(['RJR', 'Nabisco', 'Inc.'], dtype=object)
+ array(['Storer', 'Communications', 'Inc.'], dtype=object)
+ array(['Kroger', 'Co'], dtype=object)]",['buy-outs'],['ADVP' 'VP' 'SBAR' 'NP'],3
+"Management 's total could be reduced , and the public could get more than the 15 % control that had been earmarked for British Air .","[array(['Management'], dtype=object) array([""'s"", 'total'], dtype=object)
+ array(['could', 'be', 'reduced'], dtype=object)
+ array(['the', 'public'], dtype=object)
+ array(['could', 'get'], dtype=object) array(['more'], dtype=object)
+ array(['than'], dtype=object)
+ array(['the', '15', '%', 'control'], dtype=object)
+ array(['that'], dtype=object)
+ array(['had', 'been', 'earmarked'], dtype=object)
+ array(['for'], dtype=object) array(['British', 'Air'], dtype=object)]",['that'],['ADJP' 'VP' 'PP' 'NP'],3
+"The five offices in Erie and Ottawa counties in northern Ohio have total assets of about $ 88 million , Banc One said .","[array(['The', 'five', 'offices'], dtype=object)
+ array(['in'], dtype=object)
+ array(['Erie', 'and', 'Ottawa', 'counties'], dtype=object)
+ array(['in'], dtype=object) array(['northern', 'Ohio'], dtype=object)
+ array(['have'], dtype=object) array(['total', 'assets'], dtype=object)
+ array(['of'], dtype=object)
+ array(['about', '$', '88', 'million'], dtype=object)
+ array(['Banc', 'One'], dtype=object) array(['said'], dtype=object)]",['total' 'assets'],['VP' 'ADVP' 'ADJP' 'NP'],3
+The Peruvian mineral concern 's $ 251 million claim stems from 1988 jury award in a case stemming from the brothers ' alleged attempts to corner the 1979-80 silver market .,"[array(['The', 'Peruvian', 'mineral', 'concern'], dtype=object)
+ array([""'s""], dtype=object) array(['$'], dtype=object)
+ array(['claim'], dtype=object) array(['stems'], dtype=object)
+ array(['from'], dtype=object)
+ array(['1988', 'jury', 'award'], dtype=object)
+ array(['in'], dtype=object) array(['a', 'case'], dtype=object)
+ array(['stemming'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'brothers'], dtype=object)
+ array([""'"", 'alleged', 'attempts'], dtype=object)
+ array(['to', 'corner'], dtype=object)
+ array(['the', '1979-80', 'silver', 'market'], dtype=object)]",['claim'],['PP' 'ADVP' 'VP' 'NP'],3
+"Each $ 5,000 bond carries one warrant , exercisable from Dec. 1 , 1989 , through Nov. 2 , 1993 , to buy company shares at an expected premium of 2 1\/2 % to the closing share price when terms are fixed Oct. 24 .","[array(['Each', '$', '5,000', 'bond'], dtype=object)
+ array(['carries'], dtype=object) array(['one', 'warrant'], dtype=object)
+ array(['exercisable'], dtype=object) array(['from'], dtype=object)
+ array(['Dec.', '1', ',', '1989'], dtype=object)
+ array(['through'], dtype=object)
+ array(['Nov.', '2', ',', '1993'], dtype=object)
+ array(['to', 'buy'], dtype=object)
+ array(['company', 'shares'], dtype=object) array(['at'], dtype=object)
+ array(['an', 'expected', 'premium'], dtype=object)
+ array(['of'], dtype=object) array(['2', '1\\/2', '%'], dtype=object)
+ array(['to'], dtype=object)
+ array(['the', 'closing', 'share', 'price'], dtype=object)
+ array(['when'], dtype=object) array(['terms'], dtype=object)
+ array(['are', 'fixed'], dtype=object) array(['Oct.', '24'], dtype=object)]","['Each' '$' '5,000' 'bond']",['VP' 'PP' 'ADJP' 'NP'],3
+Most earn high ratings from credit agencies .,"[array(['Most'], dtype=object) array(['earn'], dtype=object)
+ array(['high', 'ratings'], dtype=object) array(['from'], dtype=object)
+ array(['credit', 'agencies'], dtype=object)]",['credit' 'agencies'],['PP' 'SBAR' 'ADVP' 'NP'],3
+"Hiroyuki Murai , general manager of the stock trading division at Nikko Securities , said that after looking at the reasons for Friday 's Wall Street plunge , participants realized that the Tokyo and New York markets have different economic fundamentals .","[array(['Hiroyuki', 'Murai'], dtype=object)
+ array(['general', 'manager'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'stock', 'trading', 'division'], dtype=object)
+ array(['at'], dtype=object) array(['Nikko', 'Securities'], dtype=object)
+ array(['said'], dtype=object) array(['that'], dtype=object)
+ array(['after'], dtype=object) array(['looking'], dtype=object)
+ array(['at'], dtype=object) array(['the', 'reasons'], dtype=object)
+ array(['for'], dtype=object) array(['Friday'], dtype=object)
+ array([""'s"", 'Wall', 'Street', 'plunge'], dtype=object)
+ array(['participants'], dtype=object) array(['realized'], dtype=object)
+ array(['that'], dtype=object)
+ array(['the', 'Tokyo', 'and', 'New', 'York', 'markets'], dtype=object)
+ array(['have'], dtype=object)
+ array(['different', 'economic', 'fundamentals'], dtype=object)]","[""'s"" 'Wall' 'Street' 'plunge']",['VP' 'PP' 'ADVP' 'NP'],3
+"Highways , such as the section of Interstate 880 that collapsed in Oakland , generally do n't have insurance coverage .","[array(['Highways'], dtype=object) array(['such', 'as'], dtype=object)
+ array(['the', 'section'], dtype=object) array(['of'], dtype=object)
+ array(['Interstate', '880'], dtype=object) array(['that'], dtype=object)
+ array(['collapsed'], dtype=object) array(['in'], dtype=object)
+ array(['Oakland'], dtype=object) array(['generally'], dtype=object)
+ array(['do', ""n't"", 'have'], dtype=object)
+ array(['insurance', 'coverage'], dtype=object)]",['Interstate' '880'],['VP' 'PP' 'ADJP' 'NP'],3
+"Analysts hailed the sweetened pension package , which they said had been the subject of rumors for several months .","[array(['Analysts'], dtype=object) array(['hailed'], dtype=object)
+ array(['the', 'sweetened', 'pension', 'package'], dtype=object)
+ array(['which'], dtype=object) array(['they'], dtype=object)
+ array(['said'], dtype=object) array(['had', 'been'], dtype=object)
+ array(['the', 'subject'], dtype=object) array(['of'], dtype=object)
+ array(['rumors'], dtype=object) array(['for'], dtype=object)
+ array(['several', 'months'], dtype=object)]",['the' 'subject'],['ADVP' 'PP' 'VP' 'NP'],3
+Estimated and actual results involving losses are omitted .,"[array(['Estimated', 'and', 'actual', 'results'], dtype=object)
+ array(['involving'], dtype=object) array(['losses'], dtype=object)
+ array(['are', 'omitted'], dtype=object)]",['involving'],['PP' 'NP' 'SBAR' 'VP'],3
+"`` They 're trying to keep planes flying on days they 'd normally park them , '' says Roger Bard , president of Mr. Mitchell Travel Service in Burnsville , N.C .","[array(['They'], dtype=object)
+ array([""'re"", 'trying', 'to', 'keep'], dtype=object)
+ array(['planes'], dtype=object) array(['flying'], dtype=object)
+ array(['on'], dtype=object) array(['days'], dtype=object)
+ array(['they'], dtype=object)
+ array([""'d"", 'normally', 'park'], dtype=object)
+ array(['them'], dtype=object) array(['says'], dtype=object)
+ array(['Roger', 'Bard'], dtype=object) array(['president'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Mr.', 'Mitchell', 'Travel', 'Service'], dtype=object)
+ array(['in'], dtype=object) array(['Burnsville'], dtype=object)
+ array(['N.C'], dtype=object)]",['they'],['VP' 'PP' 'ADVP' 'NP'],3
+B.A.T Industries PLC won overwhelming shareholder approval for a defensive restructuring to fend off a # 13.35 billion -LRB- $ 21.23 billion -RRB- takeover bid from Sir James Goldsmith .,"[array(['B.A.T', 'Industries', 'PLC'], dtype=object)
+ array(['won'], dtype=object)
+ array(['overwhelming', 'shareholder', 'approval'], dtype=object)
+ array(['for'], dtype=object)
+ array(['a', 'defensive', 'restructuring'], dtype=object)
+ array(['to', 'fend'], dtype=object) array(['off'], dtype=object)
+ array(['$'], dtype=object) array(['takeover', 'bid'], dtype=object)
+ array(['from'], dtype=object)
+ array(['Sir', 'James', 'Goldsmith'], dtype=object)]",['Sir' 'James' 'Goldsmith'],['ADJP' 'PP' 'VP' 'NP'],3
+"By the time a recession is `` official '' -LRB- two consecutive quarters of declining gross national product -RRB- , much of the damage to stocks has already been done - and , in the typical case , the recession is already half over .","[array(['By'], dtype=object) array(['the', 'time'], dtype=object)
+ array(['a', 'recession'], dtype=object) array(['is'], dtype=object)
+ array(['official'], dtype=object)
+ array(['two', 'consecutive', 'quarters'], dtype=object)
+ array(['of'], dtype=object)
+ array(['declining', 'gross', 'national', 'product'], dtype=object)
+ array(['much'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'damage'], dtype=object) array(['to'], dtype=object)
+ array(['stocks'], dtype=object)
+ array(['has', 'already', 'been', 'done'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'typical', 'case'], dtype=object)
+ array(['the', 'recession'], dtype=object) array(['is'], dtype=object)
+ array(['already'], dtype=object) array(['half', 'over'], dtype=object)]",['official'],['NP' 'PP' 'SBAR' 'ADJP'],3
+But proponents believe they may be able to shake enough votes loose to override the veto if they are successful in portraying the legislation as a matter of parents ' rights .,"[array(['proponents'], dtype=object) array(['believe'], dtype=object)
+ array(['they'], dtype=object) array(['may', 'be'], dtype=object)
+ array(['able'], dtype=object) array(['to', 'shake'], dtype=object)
+ array(['enough', 'votes'], dtype=object) array(['loose'], dtype=object)
+ array(['to', 'override'], dtype=object)
+ array(['the', 'veto'], dtype=object) array(['if'], dtype=object)
+ array(['they'], dtype=object) array(['are'], dtype=object)
+ array(['successful'], dtype=object) array(['in'], dtype=object)
+ array(['portraying'], dtype=object)
+ array(['the', 'legislation'], dtype=object) array(['as'], dtype=object)
+ array(['a', 'matter'], dtype=object) array(['of'], dtype=object)
+ array(['parents'], dtype=object) array([""'"", 'rights'], dtype=object)]",['successful'],['PP' 'VP' 'NP' 'ADJP'],3
+"John C. Burton , an accounting professor at Columbia University 's Graduate School of Business , said `` there 's a lot of emotion involved in the name of an accounting firm with a long history and with roots in England , where accounting predates the U.S. . ''","[array(['John', 'C.', 'Burton'], dtype=object)
+ array(['an', 'accounting', 'professor'], dtype=object)
+ array(['at'], dtype=object)
+ array(['Columbia', 'University'], dtype=object)
+ array([""'s"", 'Graduate', 'School'], dtype=object)
+ array(['of'], dtype=object) array(['Business'], dtype=object)
+ array(['said'], dtype=object) array(['there'], dtype=object)
+ array([""'s""], dtype=object) array(['a', 'lot'], dtype=object)
+ array(['of'], dtype=object) array(['emotion'], dtype=object)
+ array(['involved'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'name'], dtype=object) array(['of'], dtype=object)
+ array(['an', 'accounting', 'firm'], dtype=object)
+ array(['with'], dtype=object)
+ array(['a', 'long', 'history'], dtype=object)
+ array(['and'], dtype=object) array(['with'], dtype=object)
+ array(['roots'], dtype=object) array(['in'], dtype=object)
+ array(['England'], dtype=object) array(['where'], dtype=object)
+ array(['accounting'], dtype=object) array(['predates'], dtype=object)
+ array(['the', 'U.S.'], dtype=object)]",['an' 'accounting' 'firm'],['PP' 'VP' 'ADVP' 'NP'],3
+This bill simply says that if you want to develop property on a barrier island you have to do so without taxpayer support .,"[array(['This', 'bill'], dtype=object) array(['simply'], dtype=object)
+ array(['says'], dtype=object) array(['that'], dtype=object)
+ array(['if'], dtype=object) array(['you'], dtype=object)
+ array(['want', 'to', 'develop'], dtype=object)
+ array(['property'], dtype=object) array(['on'], dtype=object)
+ array(['a', 'barrier', 'island'], dtype=object)
+ array(['you'], dtype=object) array(['have', 'to', 'do'], dtype=object)
+ array(['so'], dtype=object) array(['without'], dtype=object)
+ array(['taxpayer', 'support'], dtype=object)]",['without'],['NP' 'ADVP' 'VP' 'PP'],3
+Sterling said it had requested a briefing by NASA but had not decided whether to protest the agency 's latest decision .,"[array(['Sterling'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object) array(['had', 'requested'], dtype=object)
+ array(['a', 'briefing'], dtype=object) array(['by'], dtype=object)
+ array(['NASA'], dtype=object)
+ array(['had', 'not', 'decided'], dtype=object)
+ array(['whether'], dtype=object) array(['to', 'protest'], dtype=object)
+ array(['the', 'agency'], dtype=object)
+ array([""'s"", 'latest', 'decision'], dtype=object)]","[""'s"" 'latest' 'decision']",['ADVP' 'VP' 'PP' 'NP'],3
+But some investors and consultants who have tried it are enthusiastic .,"[array(['some', 'investors', 'and', 'consultants'], dtype=object)
+ array(['who'], dtype=object) array(['have', 'tried'], dtype=object)
+ array(['it'], dtype=object) array(['are'], dtype=object)
+ array(['enthusiastic'], dtype=object)]",['enthusiastic'],['NP' 'PP' 'VP' 'ADJP'],3
+"The company has long struggled to deliver a strong mainframe-class product , and made a costly decision in 1988 to halt development of an interim product meant to stem the revenue losses at the high end .","[array(['The', 'company'], dtype=object)
+ array(['has', 'long', 'struggled', 'to', 'deliver'], dtype=object)
+ array(['a', 'strong', 'mainframe-class', 'product'], dtype=object)
+ array(['made'], dtype=object)
+ array(['a', 'costly', 'decision'], dtype=object)
+ array(['in'], dtype=object) array(['1988'], dtype=object)
+ array(['to', 'halt'], dtype=object) array(['development'], dtype=object)
+ array(['of'], dtype=object)
+ array(['an', 'interim', 'product'], dtype=object)
+ array(['meant', 'to', 'stem'], dtype=object)
+ array(['the', 'revenue', 'losses'], dtype=object)
+ array(['at'], dtype=object) array(['the', 'high', 'end'], dtype=object)]",['has' 'long' 'struggled' 'to' 'deliver'],['ADVP' 'NP' 'PP' 'VP'],3
+"Richard M. Greenwood , Valley National 's executive vice president , said then that the company believed the write-downs were `` adequate '' and did n't plan to increase its reserves again .","[array(['Richard', 'M.', 'Greenwood'], dtype=object)
+ array(['Valley', 'National'], dtype=object)
+ array([""'s"", 'executive', 'vice', 'president'], dtype=object)
+ array(['said'], dtype=object) array(['then'], dtype=object)
+ array(['that'], dtype=object) array(['the', 'company'], dtype=object)
+ array(['believed'], dtype=object)
+ array(['the', 'write-downs'], dtype=object) array(['were'], dtype=object)
+ array(['adequate'], dtype=object)
+ array(['did', ""n't"", 'plan', 'to', 'increase'], dtype=object)
+ array(['its', 'reserves'], dtype=object) array(['again'], dtype=object)]",['then'],['ADJP' 'NP' 'PP' 'ADVP'],3
+"For one thing , Digital , Maynard , Mass. , has sold fewer machines .","[array(['For'], dtype=object) array(['one', 'thing'], dtype=object)
+ array(['Digital'], dtype=object) array(['Maynard'], dtype=object)
+ array(['Mass.'], dtype=object) array(['has', 'sold'], dtype=object)
+ array(['fewer', 'machines'], dtype=object)]",['For'],['ADVP' 'VP' 'NP' 'PP'],3
+The prospectus also notes that the securities are not guaranteed by any government agency .,"[array(['The', 'prospectus'], dtype=object) array(['also'], dtype=object)
+ array(['notes'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'securities'], dtype=object)
+ array(['are', 'not', 'guaranteed'], dtype=object)
+ array(['by'], dtype=object)
+ array(['any', 'government', 'agency'], dtype=object)]",['also'],['NP' 'VP' 'PP' 'ADVP'],3
+"By their constant readiness to advise all and sundry about federal budgetary matters the chairmen have encouraged the belief that fiscal policy and monetary policy are ingredients of a common stew , in which case it is natural that the Fed and the Treasury , and probably also the Congress , should be jointly engaged in stirring the pot .","[array(['By'], dtype=object)
+ array(['their', 'constant', 'readiness'], dtype=object)
+ array(['to', 'advise'], dtype=object)
+ array(['all', 'and', 'sundry'], dtype=object)
+ array(['about'], dtype=object)
+ array(['federal', 'budgetary', 'matters'], dtype=object)
+ array(['the', 'chairmen'], dtype=object)
+ array(['have', 'encouraged'], dtype=object)
+ array(['the', 'belief'], dtype=object)
+ array(['fiscal', 'policy'], dtype=object)
+ array(['monetary', 'policy'], dtype=object) array(['are'], dtype=object)
+ array(['ingredients'], dtype=object) array(['of'], dtype=object)
+ array(['a', 'common', 'stew'], dtype=object) array(['in'], dtype=object)
+ array(['which', 'case'], dtype=object) array(['it'], dtype=object)
+ array(['is'], dtype=object) array(['natural'], dtype=object)
+ array(['that'], dtype=object) array(['the', 'Fed'], dtype=object)
+ array(['the', 'Treasury'], dtype=object)
+ array([',', 'and', 'probably', 'also'], dtype=object)
+ array(['the', 'Congress'], dtype=object)
+ array(['should', 'be', 'jointly', 'engaged'], dtype=object)
+ array(['in'], dtype=object) array(['stirring'], dtype=object)
+ array(['the', 'pot'], dtype=object)]",['their' 'constant' 'readiness'],['PP' 'SBAR' 'VP' 'NP'],3
+"As a result , GOP state Rep. Stephen Freind of Delaware County , the legislature 's leading foe of abortion , has been given all but free rein to press a strict seven-point plan to restrict abortion and , he hopes , to force the Supreme Court directly to reassess its 1973 Roe v. Wade decision that established the right of abortion in the first place .","[array(['As'], dtype=object) array(['a', 'result'], dtype=object)
+ array(['GOP', 'state', 'Rep.', 'Stephen', 'Freind'], dtype=object)
+ array(['of'], dtype=object) array(['Delaware', 'County'], dtype=object)
+ array(['the', 'legislature'], dtype=object)
+ array([""'s"", 'leading', 'foe'], dtype=object) array(['of'], dtype=object)
+ array(['abortion'], dtype=object)
+ array(['has', 'been', 'given'], dtype=object)
+ array(['all', 'but'], dtype=object) array(['free', 'rein'], dtype=object)
+ array(['to', 'press'], dtype=object)
+ array(['a', 'strict', 'seven-point', 'plan'], dtype=object)
+ array(['to', 'restrict'], dtype=object) array(['abortion'], dtype=object)
+ array(['he'], dtype=object) array(['hopes'], dtype=object)
+ array(['to', 'force'], dtype=object)
+ array(['the', 'Supreme', 'Court'], dtype=object)
+ array(['directly'], dtype=object) array(['to', 'reassess'], dtype=object)
+ array(['its', '1973', 'Roe', 'v.', 'Wade', 'decision'], dtype=object)
+ array(['that'], dtype=object) array(['established'], dtype=object)
+ array(['the', 'right'], dtype=object) array(['of'], dtype=object)
+ array(['abortion'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'first', 'place'], dtype=object)]",['free' 'rein'],['ADJP' 'PP' 'VP' 'NP'],3
+"In addition , another major building tenant , Thomson McKinnon Inc. 's Thomson McKinnon Securities , likely will vacate the premises as part of its liquidation .","[array(['In'], dtype=object) array(['addition'], dtype=object)
+ array(['another', 'major', 'building', 'tenant'], dtype=object)
+ array(['Thomson', 'McKinnon', 'Inc.'], dtype=object)
+ array([""'s"", 'Thomson', 'McKinnon', 'Securities'], dtype=object)
+ array(['likely'], dtype=object) array(['will', 'vacate'], dtype=object)
+ array(['the', 'premises'], dtype=object) array(['as'], dtype=object)
+ array(['part'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'liquidation'], dtype=object)]",['the' 'premises'],['PP' 'VP' 'SBAR' 'NP'],3
+"For one thing , Digital , Maynard , Mass. , has sold fewer machines .","[array(['For'], dtype=object) array(['one', 'thing'], dtype=object)
+ array(['Digital'], dtype=object) array(['Maynard'], dtype=object)
+ array(['Mass.'], dtype=object) array(['has', 'sold'], dtype=object)
+ array(['fewer', 'machines'], dtype=object)]",['has' 'sold'],['ADVP' 'NP' 'PP' 'VP'],3
+"I guess we 're all living very tentatively here , waiting for the expected but dreaded aftershock .","[array(['I'], dtype=object) array(['guess'], dtype=object)
+ array(['we'], dtype=object) array([""'re""], dtype=object)
+ array(['living'], dtype=object)
+ array(['very', 'tentatively'], dtype=object)
+ array(['here'], dtype=object) array(['waiting'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'expected', 'but', 'dreaded', 'aftershock'], dtype=object)]",['the' 'expected' 'but' 'dreaded' 'aftershock'],['VP' 'ADVP' 'PP' 'NP'],3
+Apple Computer Inc. posted improved fiscal fourth-quarter profit due largely to a $ 48 million gain on the sale of its stock in Adobe Systems Inc .,"[array(['Apple', 'Computer', 'Inc.'], dtype=object)
+ array(['posted'], dtype=object)
+ array(['improved', 'fiscal', 'fourth-quarter', 'profit'], dtype=object)
+ array(['due', 'largely'], dtype=object) array(['to'], dtype=object)
+ array(['a', '$', '48', 'million', 'gain'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'sale'], dtype=object)
+ array(['of'], dtype=object) array(['its', 'stock'], dtype=object)
+ array(['in'], dtype=object)
+ array(['Adobe', 'Systems', 'Inc'], dtype=object)]",['Apple' 'Computer' 'Inc.'],['ADJP' 'VP' 'PP' 'NP'],3
+"In a statement , Alex Kroll , Young & Rubicam 's chairman , said `` under the present circumstances -LCB- we -RCB- have agreed that it is prudent to discontinue that contract . ''","[array(['In'], dtype=object) array(['a', 'statement'], dtype=object)
+ array(['Alex', 'Kroll'], dtype=object)
+ array(['Young', '&', 'Rubicam'], dtype=object)
+ array([""'s"", 'chairman'], dtype=object) array(['said'], dtype=object)
+ array(['under'], dtype=object)
+ array(['the', 'present', 'circumstances'], dtype=object)
+ array(['we'], dtype=object) array(['have', 'agreed'], dtype=object)
+ array(['that'], dtype=object) array(['it'], dtype=object)
+ array(['is'], dtype=object) array(['prudent'], dtype=object)
+ array(['to', 'discontinue'], dtype=object)
+ array(['that', 'contract'], dtype=object)]",['the' 'present' 'circumstances'],['VP' 'PP' 'SBAR' 'NP'],3
+"What loyalty there is to gas brands , he believes , is a matter of stopping at the most conveniently located service stations .","[array(['What', 'loyalty'], dtype=object) array(['there'], dtype=object)
+ array(['is'], dtype=object) array(['to'], dtype=object)
+ array(['gas', 'brands'], dtype=object) array(['he'], dtype=object)
+ array(['believes'], dtype=object) array(['is'], dtype=object)
+ array(['a', 'matter'], dtype=object) array(['of'], dtype=object)
+ array(['stopping'], dtype=object) array(['at'], dtype=object)
+ array(['most', 'conveniently'], dtype=object)
+ array(['located', 'service', 'stations'], dtype=object)]",['located' 'service' 'stations'],['SBAR' 'VP' 'PP' 'NP'],3
+Heidi Ehman might have stepped from a recruiting poster for young Republicans .,"[array(['Heidi', 'Ehman'], dtype=object)
+ array(['might', 'have', 'stepped'], dtype=object)
+ array(['from'], dtype=object)
+ array(['a', 'recruiting', 'poster'], dtype=object)
+ array(['for'], dtype=object)
+ array(['young', 'Republicans'], dtype=object)]",['from'],['VP' 'ADJP' 'NP' 'PP'],3
+"In Brussels , it was the first trading day for most major shares since stocks tumbled on Wall Street Friday .","[array(['In'], dtype=object) array(['Brussels'], dtype=object)
+ array(['it'], dtype=object) array(['was'], dtype=object)
+ array(['the', 'first', 'trading', 'day'], dtype=object)
+ array(['for'], dtype=object)
+ array(['most', 'major', 'shares'], dtype=object)
+ array(['since'], dtype=object) array(['stocks'], dtype=object)
+ array(['tumbled'], dtype=object) array(['on'], dtype=object)
+ array(['Wall', 'Street'], dtype=object) array(['Friday'], dtype=object)]",['for'],['VP' 'NP' 'ADVP' 'PP'],3
+"Longtime Hollywood associates describe Mr. Guber as the intellectual powerhouse of the two , a man with a flair for deal-making and marketing .","[array(['Longtime', 'Hollywood', 'associates'], dtype=object)
+ array(['describe'], dtype=object) array(['Mr.', 'Guber'], dtype=object)
+ array(['as'], dtype=object)
+ array(['the', 'intellectual', 'powerhouse'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'two'], dtype=object)
+ array(['a', 'man'], dtype=object) array(['with'], dtype=object)
+ array(['a', 'flair'], dtype=object) array(['for'], dtype=object)
+ array(['deal-making', 'and', 'marketing'], dtype=object)]",['Longtime' 'Hollywood' 'associates'],['PP' 'ADVP' 'VP' 'NP'],3
+"The Fed is easily assigned the blame for unpleasantness , like high interest rates or slow economic growth , while the politicians can escape responsibility by pointing to the Fed 's independence .","[array(['The', 'Fed'], dtype=object)
+ array(['is', 'easily', 'assigned'], dtype=object)
+ array(['the', 'blame'], dtype=object) array(['for'], dtype=object)
+ array(['unpleasantness'], dtype=object) array(['like'], dtype=object)
+ array(['high', 'interest', 'rates'], dtype=object)
+ array(['slow', 'economic', 'growth'], dtype=object)
+ array(['while'], dtype=object)
+ array(['the', 'politicians'], dtype=object)
+ array(['can', 'escape'], dtype=object)
+ array(['responsibility'], dtype=object) array(['by'], dtype=object)
+ array(['pointing'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'Fed'], dtype=object)
+ array([""'s"", 'independence'], dtype=object)]",['unpleasantness'],['ADJP' 'VP' 'PP' 'NP'],3
+"Housing , for instance , has remained a fairly steady component of household assets over the past decade -- although common wisdom would have expected an increase .","[array(['Housing'], dtype=object) array(['for'], dtype=object)
+ array(['instance'], dtype=object)
+ array(['has', 'remained'], dtype=object)
+ array(['a', 'fairly', 'steady', 'component'], dtype=object)
+ array(['of'], dtype=object) array(['household', 'assets'], dtype=object)
+ array(['over'], dtype=object)
+ array(['the', 'past', 'decade'], dtype=object)
+ array(['although'], dtype=object)
+ array(['common', 'wisdom'], dtype=object)
+ array(['would', 'have', 'expected'], dtype=object)
+ array(['an', 'increase'], dtype=object)]",['of'],['NP' 'VP' 'SBAR' 'PP'],3
+"`` Long-term investing -- that 's not Steinhardt 's style , '' chuckles an investor who once worked at Steinhardt Partners .","[array(['Long-term', 'investing'], dtype=object)
+ array(['that'], dtype=object) array([""'s""], dtype=object)
+ array(['Steinhardt'], dtype=object) array([""'s"", 'style'], dtype=object)
+ array(['chuckles'], dtype=object) array(['an', 'investor'], dtype=object)
+ array(['who'], dtype=object) array(['once'], dtype=object)
+ array(['worked'], dtype=object) array(['at'], dtype=object)
+ array(['Steinhardt', 'Partners'], dtype=object)]","[""'s""]",['NP' 'ADVP' 'SBAR' 'VP'],3
+Japanese involvement in American publishing has been so small to date that magazines such as Business Tokyo are considered groundbreakers .,"[array(['Japanese', 'involvement'], dtype=object)
+ array(['in'], dtype=object)
+ array(['American', 'publishing'], dtype=object)
+ array(['has', 'been'], dtype=object) array(['so', 'small'], dtype=object)
+ array(['to'], dtype=object) array(['date'], dtype=object)
+ array(['that'], dtype=object) array(['magazines'], dtype=object)
+ array(['such', 'as'], dtype=object)
+ array(['Business', 'Tokyo'], dtype=object)
+ array(['are', 'considered'], dtype=object)
+ array(['groundbreakers'], dtype=object)]",['in'],['VP' 'NP' 'SBAR' 'PP'],3
+Mr. Gross said he had hoped that a cost savings of $ 450 million would result in even greater growth than the 20 % annual earnings increase AT&T has told analysts it expects in the future .,"[array(['Mr.', 'Gross'], dtype=object) array(['said'], dtype=object)
+ array(['he'], dtype=object) array(['had', 'hoped'], dtype=object)
+ array(['that'], dtype=object)
+ array(['a', 'cost', 'savings'], dtype=object) array(['of'], dtype=object)
+ array(['$', '450', 'million'], dtype=object)
+ array(['would', 'result'], dtype=object) array(['in'], dtype=object)
+ array(['even', 'greater', 'growth'], dtype=object)
+ array(['than'], dtype=object)
+ array(['the', '20', '%', 'annual', 'earnings', 'increase'], dtype=object)
+ array(['AT&T'], dtype=object) array(['has', 'told'], dtype=object)
+ array(['analysts'], dtype=object) array(['it'], dtype=object)
+ array(['expects'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'future'], dtype=object)]",['has' 'told'],['PP' 'ADVP' 'NP' 'VP'],3
+"`` This decision will have a very considerable impact , '' said Kenneth Abraham , professor of environmental law and insurance law at the University of Virginia , because many commercial insurance policies are issued by companies based in New York .","[array(['This', 'decision'], dtype=object)
+ array(['will', 'have'], dtype=object)
+ array(['a', 'very', 'considerable', 'impact'], dtype=object)
+ array(['said'], dtype=object) array(['Kenneth', 'Abraham'], dtype=object)
+ array(['professor'], dtype=object) array(['of'], dtype=object)
+ array(['environmental', 'law'], dtype=object)
+ array(['insurance', 'law'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'University'], dtype=object) array(['of'], dtype=object)
+ array(['Virginia'], dtype=object) array(['because'], dtype=object)
+ array(['many', 'commercial', 'insurance', 'policies'], dtype=object)
+ array(['are', 'issued'], dtype=object) array(['by'], dtype=object)
+ array(['companies'], dtype=object) array(['based'], dtype=object)
+ array(['in'], dtype=object) array(['New', 'York'], dtype=object)]",['are' 'issued'],['ADVP' 'PP' 'NP' 'VP'],3
+"In an interview , James Smith said the banks ' `` markets are contiguous and their business philosophies are similar and conservative . ''","[array(['In'], dtype=object) array(['an', 'interview'], dtype=object)
+ array(['James', 'Smith'], dtype=object) array(['said'], dtype=object)
+ array(['the', 'banks'], dtype=object)
+ array([""'"", '``', 'markets'], dtype=object) array(['are'], dtype=object)
+ array(['contiguous'], dtype=object)
+ array(['their', 'business', 'philosophies'], dtype=object)
+ array(['are'], dtype=object)
+ array(['similar', 'and', 'conservative'], dtype=object)]",['their' 'business' 'philosophies'],['VP' 'SBAR' 'PP' 'NP'],3
+"Information systems posted a loss of $ 8 million , compared with a loss of $ 9 million a year earlier .","[array(['Information', 'systems'], dtype=object)
+ array(['posted'], dtype=object) array(['a', 'loss'], dtype=object)
+ array(['of'], dtype=object) array(['$', '8', 'million'], dtype=object)
+ array(['compared'], dtype=object) array(['with'], dtype=object)
+ array(['a', 'loss'], dtype=object) array(['of'], dtype=object)
+ array(['$', '9', 'million'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['earlier'], dtype=object)]",['a' 'loss'],['SBAR' 'VP' 'PP' 'NP'],3
+"Otherwise , Jaguar may have to tolerate the two U.S. auto giants each owning a 15 % stake for more than a year .","[array(['Otherwise'], dtype=object) array(['Jaguar'], dtype=object)
+ array(['may', 'have', 'to', 'tolerate'], dtype=object)
+ array(['the', 'two', 'U.S.', 'auto', 'giants'], dtype=object)
+ array(['owning'], dtype=object)
+ array(['a', '15', '%', 'stake'], dtype=object)
+ array(['for'], dtype=object) array(['more'], dtype=object)
+ array(['than'], dtype=object) array(['a', 'year'], dtype=object)]",['a' 'year'],['PP' 'VP' 'ADVP' 'NP'],3
+"`` It felt like I was on a station platform and a train went by , '' said one man , describing my own reaction .","[array(['It'], dtype=object) array(['felt'], dtype=object)
+ array(['like'], dtype=object) array(['I'], dtype=object)
+ array(['was'], dtype=object) array(['on'], dtype=object)
+ array(['a', 'station', 'platform'], dtype=object)
+ array(['a', 'train'], dtype=object) array(['went'], dtype=object)
+ array(['by'], dtype=object) array(['said'], dtype=object)
+ array(['one', 'man'], dtype=object) array(['describing'], dtype=object)
+ array(['my', 'own', 'reaction'], dtype=object)]",['by'],['PP' 'VP' 'NP' 'ADVP'],3
+"`` If we want to survive as a people , '' he says , `` we have to change our way of life .","[array(['If'], dtype=object) array(['we'], dtype=object)
+ array(['want', 'to', 'survive'], dtype=object)
+ array(['as'], dtype=object) array(['a', 'people'], dtype=object)
+ array(['he'], dtype=object) array(['says'], dtype=object)
+ array(['we'], dtype=object) array(['have', 'to', 'change'], dtype=object)
+ array(['our', 'way'], dtype=object) array(['of'], dtype=object)
+ array(['life'], dtype=object)]",['as'],['VP' 'SBAR' 'NP' 'PP'],3
+`` Amenities '' planned for Chicago 's new Parkshore Tower apartments include an on-site investment counselor .,"[array(['Amenities'], dtype=object) array(['planned'], dtype=object)
+ array(['for'], dtype=object) array(['Chicago'], dtype=object)
+ array([""'s"", 'new', 'Parkshore', 'Tower', 'apartments'], dtype=object)
+ array(['include'], dtype=object)
+ array(['an', 'on-site', 'investment', 'counselor'], dtype=object)]",['planned'],['SBAR' 'NP' 'PP' 'VP'],3
+"On Oct. 29 , 1929 -- a date historians stubbornly insist on associating with the dreaded C-word -- the DJ industrials fell 12.8 % .","[array(['On'], dtype=object)
+ array(['Oct.', '29', ',', '1929'], dtype=object)
+ array(['a', 'date'], dtype=object) array(['historians'], dtype=object)
+ array(['stubbornly'], dtype=object) array(['insist'], dtype=object)
+ array(['on'], dtype=object) array(['associating'], dtype=object)
+ array(['with'], dtype=object)
+ array(['the', 'dreaded', 'C-word'], dtype=object)
+ array(['the', 'DJ', 'industrials'], dtype=object)
+ array(['fell'], dtype=object) array(['12.8', '%'], dtype=object)]",['a' 'date'],['ADVP' 'VP' 'PP' 'NP'],3
+"The new deal was considered the most generous of its kind , both financially and in terms of creative freedom .","[array(['The', 'new', 'deal'], dtype=object)
+ array(['was', 'considered'], dtype=object)
+ array(['the', 'most', 'generous'], dtype=object)
+ array(['of'], dtype=object) array(['its', 'kind'], dtype=object)
+ array(['financially'], dtype=object) array(['in'], dtype=object)
+ array(['terms'], dtype=object) array(['of'], dtype=object)
+ array(['creative', 'freedom'], dtype=object)]",['terms'],['PP' 'VP' 'ADVP' 'NP'],3
+"He said that his resignation was a mutual decision with Capital Holding management , but that he was n't actually asked to resign .","[array(['He'], dtype=object) array(['said'], dtype=object)
+ array(['his', 'resignation'], dtype=object) array(['was'], dtype=object)
+ array(['a', 'mutual', 'decision'], dtype=object)
+ array(['with'], dtype=object)
+ array(['Capital', 'Holding', 'management'], dtype=object)
+ array(['that'], dtype=object) array(['he'], dtype=object)
+ array(['was', ""n't"", 'actually', 'asked'], dtype=object)
+ array(['to', 'resign'], dtype=object)]","['was' ""n't"" 'actually' 'asked']",['ADVP' 'NP' 'PP' 'VP'],3
+The Hun Sen regime has sent thousands of conscript laborers to die of malaria and malnourishment while building Cambodia 's equivalent of the Berlin Wall near the Thai border .,"[array(['The', 'Hun', 'Sen', 'regime'], dtype=object)
+ array(['has', 'sent'], dtype=object) array(['thousands'], dtype=object)
+ array(['of'], dtype=object)
+ array(['conscript', 'laborers'], dtype=object)
+ array(['to', 'die'], dtype=object) array(['of'], dtype=object)
+ array(['malaria', 'and', 'malnourishment'], dtype=object)
+ array(['while'], dtype=object) array(['building'], dtype=object)
+ array(['Cambodia'], dtype=object)
+ array([""'s"", 'equivalent'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Berlin', 'Wall'], dtype=object)
+ array(['near'], dtype=object)
+ array(['the', 'Thai', 'border'], dtype=object)]",['conscript' 'laborers'],['PP' 'SBAR' 'ADVP' 'NP'],3
+"Though he himself does n't expect a recession soon , Mr. Wyss advises people who do that `` the best thing to be in is long that is , 20-year to 30-year Treasury bonds . ''","[array(['Though'], dtype=object) array(['he'], dtype=object)
+ array(['himself'], dtype=object)
+ array(['does', ""n't"", 'expect'], dtype=object)
+ array(['a', 'recession'], dtype=object) array(['soon'], dtype=object)
+ array(['Mr.', 'Wyss'], dtype=object) array(['advises'], dtype=object)
+ array(['people'], dtype=object) array(['who'], dtype=object)
+ array(['do'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'best', 'thing'], dtype=object)
+ array(['to', 'be'], dtype=object) array(['in'], dtype=object)
+ array(['is'], dtype=object) array(['that'], dtype=object)
+ array(['is'], dtype=object)
+ array([',', '20-year', 'to', '30-year', 'Treasury', 'bonds'], dtype=object)]",['himself'],['VP' 'ADVP' 'PP' 'NP'],3
+"American Home Products , based in New York , agreed to recall four other products , trazadone , doxepin , diazepam and lorazapam , because of concerns about data submitted in their original approval applications before the FDA .","[array(['American', 'Home', 'Products'], dtype=object)
+ array(['based'], dtype=object) array(['in'], dtype=object)
+ array(['New', 'York'], dtype=object)
+ array(['agreed', 'to', 'recall'], dtype=object)
+ array(['four', 'other', 'products'], dtype=object)
+ array(['trazadone', ',', 'doxepin', ',', 'diazepam', 'and', 'lorazapam'],
+       dtype=object)
+ array(['because', 'of'], dtype=object) array(['concerns'], dtype=object)
+ array(['about'], dtype=object) array(['data'], dtype=object)
+ array(['submitted'], dtype=object) array(['in'], dtype=object)
+ array(['their', 'original', 'approval', 'applications'], dtype=object)
+ array(['before'], dtype=object) array(['the', 'FDA'], dtype=object)]",['four' 'other' 'products'],['PP' 'VP' 'SBAR' 'NP'],3
+"Investor Robert M. Gintel , who owns a 4.7 % stake in the company , said he plans a proxy fight for control of its board .","[array(['Investor', 'Robert', 'M.', 'Gintel'], dtype=object)
+ array(['who'], dtype=object) array(['owns'], dtype=object)
+ array(['a', '4.7', '%', 'stake'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'company'], dtype=object)
+ array(['said'], dtype=object) array(['he'], dtype=object)
+ array(['plans'], dtype=object)
+ array(['a', 'proxy', 'fight'], dtype=object) array(['for'], dtype=object)
+ array(['control'], dtype=object) array(['of'], dtype=object)
+ array(['its', 'board'], dtype=object)]",['its' 'board'],['VP' 'SBAR' 'PP' 'NP'],3
+"Shares closed lower in other major Asian and Pacific markets , including Sydney , Hong Kong , Singapore , Taipei , Wellington , Seoul and Manila .","[array(['Shares'], dtype=object) array(['closed'], dtype=object)
+ array(['lower'], dtype=object) array(['in'], dtype=object)
+ array(['other', 'major', 'Asian', 'and', 'Pacific', 'markets'],
+       dtype=object)
+ array(['including'], dtype=object) array(['Sydney'], dtype=object)
+ array(['Hong', 'Kong'], dtype=object) array(['Singapore'], dtype=object)
+ array(['Taipei'], dtype=object) array(['Wellington'], dtype=object)
+ array(['Seoul'], dtype=object) array(['Manila'], dtype=object)]",['Seoul'],['VP' 'PP' 'ADVP' 'NP'],3
+"In other active shares , Trusthouse Forte shed 10 to 294 on volume of 6.4 million shares after a Barclays De Zoete Wedd downgrading , while Hillsdown Holdings , a food products concern , was boosted 2 to 271 after it disclosed it would seek shareholder approval to begin share repurchases .","[array(['In'], dtype=object)
+ array(['other', 'active', 'shares'], dtype=object)
+ array(['Trusthouse', 'Forte'], dtype=object)
+ array(['shed'], dtype=object) array(['10'], dtype=object)
+ array(['to'], dtype=object) array(['294'], dtype=object)
+ array(['on'], dtype=object) array(['volume'], dtype=object)
+ array(['of'], dtype=object)
+ array(['6.4', 'million', 'shares'], dtype=object)
+ array(['after'], dtype=object)
+ array(['a', 'Barclays', 'De', 'Zoete', 'Wedd', 'downgrading'],
+       dtype=object)
+ array(['while'], dtype=object)
+ array(['Hillsdown', 'Holdings'], dtype=object)
+ array(['a', 'food', 'products', 'concern'], dtype=object)
+ array(['was', 'boosted'], dtype=object) array(['2'], dtype=object)
+ array(['to'], dtype=object) array(['271'], dtype=object)
+ array(['it'], dtype=object) array(['disclosed'], dtype=object)
+ array(['it'], dtype=object) array(['would', 'seek'], dtype=object)
+ array(['shareholder', 'approval'], dtype=object)
+ array(['to', 'begin'], dtype=object)
+ array(['share', 'repurchases'], dtype=object)]",['share' 'repurchases'],['VP' 'SBAR' 'PP' 'NP'],3
+"Whitbread 's wine , spirits and soft-drink operations had trading profit of # 35.4 million on sales of # 315.5 million in the year ended Feb. 25 .","[array(['Whitbread'], dtype=object) array([""'s""], dtype=object)
+ array(['wine', ',', 'spirits', 'and', 'soft-drink'], dtype=object)
+ array(['operations'], dtype=object) array(['had'], dtype=object)
+ array(['trading', 'profit'], dtype=object) array(['of'], dtype=object)
+ array(['#', '35.4', 'million'], dtype=object) array(['on'], dtype=object)
+ array(['sales'], dtype=object) array(['of'], dtype=object)
+ array(['#', '315.5', 'million'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'year'], dtype=object)
+ array(['ended'], dtype=object) array(['Feb.', '25'], dtype=object)]",['of'],['ADVP' 'NP' 'VP' 'PP'],3
+The implication is that your permanent-insurance policy is really some kind of CD or mutual-fund account with an added feature .,"[array(['The', 'implication'], dtype=object) array(['is'], dtype=object)
+ array(['your', 'permanent-insurance', 'policy'], dtype=object)
+ array(['is'], dtype=object) array(['really'], dtype=object)
+ array(['some', 'kind'], dtype=object) array(['of'], dtype=object)
+ array(['CD'], dtype=object)
+ array(['mutual-fund', 'account'], dtype=object)
+ array(['with'], dtype=object)
+ array(['an', 'added', 'feature'], dtype=object)]",['some' 'kind'],['ADVP' 'PP' 'ADJP' 'NP'],3
+Revenue increased 22 % to $ 2.5 billion from $ 2.1 billion .,"[array(['Revenue'], dtype=object) array(['increased'], dtype=object)
+ array(['22', '%'], dtype=object) array(['to'], dtype=object)
+ array(['$', '2.5', 'billion'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '2.1', 'billion'], dtype=object)]",['increased'],['ADJP' 'PP' 'NP' 'VP'],3
+"The couple could n't be reached for comment and apparently have left Rockford , law enforcement officials report .","[array(['The', 'couple'], dtype=object)
+ array(['could', ""n't"", 'be', 'reached'], dtype=object)
+ array(['for'], dtype=object) array(['comment'], dtype=object)
+ array(['apparently', 'have', 'left'], dtype=object)
+ array(['Rockford'], dtype=object)
+ array(['law', 'enforcement', 'officials'], dtype=object)
+ array(['report'], dtype=object)]",['law' 'enforcement' 'officials'],['ADVP' 'VP' 'PP' 'NP'],3
+"At Fireman 's Fund Corp. , a spokesman said 142 claims were received in the first 24 hours after the quake , and the company is braced for as many as 5,000 claims from its 35,000 residential and 35,000 business policyholders in the affected area .","[array(['At'], dtype=object) array(['Fireman'], dtype=object)
+ array([""'s"", 'Fund', 'Corp.'], dtype=object)
+ array(['a', 'spokesman'], dtype=object) array(['said'], dtype=object)
+ array(['142', 'claims'], dtype=object)
+ array(['were', 'received'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'first', '24', 'hours'], dtype=object)
+ array(['after'], dtype=object) array(['the', 'quake'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array(['is', 'braced'], dtype=object) array(['for'], dtype=object)
+ array(['as', 'many', 'as', '5,000', 'claims'], dtype=object)
+ array(['from'], dtype=object)
+ array(['its', '35,000', 'residential', 'and', '35,000', 'business',
+        'policyholders'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'affected', 'area'], dtype=object)]",['in'],['NP' 'VP' 'SBAR' 'PP'],3
+"While some 100 million ounces of silver once held by Mr. Hunt and Middle Eastern associates are n't hanging over the market anymore , the price surge of 1979-80 precipitated an expansion of mine production and scrap recovery and encouraged silver consumers to economize on silver use , Mr. Edgar says .","[array(['While'], dtype=object)
+ array(['some', '100', 'million', 'ounces'], dtype=object)
+ array(['of'], dtype=object) array(['silver'], dtype=object)
+ array(['once', 'held'], dtype=object) array(['by'], dtype=object)
+ array(['Mr.', 'Hunt'], dtype=object)
+ array(['Middle', 'Eastern', 'associates'], dtype=object)
+ array(['are', ""n't"", 'hanging'], dtype=object)
+ array(['over'], dtype=object) array(['the', 'market'], dtype=object)
+ array(['anymore'], dtype=object)
+ array(['the', 'price', 'surge'], dtype=object)
+ array(['of'], dtype=object) array(['1979-80'], dtype=object)
+ array(['precipitated'], dtype=object)
+ array(['an', 'expansion'], dtype=object) array(['of'], dtype=object)
+ array(['mine', 'production'], dtype=object)
+ array(['scrap', 'recovery'], dtype=object)
+ array(['encouraged'], dtype=object)
+ array(['silver', 'consumers'], dtype=object)
+ array(['to', 'economize'], dtype=object) array(['on'], dtype=object)
+ array(['silver', 'use'], dtype=object)
+ array(['Mr.', 'Edgar'], dtype=object) array(['says'], dtype=object)]",['on'],['NP' 'ADVP' 'VP' 'PP'],3
+"The drug czar claimed that enforcement efforts are working here , `` albeit at a slower and more halting pace than we would like . ''","[array(['The', 'drug', 'czar'], dtype=object)
+ array(['claimed'], dtype=object) array(['that'], dtype=object)
+ array(['enforcement', 'efforts'], dtype=object)
+ array(['are', 'working'], dtype=object) array(['here'], dtype=object)
+ array(['albeit'], dtype=object) array(['at'], dtype=object)
+ array(['a', 'slower', 'and', 'more', 'halting', 'pace'], dtype=object)
+ array(['than'], dtype=object) array(['we'], dtype=object)
+ array(['would', 'like'], dtype=object)]",['that'],['NP' 'VP' 'ADVP' 'SBAR'],3
+"Individual investors , represented in the general-purpose and broker-dealer fund categories , pulled money from the stock market after its big drop last Friday and put the money into funds , said Jacob Dreyer , vice president and chief economist of the Institute .","[array(['Individual', 'investors'], dtype=object)
+ array(['represented'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'general-purpose', 'and', 'broker-dealer', 'fund',
+        'categories'], dtype=object)
+ array(['pulled'], dtype=object) array(['money'], dtype=object)
+ array(['from'], dtype=object)
+ array(['the', 'stock', 'market'], dtype=object)
+ array(['after'], dtype=object)
+ array(['its', 'big', 'drop'], dtype=object)
+ array(['last', 'Friday'], dtype=object) array(['put'], dtype=object)
+ array(['the', 'money'], dtype=object) array(['into'], dtype=object)
+ array(['funds'], dtype=object) array(['said'], dtype=object)
+ array(['Jacob', 'Dreyer'], dtype=object)
+ array(['vice', 'president'], dtype=object)
+ array(['chief', 'economist'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'Institute'], dtype=object)]",['chief' 'economist'],['ADVP' 'VP' 'PP' 'NP'],3
+"Excluding the gain , the company registered a modest 4.6 % increase for the quarter ended Sept. 29 to $ 113 million , or 87 cents a share , from the year-earlier $ 107.9 million , or 84 cents a share .","[array(['Excluding'], dtype=object) array(['the', 'gain'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array(['registered'], dtype=object)
+ array(['a', 'modest', '4.6', '%', 'increase'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'quarter'], dtype=object)
+ array(['ended'], dtype=object) array(['Sept.', '29'], dtype=object)
+ array(['to'], dtype=object) array(['$', '113', 'million'], dtype=object)
+ array(['87', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['from'], dtype=object)
+ array(['the', 'year-earlier', '$', '107.9', 'million'], dtype=object)
+ array(['84', 'cents'], dtype=object) array(['a', 'share'], dtype=object)]",['Sept.' '29'],['ADVP' 'VP' 'PP' 'NP'],3
+Ms. Moss said Ms. Levine secretly taped many conversations with her bosses at the Odeon in which they told her she was being fired as maitre 'd because she was pregnant .,"[array(['Ms.', 'Moss'], dtype=object) array(['said'], dtype=object)
+ array(['Ms.', 'Levine'], dtype=object) array(['secretly'], dtype=object)
+ array(['taped'], dtype=object)
+ array(['many', 'conversations'], dtype=object)
+ array(['with'], dtype=object) array(['her', 'bosses'], dtype=object)
+ array(['at'], dtype=object) array(['the', 'Odeon'], dtype=object)
+ array(['in'], dtype=object) array(['which'], dtype=object)
+ array(['they'], dtype=object) array(['told'], dtype=object)
+ array(['her'], dtype=object) array(['she'], dtype=object)
+ array(['was', 'being', 'fired'], dtype=object)
+ array(['as'], dtype=object) array(['maitre', ""'d""], dtype=object)
+ array(['because'], dtype=object) array(['she'], dtype=object)
+ array(['was'], dtype=object) array(['pregnant'], dtype=object)]",['with'],['VP' 'ADVP' 'NP' 'PP'],3
+But some bond market analysts said that could quickly change if property casualty insurance companies scramble to sell portions of their municipal portfolios to raise cash to pay damage claims .,"[array(['some', 'bond', 'market', 'analysts'], dtype=object)
+ array(['said'], dtype=object) array(['that'], dtype=object)
+ array(['could', 'quickly', 'change'], dtype=object)
+ array(['if'], dtype=object)
+ array(['property', 'casualty', 'insurance', 'companies'], dtype=object)
+ array(['scramble', 'to', 'sell'], dtype=object)
+ array(['portions'], dtype=object) array(['of'], dtype=object)
+ array(['their', 'municipal', 'portfolios'], dtype=object)
+ array(['to', 'raise'], dtype=object) array(['cash'], dtype=object)
+ array(['to', 'pay'], dtype=object)
+ array(['damage', 'claims'], dtype=object)]",['could' 'quickly' 'change'],['PP' 'NP' 'ADVP' 'VP'],3
+"For one thing , according to Mr. Daly , the producers requested a release in advance .","[array(['For'], dtype=object) array(['one', 'thing'], dtype=object)
+ array(['according'], dtype=object) array(['to'], dtype=object)
+ array(['Mr.', 'Daly'], dtype=object)
+ array(['the', 'producers'], dtype=object)
+ array(['requested'], dtype=object) array(['a', 'release'], dtype=object)
+ array(['in'], dtype=object) array(['advance'], dtype=object)]",['in'],['NP' 'VP' 'ADJP' 'PP'],3
+Mr. Guber and Mr. Peters claim they have an oral agreement with Warner executives that allows them to terminate their contract should the opportunity to run a major studio arise .,"[array(['Mr.', 'Guber'], dtype=object)
+ array(['Mr.', 'Peters'], dtype=object) array(['claim'], dtype=object)
+ array(['they'], dtype=object) array(['have'], dtype=object)
+ array(['an', 'oral', 'agreement'], dtype=object)
+ array(['with'], dtype=object)
+ array(['Warner', 'executives'], dtype=object)
+ array(['that'], dtype=object) array(['allows'], dtype=object)
+ array(['them'], dtype=object) array(['to', 'terminate'], dtype=object)
+ array(['their', 'contract'], dtype=object)
+ array(['the', 'opportunity'], dtype=object)
+ array(['to', 'run'], dtype=object)
+ array(['a', 'major', 'studio'], dtype=object)
+ array(['arise'], dtype=object)]",['claim'],['NP' 'PP' 'SBAR' 'VP'],3
+"An article in the World Business Report of Sept. 22 editions incorrectly referred to his father , Grand Duke Jean , as the crown prince .","[array(['An', 'article'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'World', 'Business', 'Report'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Sept.', '22', 'editions'], dtype=object)
+ array(['incorrectly', 'referred'], dtype=object)
+ array(['to'], dtype=object) array(['his', 'father'], dtype=object)
+ array(['Grand', 'Duke', 'Jean'], dtype=object)
+ array(['as'], dtype=object)
+ array(['the', 'crown', 'prince'], dtype=object)]",['in'],['VP' 'ADVP' 'NP' 'PP'],3
+CERTIFICATES OF DEPOSIT : 8.05 % one month ; 8.02 % two months ; 8 % three months ; 7.98 % six months ; 7.95 % one year .,"[array(['CERTIFICATES'], dtype=object) array(['OF'], dtype=object)
+ array(['DEPOSIT'], dtype=object) array(['8.05', '%'], dtype=object)
+ array(['one', 'month'], dtype=object) array(['8.02', '%'], dtype=object)
+ array(['two', 'months'], dtype=object) array(['8', '%'], dtype=object)
+ array(['three', 'months'], dtype=object)
+ array(['7.98', '%'], dtype=object) array(['six', 'months'], dtype=object)
+ array(['7.95', '%'], dtype=object) array(['one', 'year'], dtype=object)]",['8.05' '%'],['VP' 'SBAR' 'PP' 'NP'],3
+"American International Group climbed 4 to 106 5\/8 , General Re rose 3 1\/8 to 89 5\/8 , Kemper added 2 1\/2 to 48 , AON went up 1 3\/8 to 36 and Chubb rose 1 1\/4 to 82 1\/4 .","[array(['American', 'International', 'Group'], dtype=object)
+ array(['climbed'], dtype=object) array(['4'], dtype=object)
+ array(['to'], dtype=object) array(['106', '5\\/8'], dtype=object)
+ array(['General', 'Re'], dtype=object) array(['rose'], dtype=object)
+ array(['3', '1\\/8'], dtype=object) array(['to'], dtype=object)
+ array(['89', '5\\/8'], dtype=object) array(['Kemper'], dtype=object)
+ array(['added'], dtype=object) array(['2', '1\\/2'], dtype=object)
+ array(['to'], dtype=object) array(['48'], dtype=object)
+ array(['AON'], dtype=object) array(['went'], dtype=object)
+ array(['up'], dtype=object) array(['1', '3\\/8'], dtype=object)
+ array(['to'], dtype=object) array(['36'], dtype=object)
+ array(['Chubb'], dtype=object) array(['rose'], dtype=object)
+ array(['1', '1\\/4'], dtype=object) array(['to'], dtype=object)
+ array(['82', '1\\/4'], dtype=object)]",['3' '1\\/8'],['PP' 'ADVP' 'ADJP' 'NP'],3
+"`` There 's still a lot of pressure on rates in both rail and truck , '' said Gerard McCullough , lecturer in transportation at Massachusetts Institute of Technology .","[array(['There'], dtype=object) array([""'s""], dtype=object)
+ array(['still'], dtype=object) array(['a', 'lot'], dtype=object)
+ array(['of'], dtype=object) array(['pressure'], dtype=object)
+ array(['on'], dtype=object) array(['rates'], dtype=object)
+ array(['in'], dtype=object)
+ array(['both', 'rail', 'and', 'truck'], dtype=object)
+ array(['said'], dtype=object)
+ array(['Gerard', 'McCullough'], dtype=object)
+ array(['lecturer'], dtype=object) array(['in'], dtype=object)
+ array(['transportation'], dtype=object) array(['at'], dtype=object)
+ array(['Massachusetts', 'Institute'], dtype=object)
+ array(['of'], dtype=object) array(['Technology'], dtype=object)]",['transportation'],['ADVP' 'PP' 'VP' 'NP'],3
+"In Mexico , the analyst added , employees at the Cananea mine , who have been out of work since late August when the mine was declared bankrupt by the government , accepted a 35 % cut in the 3,800-man work force .","[array(['In'], dtype=object) array(['Mexico'], dtype=object)
+ array(['the', 'analyst'], dtype=object) array(['added'], dtype=object)
+ array(['employees'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'Cananea', 'mine'], dtype=object)
+ array(['who'], dtype=object) array(['have', 'been'], dtype=object)
+ array(['out'], dtype=object) array(['of'], dtype=object)
+ array(['work'], dtype=object) array(['since'], dtype=object)
+ array(['late', 'August'], dtype=object) array(['when'], dtype=object)
+ array(['the', 'mine'], dtype=object)
+ array(['was', 'declared'], dtype=object)
+ array(['bankrupt'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'government'], dtype=object)
+ array(['accepted'], dtype=object)
+ array(['a', '35', '%', 'cut'], dtype=object) array(['in'], dtype=object)
+ array(['the', '3,800-man', 'work', 'force'], dtype=object)]","['the' '3,800-man' 'work' 'force']",['VP' 'ADJP' 'PP' 'NP'],3
+All of this talk is antithetical to the Tax Reform Act of 1986 .,"[array(['All'], dtype=object) array(['of'], dtype=object)
+ array(['this', 'talk'], dtype=object) array(['is'], dtype=object)
+ array(['antithetical'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'Tax', 'Reform', 'Act'], dtype=object)
+ array(['of'], dtype=object) array(['1986'], dtype=object)]",['of'],['VP' 'ADVP' 'NP' 'PP'],3
+It has an unusual kind of independence from elected officials and still has authority over one of the most powerful of government 's instruments -- the control of the money supply .,"[array(['It'], dtype=object) array(['has'], dtype=object)
+ array(['an', 'unusual', 'kind'], dtype=object)
+ array(['of'], dtype=object) array(['independence'], dtype=object)
+ array(['from'], dtype=object)
+ array(['elected', 'officials'], dtype=object)
+ array(['still', 'has'], dtype=object) array(['authority'], dtype=object)
+ array(['over'], dtype=object) array(['one'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'most', 'powerful'], dtype=object)
+ array(['of'], dtype=object) array(['government'], dtype=object)
+ array([""'s"", 'instruments'], dtype=object)
+ array(['the', 'control'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'money', 'supply'], dtype=object)]",['elected' 'officials'],['PP' 'VP' 'ADVP' 'NP'],3
+"Plans to dissolve many of the trade barriers within Europe in 1992 creates significant opportunities for the company , he said , particularly since Western Digital already manufactures there .","[array(['Plans'], dtype=object) array(['to', 'dissolve'], dtype=object)
+ array(['many'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'trade', 'barriers'], dtype=object)
+ array(['within'], dtype=object) array(['Europe'], dtype=object)
+ array(['in'], dtype=object) array(['1992'], dtype=object)
+ array(['creates'], dtype=object)
+ array(['significant', 'opportunities'], dtype=object)
+ array(['for'], dtype=object) array(['the', 'company'], dtype=object)
+ array(['he'], dtype=object) array(['said'], dtype=object)
+ array(['particularly'], dtype=object) array(['since'], dtype=object)
+ array(['Western', 'Digital'], dtype=object)
+ array(['already'], dtype=object) array(['manufactures'], dtype=object)
+ array(['there'], dtype=object)]",['of'],['VP' 'NP' 'SBAR' 'PP'],3
+"Some provisions would let me collect a percentage of the policy 's face value to pay for long-term care such as nursing-home stays ; others would allow payments for catastrophic illnesses and conditions such as cancer , heart attarcks , renal failure and kidney transplants .","[array(['Some', 'provisions'], dtype=object)
+ array(['would', 'let'], dtype=object) array(['me'], dtype=object)
+ array(['collect'], dtype=object) array(['a', 'percentage'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'policy'], dtype=object)
+ array([""'s"", 'face', 'value'], dtype=object)
+ array(['to', 'pay'], dtype=object) array(['for'], dtype=object)
+ array(['long-term', 'care'], dtype=object)
+ array(['such', 'as'], dtype=object)
+ array(['nursing-home', 'stays'], dtype=object)
+ array(['others'], dtype=object) array(['would', 'allow'], dtype=object)
+ array(['payments'], dtype=object) array(['for'], dtype=object)
+ array(['catastrophic', 'illnesses', 'and', 'conditions'], dtype=object)
+ array(['such', 'as'], dtype=object) array(['cancer'], dtype=object)
+ array(['heart', 'attarcks'], dtype=object)
+ array(['renal', 'failure'], dtype=object)
+ array(['kidney', 'transplants'], dtype=object)]",['nursing-home' 'stays'],['VP' 'ADVP' 'PP' 'NP'],3
+"State laws previously used as a yardstick minimum percentages of income -- usually half -- that had to be spent on the program rather than overhead , but these have been overturned by the U.S. Supreme Court .","[array(['State', 'laws'], dtype=object)
+ array(['previously'], dtype=object) array(['used'], dtype=object)
+ array(['as'], dtype=object) array(['a', 'yardstick'], dtype=object)
+ array(['minimum', 'percentages'], dtype=object)
+ array(['of'], dtype=object) array(['income'], dtype=object)
+ array(['usually'], dtype=object) array(['half'], dtype=object)
+ array(['that'], dtype=object)
+ array(['had', 'to', 'be', 'spent'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'program'], dtype=object)
+ array(['rather', 'than'], dtype=object) array(['overhead'], dtype=object)
+ array(['these'], dtype=object)
+ array(['have', 'been', 'overturned'], dtype=object)
+ array(['by'], dtype=object)
+ array(['the', 'U.S.', 'Supreme', 'Court'], dtype=object)]",['that'],['VP' 'SBAR' 'PP' 'NP'],3
+"For their part , the group of Democrats are working on a plan that , like the Packwood proposal , would grant larger exclusions to assets the longer they were held by individuals and companies .","[array(['For'], dtype=object) array(['their', 'part'], dtype=object)
+ array(['the', 'group'], dtype=object) array(['of'], dtype=object)
+ array(['Democrats'], dtype=object)
+ array(['are', 'working'], dtype=object) array(['on'], dtype=object)
+ array(['a', 'plan'], dtype=object) array(['that'], dtype=object)
+ array(['like'], dtype=object)
+ array(['the', 'Packwood', 'proposal'], dtype=object)
+ array(['would', 'grant'], dtype=object)
+ array(['larger', 'exclusions'], dtype=object) array(['to'], dtype=object)
+ array(['assets'], dtype=object) array(['the', 'longer'], dtype=object)
+ array(['they'], dtype=object) array(['were', 'held'], dtype=object)
+ array(['by'], dtype=object)
+ array(['individuals', 'and', 'companies'], dtype=object)]",['assets'],['PP' 'VP' 'ADJP' 'NP'],3
+"And considering the extra cost of such provisions , some figure that people interested in , say , paying for extended nursing-home care would be better off just buying a separate policy that provides it .","[array(['considering'], dtype=object)
+ array(['the', 'extra', 'cost'], dtype=object) array(['of'], dtype=object)
+ array(['such', 'provisions'], dtype=object) array(['some'], dtype=object)
+ array(['figure'], dtype=object) array(['that'], dtype=object)
+ array(['people'], dtype=object) array(['interested'], dtype=object)
+ array(['in'], dtype=object) array(['say'], dtype=object)
+ array(['paying'], dtype=object) array(['for'], dtype=object)
+ array(['extended', 'nursing-home', 'care'], dtype=object)
+ array(['would', 'be'], dtype=object)
+ array(['better', 'off'], dtype=object) array(['just'], dtype=object)
+ array(['buying'], dtype=object)
+ array(['a', 'separate', 'policy'], dtype=object)
+ array(['that'], dtype=object) array(['provides'], dtype=object)
+ array(['it'], dtype=object)]",['provides'],['NP' 'ADJP' 'ADVP' 'VP'],3
+"Since Mr. Shevardnadze 's proposals followed discussions with Mr. Baker , speculations arose that the Bush administration was seeking an accommodation with the Soviets in Central America .","[array(['Since'], dtype=object)
+ array(['Mr.', 'Shevardnadze'], dtype=object)
+ array([""'s"", 'proposals'], dtype=object)
+ array(['followed'], dtype=object) array(['discussions'], dtype=object)
+ array(['with'], dtype=object) array(['Mr.', 'Baker'], dtype=object)
+ array(['speculations'], dtype=object) array(['arose'], dtype=object)
+ array(['that'], dtype=object)
+ array(['the', 'Bush', 'administration'], dtype=object)
+ array(['was', 'seeking'], dtype=object)
+ array(['an', 'accommodation'], dtype=object)
+ array(['with'], dtype=object) array(['the', 'Soviets'], dtype=object)
+ array(['in'], dtype=object) array(['Central', 'America'], dtype=object)]",['discussions'],['PP' 'VP' 'PRT' 'NP'],3
+"Net was up 69 % from $ 15.1 million , or 57 cents a share , last year .","[array(['Net'], dtype=object) array(['was'], dtype=object)
+ array(['up'], dtype=object) array(['69', '%'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '15.1', 'million'], dtype=object)
+ array(['57', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['last', 'year'], dtype=object)]",['57' 'cents'],['PP' 'VP' 'ADVP' 'NP'],3
+"Put option on March 31 , 1992 , at an indicated 109 to yield 3.865 % .","[array(['Put', 'option'], dtype=object) array(['on'], dtype=object)
+ array(['March', '31', ',', '1992'], dtype=object)
+ array(['at'], dtype=object)
+ array(['an', 'indicated', '109'], dtype=object)
+ array(['to', 'yield'], dtype=object) array(['3.865', '%'], dtype=object)]",['to' 'yield'],['NP' 'ADVP' 'PP' 'VP'],3
+Dayton Hudson said it accepted all odd-lot shares tendered at or below the final $ 62.875 price ; the preliminary proration factor for other shares tendered at or below the final price is 98 % .,"[array(['Dayton', 'Hudson'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object) array(['accepted'], dtype=object)
+ array(['all', 'odd-lot', 'shares'], dtype=object)
+ array(['tendered'], dtype=object)
+ array(['at', 'or', 'below'], dtype=object)
+ array(['the', 'final', '$', '62.875', 'price'], dtype=object)
+ array(['the', 'preliminary', 'proration', 'factor'], dtype=object)
+ array(['for'], dtype=object) array(['other', 'shares'], dtype=object)
+ array(['tendered'], dtype=object)
+ array(['at', 'or', 'below'], dtype=object)
+ array(['the', 'final', 'price'], dtype=object)
+ array(['is'], dtype=object) array(['98', '%'], dtype=object)]",['98' '%'],['VP' 'PP' 'ADJP' 'NP'],3
+"But membership in the International Association of Financial Planners -LRB- IAFP -RRB- , the industry 's biggest trade group , is still nearly triple what it was in 1980 , and it 's believed that the ranks of planners who do n't belong to any group have soared as well .","[array(['membership'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'International', 'Association'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Financial', 'Planners'], dtype=object)
+ array(['IAFP'], dtype=object) array(['the', 'industry'], dtype=object)
+ array([""'s"", 'biggest', 'trade', 'group'], dtype=object)
+ array(['is'], dtype=object) array(['still'], dtype=object)
+ array(['nearly', 'triple'], dtype=object) array(['what'], dtype=object)
+ array(['it'], dtype=object) array(['was'], dtype=object)
+ array(['in'], dtype=object) array(['1980'], dtype=object)
+ array(['it'], dtype=object) array([""'s"", 'believed'], dtype=object)
+ array(['that'], dtype=object) array(['the', 'ranks'], dtype=object)
+ array(['of'], dtype=object) array(['planners'], dtype=object)
+ array(['who'], dtype=object) array(['do', ""n't"", 'belong'], dtype=object)
+ array(['to'], dtype=object) array(['any', 'group'], dtype=object)
+ array(['have', 'soared'], dtype=object)
+ array(['as', 'well'], dtype=object)]",['of'],['VP' 'NP' 'ADVP' 'PP'],3
+Analysts expect the spirits operations and some California vineyards that also are being sold to fetch about # 500 million -LRB- $ 788.8 million -RRB- .,"[array(['Analysts'], dtype=object) array(['expect'], dtype=object)
+ array(['the', 'spirits', 'operations'], dtype=object)
+ array(['some', 'California', 'vineyards'], dtype=object)
+ array(['that'], dtype=object) array(['also'], dtype=object)
+ array(['are', 'being', 'sold'], dtype=object)
+ array(['to', 'fetch'], dtype=object)
+ array(['about', '#', '500', 'million'], dtype=object)
+ array(['$', '788.8', 'million'], dtype=object)]",['that'],['ADJP' 'VP' 'PP' 'NP'],3
+"In the early stage of checking people with incomes exceeding $ 500,000 who were filing nonresident returns , it squeezed $ 7.5 million out of a man who was posing as a Florida resident .","[array(['In'], dtype=object)
+ array(['the', 'early', 'stage'], dtype=object)
+ array(['of'], dtype=object) array(['checking'], dtype=object)
+ array(['people'], dtype=object) array(['with'], dtype=object)
+ array(['incomes'], dtype=object) array(['exceeding'], dtype=object)
+ array(['$', '500,000'], dtype=object) array(['who'], dtype=object)
+ array(['were', 'filing'], dtype=object)
+ array(['nonresident', 'returns'], dtype=object)
+ array(['it'], dtype=object) array(['squeezed'], dtype=object)
+ array(['$', '7.5', 'million'], dtype=object) array(['out'], dtype=object)
+ array(['of'], dtype=object) array(['a', 'man'], dtype=object)
+ array(['who'], dtype=object) array(['was', 'posing'], dtype=object)
+ array(['as'], dtype=object)
+ array(['a', 'Florida', 'resident'], dtype=object)]",['the' 'early' 'stage'],['PRT' 'VP' 'PP' 'NP'],3
+"The Fed serves as a middleman for banks , taking checks from one bank and sending them to another , an operation that it handled smoothly Tuesday night after the quake .","[array(['The', 'Fed'], dtype=object) array(['serves'], dtype=object)
+ array(['as'], dtype=object) array(['a', 'middleman'], dtype=object)
+ array(['for'], dtype=object) array(['banks'], dtype=object)
+ array(['taking'], dtype=object) array(['checks'], dtype=object)
+ array(['from'], dtype=object) array(['one', 'bank'], dtype=object)
+ array(['sending'], dtype=object) array(['them'], dtype=object)
+ array(['to'], dtype=object) array(['another'], dtype=object)
+ array(['an', 'operation'], dtype=object) array(['that'], dtype=object)
+ array(['it'], dtype=object) array(['handled'], dtype=object)
+ array(['smoothly'], dtype=object)
+ array(['Tuesday', 'night'], dtype=object) array(['after'], dtype=object)
+ array(['the', 'quake'], dtype=object)]",['the' 'quake'],['ADVP' 'ADJP' 'PP' 'NP'],3
+The resolution also comes at a time when Turkey has been seeking help from the United States in resolving its Bulgarian emigration controversy and pursuing democratic reforms that may lead to membership in the European Community .,"[array(['The', 'resolution'], dtype=object) array(['also'], dtype=object)
+ array(['comes'], dtype=object) array(['at'], dtype=object)
+ array(['a', 'time'], dtype=object) array(['when'], dtype=object)
+ array(['Turkey'], dtype=object)
+ array(['has', 'been', 'seeking'], dtype=object)
+ array(['help'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'United', 'States'], dtype=object)
+ array(['in'], dtype=object) array(['resolving'], dtype=object)
+ array(['its', 'Bulgarian', 'emigration', 'controversy'], dtype=object)
+ array(['pursuing'], dtype=object)
+ array(['democratic', 'reforms'], dtype=object)
+ array(['that'], dtype=object) array(['may', 'lead'], dtype=object)
+ array(['to'], dtype=object) array(['membership'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'European', 'Community'], dtype=object)]",['comes'],['NP' 'PP' 'SBAR' 'VP'],3
+One sign that more Soviet purchases are possible is that U.S. grain companies yesterday bought an unusually large amount of corn futures contracts .,"[array(['One', 'sign'], dtype=object) array(['that'], dtype=object)
+ array(['more', 'Soviet', 'purchases'], dtype=object)
+ array(['are'], dtype=object) array(['possible'], dtype=object)
+ array(['is'], dtype=object)
+ array(['U.S.', 'grain', 'companies'], dtype=object)
+ array(['yesterday'], dtype=object) array(['bought'], dtype=object)
+ array(['an', 'unusually', 'large', 'amount'], dtype=object)
+ array(['of'], dtype=object)
+ array(['corn', 'futures', 'contracts'], dtype=object)]",['is'],['PP' 'NP' 'ADVP' 'VP'],3
+"However , with airline stocks cratering , he might not get a very good price for his shares , traders say .","[array(['However'], dtype=object) array(['with'], dtype=object)
+ array(['airline', 'stocks'], dtype=object)
+ array(['cratering'], dtype=object) array(['he'], dtype=object)
+ array(['might', 'not', 'get'], dtype=object)
+ array(['a', 'very', 'good', 'price'], dtype=object)
+ array(['for'], dtype=object) array(['his', 'shares'], dtype=object)
+ array(['traders'], dtype=object) array(['say'], dtype=object)]",['with'],['NP' 'SBAR' 'VP' 'PP'],3
+"WHEN HURRICANE Hugo careened through the Caribbean and the Atlantic coast states , it downed electric and telephone lines , shot coconuts through cottage rooftops , shattered windows and uprooted thousands of lives .","[array(['WHEN'], dtype=object) array(['HURRICANE', 'Hugo'], dtype=object)
+ array(['careened'], dtype=object) array(['through'], dtype=object)
+ array(['the', 'Caribbean'], dtype=object)
+ array(['the', 'Atlantic', 'coast', 'states'], dtype=object)
+ array(['it'], dtype=object) array(['downed'], dtype=object)
+ array(['electric', 'and', 'telephone', 'lines'], dtype=object)
+ array(['shot'], dtype=object) array(['coconuts'], dtype=object)
+ array(['through'], dtype=object)
+ array(['cottage', 'rooftops'], dtype=object)
+ array(['shattered'], dtype=object) array(['windows'], dtype=object)
+ array(['uprooted'], dtype=object) array(['thousands'], dtype=object)
+ array(['of'], dtype=object) array(['lives'], dtype=object)]",['through'],['ADVP' 'VP' 'NP' 'PP'],3
+"In Illinois , lawmakers will vote before next spring on legislation requiring physicians to perform tests on fetuses at 20 weeks to determine their gestational age , weight and lung maturity along with a provision requiring that , if fetuses survive an abortion , a second doctor must be on hand to help it survive .","[array(['In'], dtype=object) array(['Illinois'], dtype=object)
+ array(['lawmakers'], dtype=object) array(['will', 'vote'], dtype=object)
+ array(['before'], dtype=object) array(['next', 'spring'], dtype=object)
+ array(['on'], dtype=object) array(['legislation'], dtype=object)
+ array(['requiring'], dtype=object) array(['physicians'], dtype=object)
+ array(['to', 'perform'], dtype=object) array(['tests'], dtype=object)
+ array(['on'], dtype=object) array(['fetuses'], dtype=object)
+ array(['at'], dtype=object) array(['20', 'weeks'], dtype=object)
+ array(['to', 'determine'], dtype=object)
+ array(['their', 'gestational', 'age', ',', 'weight', 'and', 'lung',
+        'maturity'], dtype=object)
+ array(['along'], dtype=object) array(['with'], dtype=object)
+ array(['a', 'provision'], dtype=object)
+ array(['requiring'], dtype=object) array(['that'], dtype=object)
+ array(['if'], dtype=object) array(['fetuses'], dtype=object)
+ array(['survive'], dtype=object) array(['an', 'abortion'], dtype=object)
+ array(['a', 'second', 'doctor'], dtype=object)
+ array(['must', 'be'], dtype=object) array(['on'], dtype=object)
+ array(['hand'], dtype=object) array(['to', 'help'], dtype=object)
+ array(['it'], dtype=object) array(['survive'], dtype=object)]",['if'],['PP' 'NP' 'VP' 'SBAR'],3
+"In August , rates on 30-year fixed-rate mortgages started creeping up a bit , but they inched down again through September .","[array(['In'], dtype=object) array(['August'], dtype=object)
+ array(['rates'], dtype=object) array(['on'], dtype=object)
+ array(['30-year', 'fixed-rate', 'mortgages'], dtype=object)
+ array(['started', 'creeping'], dtype=object) array(['up'], dtype=object)
+ array(['a', 'bit'], dtype=object) array(['they'], dtype=object)
+ array(['inched'], dtype=object) array(['down'], dtype=object)
+ array(['again'], dtype=object) array(['through'], dtype=object)
+ array(['September'], dtype=object)]",['September'],['PP' 'PRT' 'ADJP' 'NP'],3
+"Continental , a unit of Texas Air Corp. , slashed the size of its note offering from $ 150 million to $ 71 million .","[array(['Continental'], dtype=object) array(['a', 'unit'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Texas', 'Air', 'Corp.'], dtype=object)
+ array(['slashed'], dtype=object) array(['the', 'size'], dtype=object)
+ array(['of'], dtype=object)
+ array(['its', 'note', 'offering'], dtype=object)
+ array(['from'], dtype=object)
+ array(['$', '150', 'million'], dtype=object) array(['to'], dtype=object)
+ array(['$', '71', 'million'], dtype=object)]",['a' 'unit'],['VP' 'PP' 'CONJP' 'NP'],3
+"So if anything happened to me , I 'd want to leave behind enough so that my 33-year-old husband would be able to pay off the mortgage and some other debts -LRB- though not , I admit , enough to put any potential second wife in the lap of luxury -RRB- .","[array(['if'], dtype=object) array(['anything'], dtype=object)
+ array(['happened'], dtype=object) array(['to'], dtype=object)
+ array(['me'], dtype=object) array(['I'], dtype=object)
+ array([""'d"", 'want', 'to', 'leave'], dtype=object)
+ array(['behind'], dtype=object) array(['enough'], dtype=object)
+ array(['so', 'that'], dtype=object)
+ array(['my', '33-year-old', 'husband'], dtype=object)
+ array(['would', 'be'], dtype=object) array(['able'], dtype=object)
+ array(['to', 'pay'], dtype=object) array(['off'], dtype=object)
+ array(['the', 'mortgage'], dtype=object)
+ array(['some', 'other', 'debts'], dtype=object)
+ array(['I'], dtype=object) array(['admit'], dtype=object)
+ array(['enough'], dtype=object) array(['to', 'put'], dtype=object)
+ array(['any', 'potential', 'second', 'wife'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'lap'], dtype=object)
+ array(['of'], dtype=object) array(['luxury'], dtype=object)]",['enough'],['VP' 'PP' 'SBAR' 'NP'],3
+"But , given what might have happened to the fragile parts that are at the heart of the microelectronics business , the bulk of Valley companies seemed to be just about shouting hosannas .","[array(['given'], dtype=object) array(['what'], dtype=object)
+ array(['might', 'have', 'happened'], dtype=object)
+ array(['to'], dtype=object)
+ array(['the', 'fragile', 'parts'], dtype=object)
+ array(['that'], dtype=object) array(['are'], dtype=object)
+ array(['at'], dtype=object) array(['the', 'heart'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'microelectronics', 'business'], dtype=object)
+ array(['the', 'bulk'], dtype=object) array(['of'], dtype=object)
+ array(['Valley', 'companies'], dtype=object)
+ array(['seemed', 'to', 'be', 'just', 'about', 'shouting'], dtype=object)
+ array(['hosannas'], dtype=object)]",['might' 'have' 'happened'],['ADJP' 'PP' 'NP' 'VP'],3
+The Peruvian mineral concern 's $ 251 million claim stems from 1988 jury award in a case stemming from the brothers ' alleged attempts to corner the 1979-80 silver market .,"[array(['The', 'Peruvian', 'mineral', 'concern'], dtype=object)
+ array([""'s""], dtype=object) array(['$'], dtype=object)
+ array(['claim'], dtype=object) array(['stems'], dtype=object)
+ array(['from'], dtype=object)
+ array(['1988', 'jury', 'award'], dtype=object)
+ array(['in'], dtype=object) array(['a', 'case'], dtype=object)
+ array(['stemming'], dtype=object) array(['from'], dtype=object)
+ array(['the', 'brothers'], dtype=object)
+ array([""'"", 'alleged', 'attempts'], dtype=object)
+ array(['to', 'corner'], dtype=object)
+ array(['the', '1979-80', 'silver', 'market'], dtype=object)]",['stems'],['NP' 'ADVP' 'ADJP' 'VP'],3
+A letter in the New England Journal of Medicine notes that while technology offers `` almost endless hope ... when to stop has become a difficult question ... . '',"[array(['A', 'letter'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'New', 'England', 'Journal'], dtype=object)
+ array(['of'], dtype=object) array(['Medicine'], dtype=object)
+ array(['notes'], dtype=object) array(['that'], dtype=object)
+ array(['while'], dtype=object) array(['technology'], dtype=object)
+ array(['offers'], dtype=object)
+ array(['almost', 'endless', 'hope'], dtype=object)
+ array(['when'], dtype=object) array(['to', 'stop'], dtype=object)
+ array(['has', 'become'], dtype=object)
+ array(['a', 'difficult', 'question'], dtype=object)]",['almost' 'endless' 'hope'],['VP' 'PP' 'ADVP' 'NP'],3
+"`` I do n't mind the competition inside the country , '' she says .","[array(['I'], dtype=object) array(['do', ""n't"", 'mind'], dtype=object)
+ array(['the', 'competition'], dtype=object)
+ array(['inside'], dtype=object) array(['the', 'country'], dtype=object)
+ array(['she'], dtype=object) array(['says'], dtype=object)]",['she'],['VP' 'PP' 'ADVP' 'NP'],3
+"But here is where the entrepreneur made a very risky bet , and where society was maybe foolish to look the other way .","[array(['here'], dtype=object) array(['is'], dtype=object)
+ array(['where'], dtype=object)
+ array(['the', 'entrepreneur'], dtype=object)
+ array(['made'], dtype=object)
+ array(['a', 'very', 'risky', 'bet'], dtype=object)
+ array(['where'], dtype=object) array(['society'], dtype=object)
+ array(['was'], dtype=object) array(['maybe'], dtype=object)
+ array(['foolish'], dtype=object) array(['to', 'look'], dtype=object)
+ array(['the', 'other', 'way'], dtype=object)]",['made'],['PP' 'NP' 'ADJP' 'VP'],3
+"The Egg King carries written instructions to break only high-grade eggs that have been properly sanitized and , as an added precaution , to use the eggs only in products that will be cooked enough to kill bacteria .","[array(['The', 'Egg', 'King'], dtype=object)
+ array(['carries'], dtype=object)
+ array(['written', 'instructions'], dtype=object)
+ array(['to', 'break'], dtype=object)
+ array(['only', 'high-grade', 'eggs'], dtype=object)
+ array(['that'], dtype=object)
+ array(['have', 'been', 'properly', 'sanitized'], dtype=object)
+ array(['as'], dtype=object)
+ array(['an', 'added', 'precaution'], dtype=object)
+ array([',', 'to'], dtype=object) array(['use'], dtype=object)
+ array(['the', 'eggs'], dtype=object) array(['only'], dtype=object)
+ array(['in'], dtype=object) array(['products'], dtype=object)
+ array(['that'], dtype=object)
+ array(['will', 'be', 'cooked'], dtype=object)
+ array(['enough'], dtype=object) array(['to', 'kill'], dtype=object)
+ array(['bacteria'], dtype=object)]",['written' 'instructions'],['SBAR' 'ADVP' 'VP' 'NP'],3
+"`` Regardless of whether one supports or opposes the right to an abortion , '' Mr. Freind argues , `` it is virtually impossible for any rational human being to disagree with the concept that a woman has the right to have all of the appropriate materials and advice made available to her before she makes a decision which , one way or the other , might remain with her for the rest of her life . ''","[array(['Regardless'], dtype=object) array(['of'], dtype=object)
+ array(['whether'], dtype=object) array(['one'], dtype=object)
+ array(['supports', 'or', 'opposes'], dtype=object)
+ array(['the', 'right'], dtype=object) array(['to'], dtype=object)
+ array(['an', 'abortion'], dtype=object)
+ array(['Mr.', 'Freind'], dtype=object) array(['argues'], dtype=object)
+ array(['it'], dtype=object) array(['is'], dtype=object)
+ array(['virtually', 'impossible'], dtype=object)
+ array(['for'], dtype=object)
+ array(['any', 'rational', 'human', 'being'], dtype=object)
+ array(['to', 'disagree'], dtype=object) array(['with'], dtype=object)
+ array(['the', 'concept'], dtype=object) array(['that'], dtype=object)
+ array(['a', 'woman'], dtype=object) array(['has'], dtype=object)
+ array(['the', 'right'], dtype=object) array(['to', 'have'], dtype=object)
+ array(['all'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'appropriate', 'materials', 'and', 'advice'], dtype=object)
+ array(['made'], dtype=object) array(['available'], dtype=object)
+ array(['to'], dtype=object) array(['her'], dtype=object)
+ array(['before'], dtype=object) array(['she'], dtype=object)
+ array(['makes'], dtype=object) array(['a', 'decision'], dtype=object)
+ array(['which'], dtype=object) array(['one', 'way'], dtype=object)
+ array(['the', 'other'], dtype=object)
+ array(['might', 'remain'], dtype=object) array(['with'], dtype=object)
+ array(['her'], dtype=object) array(['for'], dtype=object)
+ array(['the', 'rest'], dtype=object) array(['of'], dtype=object)
+ array(['her', 'life'], dtype=object)]",['to'],['NP' 'VP' 'ADJP' 'PP'],3
+"`` We 're strongly recommending that anyone who has eaten in the cafeteria this month have the shot , '' Mr. Mattausch added , `` and that means virtually everyone who works here .","[array(['We'], dtype=object)
+ array([""'re"", 'strongly', 'recommending'], dtype=object)
+ array(['that'], dtype=object) array(['anyone'], dtype=object)
+ array(['who'], dtype=object) array(['has', 'eaten'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'cafeteria'], dtype=object)
+ array(['this', 'month'], dtype=object) array(['have'], dtype=object)
+ array(['the', 'shot'], dtype=object)
+ array(['Mr.', 'Mattausch'], dtype=object) array(['added'], dtype=object)
+ array(['that'], dtype=object) array(['means'], dtype=object)
+ array(['virtually', 'everyone'], dtype=object)
+ array(['who'], dtype=object) array(['works'], dtype=object)
+ array(['here'], dtype=object)]",['anyone'],['VP' 'SBAR' 'ADVP' 'NP'],3
+"But though `` people in town may ask why Guber needs Peters , it 's good to have a partner , and obviously the chemistry works , '' says Steven Tisch , a producer who once worked for Mr. Guber .","[array(['though'], dtype=object) array(['people'], dtype=object)
+ array(['in'], dtype=object) array(['town'], dtype=object)
+ array(['may', 'ask'], dtype=object) array(['why'], dtype=object)
+ array(['Guber'], dtype=object) array(['needs'], dtype=object)
+ array(['Peters'], dtype=object) array(['it'], dtype=object)
+ array([""'s""], dtype=object) array(['good'], dtype=object)
+ array(['to', 'have'], dtype=object) array(['a', 'partner'], dtype=object)
+ array(['obviously'], dtype=object)
+ array(['the', 'chemistry'], dtype=object) array(['works'], dtype=object)
+ array(['says'], dtype=object) array(['Steven', 'Tisch'], dtype=object)
+ array(['a', 'producer'], dtype=object) array(['who'], dtype=object)
+ array(['once'], dtype=object) array(['worked'], dtype=object)
+ array(['for'], dtype=object) array(['Mr.', 'Guber'], dtype=object)]",['why'],['NP' 'PRT' 'PP' 'ADVP'],3
+"Utility operations , the only company unit operating in the black in the latest period , had a 26 % drop in profit , to $ 86.3 million , largely as a result of outages at the company 's huge Palo Verde nuclear facility and the cost of purchased replacement power .","[array(['Utility', 'operations'], dtype=object)
+ array(['the', 'only', 'company', 'unit'], dtype=object)
+ array(['operating'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'black'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'latest', 'period'], dtype=object)
+ array(['had'], dtype=object)
+ array(['a', '26', '%', 'drop'], dtype=object) array(['in'], dtype=object)
+ array(['profit'], dtype=object) array(['to'], dtype=object)
+ array(['$', '86.3', 'million'], dtype=object)
+ array(['largely'], dtype=object) array(['as'], dtype=object)
+ array(['a', 'result'], dtype=object) array(['of'], dtype=object)
+ array(['outages'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array([""'s"", 'huge', 'Palo', 'Verde', 'nuclear', 'facility'], dtype=object)
+ array(['the', 'cost'], dtype=object) array(['of'], dtype=object)
+ array(['purchased', 'replacement', 'power'], dtype=object)]",['largely'],['VP' 'PP' 'NP' 'ADVP'],3
+"District police in 1983 descended on his suburban home , which he and his large family used as both residence and factory , and demanded proof the house and equipment were his .","[array(['District', 'police'], dtype=object) array(['in'], dtype=object)
+ array(['1983'], dtype=object) array(['descended'], dtype=object)
+ array(['on'], dtype=object)
+ array(['his', 'suburban', 'home'], dtype=object)
+ array(['which'], dtype=object) array(['he'], dtype=object)
+ array(['his', 'large', 'family'], dtype=object)
+ array(['used'], dtype=object) array(['as'], dtype=object)
+ array(['both', 'residence', 'and', 'factory'], dtype=object)
+ array(['demanded'], dtype=object) array(['proof'], dtype=object)
+ array(['the', 'house', 'and', 'equipment'], dtype=object)
+ array(['were'], dtype=object) array(['his'], dtype=object)]",['demanded'],['PP' 'CONJP' 'NP' 'VP'],3
+"Alan D'Agosto , president of Panda 's Inc. , an operator of Arby 's restaurants in Omaha , says : `` All we 're doing is keeping the customers coming , but we are n't increasing sales . ''","[array(['Alan', ""D'Agosto""], dtype=object)
+ array(['president'], dtype=object) array(['of'], dtype=object)
+ array(['Panda'], dtype=object) array([""'s"", 'Inc.'], dtype=object)
+ array(['an', 'operator'], dtype=object) array(['of'], dtype=object)
+ array(['Arby'], dtype=object) array([""'s"", 'restaurants'], dtype=object)
+ array(['in'], dtype=object) array(['Omaha'], dtype=object)
+ array(['says'], dtype=object) array(['All'], dtype=object)
+ array(['we'], dtype=object) array([""'re"", 'doing'], dtype=object)
+ array(['is'], dtype=object) array(['keeping'], dtype=object)
+ array(['the', 'customers'], dtype=object) array(['coming'], dtype=object)
+ array(['we'], dtype=object)
+ array(['are', ""n't"", 'increasing'], dtype=object)
+ array(['sales'], dtype=object)]",['Panda'],['VP' 'PP' 'ADVP' 'NP'],3
+"Some of this buying was by Japan , which has had its supplies sharply reduced by long production stoppages at the Bougainville mine in Papua New Guinea , Highland Valley mine in British Columbia , and the Cananea mine in Mexico , which are major shippers to Japan .","[array(['Some'], dtype=object) array(['of'], dtype=object)
+ array(['this', 'buying'], dtype=object) array(['was'], dtype=object)
+ array(['by'], dtype=object) array(['Japan'], dtype=object)
+ array(['which'], dtype=object) array(['has', 'had'], dtype=object)
+ array(['its', 'supplies'], dtype=object) array(['sharply'], dtype=object)
+ array(['reduced'], dtype=object) array(['by'], dtype=object)
+ array(['long', 'production', 'stoppages'], dtype=object)
+ array(['at'], dtype=object)
+ array(['the', 'Bougainville', 'mine'], dtype=object)
+ array(['in'], dtype=object)
+ array(['Papua', 'New', 'Guinea'], dtype=object)
+ array(['Highland', 'Valley', 'mine'], dtype=object)
+ array(['in'], dtype=object) array(['British', 'Columbia'], dtype=object)
+ array(['the', 'Cananea', 'mine'], dtype=object)
+ array(['in'], dtype=object) array(['Mexico'], dtype=object)
+ array(['which'], dtype=object) array(['are'], dtype=object)
+ array(['major', 'shippers'], dtype=object) array(['to'], dtype=object)
+ array(['Japan'], dtype=object)]",['was'],['PP' 'SBAR' 'NP' 'VP'],3
+"In a move that complements the company 's basic strategy , its Westmoreland Energy Inc. unit is developing four coal-fired cogeneration plants with a partner in Virginia .","[array(['In'], dtype=object) array(['a', 'move'], dtype=object)
+ array(['that'], dtype=object) array(['complements'], dtype=object)
+ array(['the', 'company'], dtype=object)
+ array([""'s"", 'basic', 'strategy'], dtype=object)
+ array(['its', 'Westmoreland', 'Energy', 'Inc.', 'unit'], dtype=object)
+ array(['is', 'developing'], dtype=object)
+ array(['four', 'coal-fired', 'cogeneration', 'plants'], dtype=object)
+ array(['with'], dtype=object) array(['a', 'partner'], dtype=object)
+ array(['in'], dtype=object) array(['Virginia'], dtype=object)]",['the' 'company'],['VP' 'PP' 'SBAR' 'NP'],3
+"$ 100 million of 8 5\/8 % bonds due Nov. 1 , 1993 priced at 101 1\/4 to yield 8.74 % annually less full fees , via Yamaichi International -LRB- Europe -RRB- Ltd .","[array(['$', '100', 'million'], dtype=object) array(['of'], dtype=object)
+ array(['8', '5\\/8', '%', 'bonds'], dtype=object)
+ array(['due'], dtype=object)
+ array(['Nov.', '1', ',', '1993'], dtype=object)
+ array(['priced'], dtype=object) array(['at'], dtype=object)
+ array(['101', '1\\/4'], dtype=object)
+ array(['to', 'yield'], dtype=object) array(['8.74', '%'], dtype=object)
+ array(['annually'], dtype=object) array(['less'], dtype=object)
+ array(['full', 'fees'], dtype=object) array(['via'], dtype=object)
+ array(['Yamaichi', 'International'], dtype=object)
+ array(['Ltd'], dtype=object)]",['$' '100' 'million'],['VP' 'PP' 'ADJP' 'NP'],3
+And even some last-minute phone calls that Mr. Bush made -LRB- at the behest of some conservative U.S. senators -RRB- to enlist backing for the U.S. position failed to stop the march of Mr. Arias 's agenda .,"[array(['even', 'some', 'last-minute', 'phone', 'calls'], dtype=object)
+ array(['that'], dtype=object) array(['Mr.', 'Bush'], dtype=object)
+ array(['made'], dtype=object) array(['at'], dtype=object)
+ array(['the', 'behest'], dtype=object) array(['of'], dtype=object)
+ array(['some', 'conservative', 'U.S.', 'senators'], dtype=object)
+ array(['to', 'enlist'], dtype=object) array(['backing'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'U.S.', 'position'], dtype=object)
+ array(['failed', 'to', 'stop'], dtype=object)
+ array(['the', 'march'], dtype=object) array(['of'], dtype=object)
+ array(['Mr.', 'Arias'], dtype=object)
+ array([""'s"", 'agenda'], dtype=object)]",['Mr.' 'Bush'],['VP' 'PP' 'ADJP' 'NP'],3
+"Those rumors were confirmed after the end of trading yesterday when the U.S. Agriculture Department announced that the Soviets had bought 1.2 million metric tons of U.S. corn , bringing their U.S. corn purchases confirmed so far this month to about five million metric tons .","[array(['Those', 'rumors'], dtype=object)
+ array(['were', 'confirmed'], dtype=object) array(['after'], dtype=object)
+ array(['the', 'end'], dtype=object) array(['of'], dtype=object)
+ array(['trading'], dtype=object) array(['yesterday'], dtype=object)
+ array(['when'], dtype=object)
+ array(['the', 'U.S.', 'Agriculture', 'Department'], dtype=object)
+ array(['announced'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'Soviets'], dtype=object)
+ array(['had', 'bought'], dtype=object)
+ array(['1.2', 'million', 'metric', 'tons'], dtype=object)
+ array(['of'], dtype=object) array(['U.S.', 'corn'], dtype=object)
+ array(['bringing'], dtype=object)
+ array(['their', 'U.S.', 'corn', 'purchases'], dtype=object)
+ array(['confirmed'], dtype=object) array(['so', 'far'], dtype=object)
+ array(['this', 'month'], dtype=object) array(['to'], dtype=object)
+ array(['about', 'five', 'million', 'metric', 'tons'], dtype=object)]",['yesterday'],['ADVP' 'VP' 'PP' 'NP'],3
+"Of the 450 survey respondents , 35 % said they expect to spend less buying Christmas gifts this year than last year , while 28 % said they expect to spend more and 37 % said their gift budget would stay the same .","[array(['Of'], dtype=object)
+ array(['the', '450', 'survey', 'respondents'], dtype=object)
+ array(['35', '%'], dtype=object) array(['said'], dtype=object)
+ array(['they'], dtype=object)
+ array(['expect', 'to', 'spend'], dtype=object)
+ array(['less'], dtype=object) array(['buying'], dtype=object)
+ array(['Christmas', 'gifts'], dtype=object)
+ array(['this', 'year'], dtype=object) array(['than'], dtype=object)
+ array(['last', 'year'], dtype=object) array(['while'], dtype=object)
+ array(['28', '%'], dtype=object) array(['said'], dtype=object)
+ array(['they'], dtype=object)
+ array(['expect', 'to', 'spend'], dtype=object)
+ array(['more'], dtype=object) array(['37', '%'], dtype=object)
+ array(['said'], dtype=object)
+ array(['their', 'gift', 'budget'], dtype=object)
+ array(['would', 'stay'], dtype=object)
+ array(['the', 'same'], dtype=object)]",['last' 'year'],['PP' 'ADJP' 'VP' 'NP'],3
+Here are details of the auction :,"[array(['Here'], dtype=object) array(['are'], dtype=object)
+ array(['details'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'auction'], dtype=object)]",['of'],['NP' 'ADJP' 'VP' 'PP'],3
+The letter outlines broad powers for an independent group of directors provided for in the revised offer .,"[array(['The', 'letter'], dtype=object) array(['outlines'], dtype=object)
+ array(['broad', 'powers'], dtype=object) array(['for'], dtype=object)
+ array(['an', 'independent', 'group'], dtype=object)
+ array(['of'], dtype=object) array(['directors'], dtype=object)
+ array(['provided'], dtype=object) array(['for'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'revised', 'offer'], dtype=object)]",['The' 'letter'],['VP' 'PP' 'ADJP' 'NP'],3
+"Management and unions representing 2,400 employees at Torstar Corp. 's Toronto Star reached a tentative contract agreement Friday , averting a strike by most employees of Canada 's largest daily newspaper .","[array(['Management', 'and', 'unions'], dtype=object)
+ array(['representing'], dtype=object)
+ array(['2,400', 'employees'], dtype=object) array(['at'], dtype=object)
+ array(['Torstar', 'Corp.'], dtype=object)
+ array([""'s"", 'Toronto', 'Star'], dtype=object)
+ array(['reached'], dtype=object)
+ array(['a', 'tentative', 'contract', 'agreement'], dtype=object)
+ array(['Friday'], dtype=object) array(['averting'], dtype=object)
+ array(['a', 'strike'], dtype=object) array(['by'], dtype=object)
+ array(['most', 'employees'], dtype=object) array(['of'], dtype=object)
+ array(['Canada'], dtype=object)
+ array([""'s"", 'largest', 'daily', 'newspaper'], dtype=object)]","[""'s"" 'Toronto' 'Star']",['VP' 'ADVP' 'PP' 'NP'],3
+"The restructuring calls for a 24 % reduction in its work force over the next two months , affecting about 525 jobs , Cipher Data said .","[array(['The', 'restructuring'], dtype=object)
+ array(['calls'], dtype=object) array(['for'], dtype=object)
+ array(['a', '24', '%', 'reduction'], dtype=object)
+ array(['in'], dtype=object) array(['its', 'work', 'force'], dtype=object)
+ array(['over'], dtype=object)
+ array(['the', 'next', 'two', 'months'], dtype=object)
+ array(['affecting'], dtype=object)
+ array(['about', '525', 'jobs'], dtype=object)
+ array(['Cipher', 'Data'], dtype=object) array(['said'], dtype=object)]",['the' 'next' 'two' 'months'],['PP' 'VP' 'ADVP' 'NP'],3
+"However , with airline stocks cratering , he might not get a very good price for his shares , traders say .","[array(['However'], dtype=object) array(['with'], dtype=object)
+ array(['airline', 'stocks'], dtype=object)
+ array(['cratering'], dtype=object) array(['he'], dtype=object)
+ array(['might', 'not', 'get'], dtype=object)
+ array(['a', 'very', 'good', 'price'], dtype=object)
+ array(['for'], dtype=object) array(['his', 'shares'], dtype=object)
+ array(['traders'], dtype=object) array(['say'], dtype=object)]",['a' 'very' 'good' 'price'],['VP' 'ADJP' 'PP' 'NP'],3
+"Here , then , is where the Orange Workers have come to make apartheid 's last stand .","[array(['Here'], dtype=object) array(['then'], dtype=object)
+ array(['is'], dtype=object) array(['where'], dtype=object)
+ array(['the', 'Orange', 'Workers'], dtype=object)
+ array(['have', 'come'], dtype=object) array(['to', 'make'], dtype=object)
+ array(['apartheid'], dtype=object)
+ array([""'s"", 'last', 'stand'], dtype=object)]",['then'],['NP' 'VP' 'PP' 'ADVP'],3
+"The quake knocked The Well out for six hours , but when it came back up , it teemed with emotional first-hand reports .","[array(['The', 'quake'], dtype=object) array(['knocked'], dtype=object)
+ array(['The', 'Well'], dtype=object) array(['out'], dtype=object)
+ array(['for'], dtype=object) array(['six', 'hours'], dtype=object)
+ array(['when'], dtype=object) array(['it'], dtype=object)
+ array(['came'], dtype=object) array(['back'], dtype=object)
+ array(['up'], dtype=object) array(['it'], dtype=object)
+ array(['teemed'], dtype=object) array(['with'], dtype=object)
+ array(['emotional', 'first-hand', 'reports'], dtype=object)]",['came'],['NP' 'ADVP' 'PP' 'VP'],3
+A recent indictment alleges that some floor brokers at the two largest Chicago commodity exchanges used market orders to fill customers ' orders at unfavorable prices by arranging trades with fellow brokers .,"[array(['A', 'recent', 'indictment'], dtype=object)
+ array(['alleges'], dtype=object) array(['that'], dtype=object)
+ array(['some', 'floor', 'brokers'], dtype=object)
+ array(['at'], dtype=object)
+ array(['the', 'two', 'largest', 'Chicago', 'commodity', 'exchanges'],
+       dtype=object)
+ array(['used'], dtype=object) array(['market', 'orders'], dtype=object)
+ array(['to', 'fill'], dtype=object) array(['customers'], dtype=object)
+ array([""'"", 'orders'], dtype=object) array(['at'], dtype=object)
+ array(['unfavorable', 'prices'], dtype=object)
+ array(['by'], dtype=object) array(['arranging'], dtype=object)
+ array(['trades'], dtype=object) array(['with'], dtype=object)
+ array(['fellow', 'brokers'], dtype=object)]",['customers'],['ADVP' 'PP' 'VP' 'NP'],3
+"Among the suggestions : Pantyhose and men 's ties could be used for slings , while removable wooden shelves might aid in `` breaking through office walls . ''","[array(['Among'], dtype=object)
+ array(['the', 'suggestions'], dtype=object)
+ array(['Pantyhose'], dtype=object) array(['men'], dtype=object)
+ array([""'s"", 'ties'], dtype=object)
+ array(['could', 'be', 'used'], dtype=object) array(['for'], dtype=object)
+ array(['slings'], dtype=object) array(['while'], dtype=object)
+ array(['removable', 'wooden', 'shelves'], dtype=object)
+ array(['might', 'aid'], dtype=object) array(['in'], dtype=object)
+ array(['breaking'], dtype=object) array(['through'], dtype=object)
+ array(['office', 'walls'], dtype=object)]",['through'],['ADJP' 'VP' 'NP' 'PP'],3
+"And in some months , he buys stock-index futures and not stocks at all .","[array(['in'], dtype=object) array(['some', 'months'], dtype=object)
+ array(['he'], dtype=object) array(['buys'], dtype=object)
+ array(['stock-index', 'futures'], dtype=object)
+ array(['and', 'not'], dtype=object) array(['stocks'], dtype=object)
+ array(['at', 'all'], dtype=object)]",['in'],['ADVP' 'NP' 'VP' 'PP'],3
+Mr. Guzman Cabrera says the union 's sacrifices will be offset by a wage and benefit package that amounts to a 22 % increase in compensation .,"[array(['Mr.', 'Guzman', 'Cabrera'], dtype=object)
+ array(['says'], dtype=object) array(['the', 'union'], dtype=object)
+ array([""'s"", 'sacrifices'], dtype=object)
+ array(['will', 'be', 'offset'], dtype=object) array(['by'], dtype=object)
+ array(['a', 'wage', 'and', 'benefit', 'package'], dtype=object)
+ array(['that'], dtype=object) array(['amounts'], dtype=object)
+ array(['to'], dtype=object)
+ array(['a', '22', '%', 'increase'], dtype=object)
+ array(['in'], dtype=object) array(['compensation'], dtype=object)]",['Mr.' 'Guzman' 'Cabrera'],['PP' 'ADJP' 'VP' 'NP'],3
+Such sentiment only encourages the adverse feelings toward Turkey that surfaced when Turkey asked for assistance in dealing with its Bulgarian emigration crisis .,"[array(['Such', 'sentiment'], dtype=object) array(['only'], dtype=object)
+ array(['encourages'], dtype=object)
+ array(['the', 'adverse', 'feelings'], dtype=object)
+ array(['toward'], dtype=object) array(['Turkey'], dtype=object)
+ array(['that'], dtype=object) array(['surfaced'], dtype=object)
+ array(['when'], dtype=object) array(['Turkey'], dtype=object)
+ array(['asked'], dtype=object) array(['for'], dtype=object)
+ array(['assistance'], dtype=object) array(['in'], dtype=object)
+ array(['dealing'], dtype=object) array(['with'], dtype=object)
+ array(['its', 'Bulgarian', 'emigration', 'crisis'], dtype=object)]",['surfaced'],['NP' 'ADVP' 'PP' 'VP'],3
+B.A.T shares rose 29 pence to 783 pence on London 's stock exchange yesterday .,"[array(['B.A.T', 'shares'], dtype=object) array(['rose'], dtype=object)
+ array(['29', 'pence'], dtype=object) array(['to'], dtype=object)
+ array(['783', 'pence'], dtype=object) array(['on'], dtype=object)
+ array(['London'], dtype=object)
+ array([""'s"", 'stock', 'exchange'], dtype=object)
+ array(['yesterday'], dtype=object)]",['to'],['VP' 'PRT' 'NP' 'PP'],3
+Revenue gained 3.1 % to $ 26.81 billion from $ 26 billion .,"[array(['Revenue'], dtype=object) array(['gained'], dtype=object)
+ array(['3.1', '%'], dtype=object) array(['to'], dtype=object)
+ array(['$', '26.81', 'billion'], dtype=object)
+ array(['from'], dtype=object) array(['$', '26', 'billion'], dtype=object)]",['from'],['NP' 'VP' 'SBAR' 'PP'],3
+A shortage of young cattle has made them more expensive for feedlot operators to buy .,"[array(['A', 'shortage'], dtype=object) array(['of'], dtype=object)
+ array(['young', 'cattle'], dtype=object)
+ array(['has', 'made'], dtype=object) array(['them'], dtype=object)
+ array(['more', 'expensive'], dtype=object) array(['for'], dtype=object)
+ array(['feedlot', 'operators'], dtype=object)
+ array(['to', 'buy'], dtype=object)]",['young' 'cattle'],['PP' 'ADJP' 'VP' 'NP'],3
+"The charity admits spending a lot on fund raising , but says that was necessary to establish a donor base it can tap at much lower cost in years to come .","[array(['The', 'charity'], dtype=object)
+ array(['admits', 'spending'], dtype=object)
+ array(['a', 'lot'], dtype=object) array(['on'], dtype=object)
+ array(['fund', 'raising'], dtype=object) array(['says'], dtype=object)
+ array(['that'], dtype=object) array(['was'], dtype=object)
+ array(['necessary'], dtype=object)
+ array(['to', 'establish'], dtype=object)
+ array(['a', 'donor', 'base'], dtype=object) array(['it'], dtype=object)
+ array(['can', 'tap'], dtype=object) array(['at'], dtype=object)
+ array(['much', 'lower', 'cost'], dtype=object)
+ array(['in'], dtype=object) array(['years'], dtype=object)
+ array(['to', 'come'], dtype=object)]",['necessary'],['VP' 'PP' 'NP' 'ADJP'],3
+"Slower growth countries included Greece , at 2.5 % , the U.K. , at 2.25 % , and Denmark , at 1.75 % .","[array(['Slower', 'growth', 'countries'], dtype=object)
+ array(['included'], dtype=object) array(['Greece'], dtype=object)
+ array(['at'], dtype=object) array(['2.5', '%'], dtype=object)
+ array(['the', 'U.K.'], dtype=object) array(['at'], dtype=object)
+ array(['2.25', '%'], dtype=object) array(['Denmark'], dtype=object)
+ array(['at'], dtype=object) array(['1.75', '%'], dtype=object)]",['at'],['ADVP' 'NP' 'SBAR' 'PP'],3
+"The Fort Worth , Texas , company is generally regarded as one of the best-run in the business , and its difficulties are likely to be reflected industrywide as other major carriers report third-quarter results over the next several days .","[array(['The', 'Fort', 'Worth', ',', 'Texas', ',', 'company'], dtype=object)
+ array(['is', 'generally', 'regarded'], dtype=object)
+ array(['as'], dtype=object) array(['one'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'best-run'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'business'], dtype=object)
+ array(['its', 'difficulties'], dtype=object) array(['are'], dtype=object)
+ array(['likely'], dtype=object)
+ array(['to', 'be', 'reflected'], dtype=object)
+ array(['industrywide'], dtype=object) array(['as'], dtype=object)
+ array(['other', 'major', 'carriers'], dtype=object)
+ array(['report'], dtype=object)
+ array(['third-quarter', 'results'], dtype=object)
+ array(['over'], dtype=object)
+ array(['the', 'next', 'several', 'days'], dtype=object)]","['The' 'Fort' 'Worth' ',' 'Texas' ',' 'company']",['PP' 'ADVP' 'VP' 'NP'],3
+That 's about half the price of comparably equipped IBM mainframes .,"[array(['That'], dtype=object) array([""'s""], dtype=object)
+ array(['about', 'half', 'the', 'price'], dtype=object)
+ array(['of'], dtype=object)
+ array(['comparably', 'equipped', 'IBM', 'mainframes'], dtype=object)]",['That'],['VP' 'PP' 'PRT' 'NP'],3
+Chambers Development Co. said its Security Bureau Inc. unit purchased two security concerns in Florida that will add $ 2.1 million of annual revenue .,"[array(['Chambers', 'Development', 'Co.'], dtype=object)
+ array(['said'], dtype=object)
+ array(['its', 'Security', 'Bureau', 'Inc.', 'unit'], dtype=object)
+ array(['purchased'], dtype=object)
+ array(['two', 'security', 'concerns'], dtype=object)
+ array(['in'], dtype=object) array(['Florida'], dtype=object)
+ array(['that'], dtype=object) array(['will', 'add'], dtype=object)
+ array(['$', '2.1', 'million'], dtype=object) array(['of'], dtype=object)
+ array(['annual', 'revenue'], dtype=object)]",['will' 'add'],['ADVP' 'PP' 'NP' 'VP'],3
+"Jefferies , a Los Angeles holding company primarily engaged in securities trading , also said stock market declines since the quarter ended Sept. 30 created an unrealized pretax loss of about $ 6 million in its risk arbitrage account .","[array(['Jefferies'], dtype=object)
+ array(['a', 'Los', 'Angeles', 'holding', 'company'], dtype=object)
+ array(['primarily', 'engaged'], dtype=object) array(['in'], dtype=object)
+ array(['securities', 'trading'], dtype=object)
+ array(['also'], dtype=object) array(['said'], dtype=object)
+ array(['stock', 'market', 'declines'], dtype=object)
+ array(['since'], dtype=object) array(['the', 'quarter'], dtype=object)
+ array(['ended'], dtype=object) array(['Sept.', '30'], dtype=object)
+ array(['created'], dtype=object)
+ array(['an', 'unrealized', 'pretax', 'loss'], dtype=object)
+ array(['of'], dtype=object)
+ array(['about', '$', '6', 'million'], dtype=object)
+ array(['in'], dtype=object)
+ array(['its', 'risk', 'arbitrage', 'account'], dtype=object)]",['also'],['PP' 'NP' 'VP' 'ADVP'],3
+"The result is that some franchisees are running hard just to stay even , laying off middle managers and working harder to make less .","[array(['The', 'result'], dtype=object) array(['is'], dtype=object)
+ array(['that'], dtype=object)
+ array(['some', 'franchisees'], dtype=object)
+ array(['are', 'running'], dtype=object) array(['hard'], dtype=object)
+ array(['just'], dtype=object) array(['to', 'stay'], dtype=object)
+ array(['even'], dtype=object) array(['laying'], dtype=object)
+ array(['off'], dtype=object) array(['middle', 'managers'], dtype=object)
+ array(['working'], dtype=object) array(['harder'], dtype=object)
+ array(['to', 'make'], dtype=object) array(['less'], dtype=object)]",['working'],['NP' 'SBAR' 'PP' 'VP'],3
+"Under this legislation , a woman must be informed 24 hours before the operation of the details of the procedure and its risks .","[array(['Under'], dtype=object)
+ array(['this', 'legislation'], dtype=object)
+ array(['a', 'woman'], dtype=object)
+ array(['must', 'be', 'informed'], dtype=object)
+ array(['24', 'hours'], dtype=object) array(['before'], dtype=object)
+ array(['the', 'operation'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'details'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'procedure'], dtype=object)
+ array(['its', 'risks'], dtype=object)]",['24' 'hours'],['VP' 'SBAR' 'PP' 'NP'],3
+The operating chief 's post is new .,"[array(['The', 'operating', 'chief'], dtype=object)
+ array([""'s"", 'post'], dtype=object) array(['is'], dtype=object)
+ array(['new'], dtype=object)]",['is'],['PP' 'ADVP' 'NP' 'VP'],3
+"Even though electronic espionage may cost U.S. firms billions of dollars a year , most are n't yet taking precautions , the experts said .","[array(['Even', 'though'], dtype=object)
+ array(['electronic', 'espionage'], dtype=object)
+ array(['may', 'cost'], dtype=object)
+ array(['U.S.', 'firms'], dtype=object) array(['billions'], dtype=object)
+ array(['of'], dtype=object) array(['dollars'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['most'], dtype=object)
+ array(['are', ""n't"", 'yet', 'taking'], dtype=object)
+ array(['precautions'], dtype=object)
+ array(['the', 'experts'], dtype=object) array(['said'], dtype=object)]",['electronic' 'espionage'],['ADJP' 'ADVP' 'VP' 'NP'],3
+"`` The overnight success story is part of our culture , and our society puts an emphasis on it with lotteries and Ed McMahon making millionaires out of people , '' says Michael Cunningham , an associate professor of psychology at the University of Kentucky in Louisville .","[array(['The', 'overnight', 'success', 'story'], dtype=object)
+ array(['is'], dtype=object) array(['part'], dtype=object)
+ array(['of'], dtype=object) array(['our', 'culture'], dtype=object)
+ array(['our', 'society'], dtype=object) array(['puts'], dtype=object)
+ array(['an', 'emphasis'], dtype=object) array(['on'], dtype=object)
+ array(['it'], dtype=object) array(['with'], dtype=object)
+ array(['lotteries'], dtype=object) array(['Ed', 'McMahon'], dtype=object)
+ array(['making'], dtype=object) array(['millionaires'], dtype=object)
+ array(['out'], dtype=object) array(['of'], dtype=object)
+ array(['people'], dtype=object) array(['says'], dtype=object)
+ array(['Michael', 'Cunningham'], dtype=object)
+ array(['an', 'associate', 'professor'], dtype=object)
+ array(['of'], dtype=object) array(['psychology'], dtype=object)
+ array(['at'], dtype=object) array(['the', 'University'], dtype=object)
+ array(['of'], dtype=object) array(['Kentucky'], dtype=object)
+ array(['in'], dtype=object) array(['Louisville'], dtype=object)]",['it'],['PP' 'SBAR' 'VP' 'NP'],3
+"What 's more , a flood of new products has given consumers a dizzying choice of brands , many of which are virtually carbon copies of one other .","[array(['What'], dtype=object) array([""'s""], dtype=object)
+ array(['more'], dtype=object) array(['a', 'flood'], dtype=object)
+ array(['of'], dtype=object) array(['new', 'products'], dtype=object)
+ array(['has', 'given'], dtype=object) array(['consumers'], dtype=object)
+ array(['a', 'dizzying', 'choice'], dtype=object)
+ array(['of'], dtype=object) array(['brands'], dtype=object)
+ array(['many'], dtype=object) array(['of'], dtype=object)
+ array(['which'], dtype=object) array(['are'], dtype=object)
+ array(['virtually'], dtype=object)
+ array(['carbon', 'copies'], dtype=object) array(['of'], dtype=object)
+ array(['one', 'other'], dtype=object)]",['many'],['SBAR' 'CONJP' 'VP' 'NP'],3
+"But USAir might not want to help Mr. Steinhardt , he adds .","[array(['USAir'], dtype=object)
+ array(['might', 'not', 'want', 'to', 'help'], dtype=object)
+ array(['Mr.', 'Steinhardt'], dtype=object) array(['he'], dtype=object)
+ array(['adds'], dtype=object)]",['might' 'not' 'want' 'to' 'help'],['PP' 'NP' 'SBAR' 'VP'],3
+That brought a chain reaction in the industry .,"[array(['That'], dtype=object) array(['brought'], dtype=object)
+ array(['a', 'chain', 'reaction'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'industry'], dtype=object)]",['a' 'chain' 'reaction'],['SBAR' 'VP' 'PP' 'NP'],3
+"Yesterday , in an interview , he added that the Democrats ' decision `` increases the likelihood that a capital-gains tax cut will not pass this year . ''","[array(['Yesterday'], dtype=object) array(['in'], dtype=object)
+ array(['an', 'interview'], dtype=object) array(['he'], dtype=object)
+ array(['added'], dtype=object) array(['that'], dtype=object)
+ array(['the', 'Democrats'], dtype=object)
+ array([""'"", 'decision'], dtype=object) array(['increases'], dtype=object)
+ array(['the', 'likelihood'], dtype=object) array(['that'], dtype=object)
+ array(['a', 'capital-gains', 'tax', 'cut'], dtype=object)
+ array(['will', 'not', 'pass'], dtype=object)
+ array(['this', 'year'], dtype=object)]",['an' 'interview'],['ADJP' 'PP' 'VP' 'NP'],3
+"`` Peter is a major piece of Hollywood manpower who has really earned his success , '' says Robert Bookman , an agent at Creative Artists Agency .","[array(['Peter'], dtype=object) array(['is'], dtype=object)
+ array(['a', 'major', 'piece'], dtype=object) array(['of'], dtype=object)
+ array(['Hollywood', 'manpower'], dtype=object)
+ array(['who'], dtype=object)
+ array(['has', 'really', 'earned'], dtype=object)
+ array(['his', 'success'], dtype=object) array(['says'], dtype=object)
+ array(['Robert', 'Bookman'], dtype=object)
+ array(['an', 'agent'], dtype=object) array(['at'], dtype=object)
+ array(['Creative', 'Artists', 'Agency'], dtype=object)]",['who'],['VP' 'ADVP' 'PP' 'NP'],3
+John R. Wilke contribued to this article .,"[array(['John', 'R.', 'Wilke'], dtype=object)
+ array(['contribued'], dtype=object) array(['to'], dtype=object)
+ array(['this', 'article'], dtype=object)]",['to'],['NP' 'SBAR' 'VP' 'PP'],3
+There will be a lot of repair work that wo n't require the quantities of cement or concrete that new constructon would . '',"[array(['There'], dtype=object) array(['will', 'be'], dtype=object)
+ array(['a', 'lot'], dtype=object) array(['of'], dtype=object)
+ array(['repair', 'work'], dtype=object) array(['that'], dtype=object)
+ array(['wo', ""n't"", 'require'], dtype=object)
+ array(['the', 'quantities'], dtype=object) array(['of'], dtype=object)
+ array(['cement', 'or', 'concrete'], dtype=object)
+ array(['that'], dtype=object) array(['new', 'constructon'], dtype=object)
+ array(['would'], dtype=object)]",['a' 'lot'],['ADVP' 'PP' 'VP' 'NP'],3
+"Among other technology issues , Cray Research rose 1 5\/8 to 37 , Hewlett-Packard added 1 1\/4 to 50 1\/4 , Tandem Computers rallied 1 1\/8 to 25 3\/4 , Data General rose 3\/4 to 14 1\/2 and Motorola gained 2 3\/8 to 59 1\/4 .","[array(['Among'], dtype=object)
+ array(['other', 'technology', 'issues'], dtype=object)
+ array(['Cray', 'Research'], dtype=object) array(['rose'], dtype=object)
+ array(['1', '5\\/8'], dtype=object) array(['to'], dtype=object)
+ array(['37'], dtype=object) array(['Hewlett-Packard'], dtype=object)
+ array(['added'], dtype=object) array(['1', '1\\/4'], dtype=object)
+ array(['to'], dtype=object) array(['50', '1\\/4'], dtype=object)
+ array(['Tandem', 'Computers'], dtype=object)
+ array(['rallied'], dtype=object) array(['1', '1\\/8'], dtype=object)
+ array(['to'], dtype=object) array(['25', '3\\/4'], dtype=object)
+ array(['Data', 'General'], dtype=object) array(['rose'], dtype=object)
+ array(['3\\/4'], dtype=object) array(['to'], dtype=object)
+ array(['14', '1\\/2'], dtype=object) array(['Motorola'], dtype=object)
+ array(['gained'], dtype=object) array(['2', '3\\/8'], dtype=object)
+ array(['to'], dtype=object) array(['59', '1\\/4'], dtype=object)]",['to'],['ADJP' 'NP' 'VP' 'PP'],3
+"When interest rates have dropped , it makes sense for corporations to do just that ; they then save on interest costs .","[array(['When'], dtype=object) array(['interest', 'rates'], dtype=object)
+ array(['have', 'dropped'], dtype=object) array(['it'], dtype=object)
+ array(['makes'], dtype=object) array(['sense'], dtype=object)
+ array(['for'], dtype=object) array(['corporations'], dtype=object)
+ array(['to', 'do'], dtype=object) array(['just', 'that'], dtype=object)
+ array(['they'], dtype=object) array(['then'], dtype=object)
+ array(['save'], dtype=object) array(['on'], dtype=object)
+ array(['interest', 'costs'], dtype=object)]",['just' 'that'],['SBAR' 'VP' 'PP' 'NP'],3
+But they expose the holders to a lot of inflation risk and interest-rate risk .,"[array(['they'], dtype=object) array(['expose'], dtype=object)
+ array(['the', 'holders'], dtype=object) array(['to'], dtype=object)
+ array(['a', 'lot'], dtype=object) array(['of'], dtype=object)
+ array(['inflation', 'risk'], dtype=object)
+ array(['interest-rate', 'risk'], dtype=object)]",['to'],['ADJP' 'NP' 'VP' 'PP'],3
+These actions did n't affect results because the gain on the sale of the European cosmetics businesses was offset by provisions relating to the Brazil divestiture and drug restructuring .,"[array(['These', 'actions'], dtype=object)
+ array(['did', ""n't"", 'affect'], dtype=object)
+ array(['results'], dtype=object) array(['because'], dtype=object)
+ array(['the', 'gain'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'sale'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'European', 'cosmetics', 'businesses'], dtype=object)
+ array(['was', 'offset'], dtype=object) array(['by'], dtype=object)
+ array(['provisions'], dtype=object) array(['relating'], dtype=object)
+ array(['to'], dtype=object)
+ array(['the', 'Brazil', 'divestiture', 'and', 'drug', 'restructuring'],
+       dtype=object)                                                    ]",['provisions'],['PP' 'ADVP' 'VP' 'NP'],3
+"Dan Baldwin , managing director of high-yield investments at Chancellor Capital Management , said the Chicago & North Western offering was restructured in part because `` several large insurance buyers right now are demanding equity as part of the package .","[array(['Dan', 'Baldwin'], dtype=object)
+ array(['managing', 'director'], dtype=object) array(['of'], dtype=object)
+ array(['high-yield', 'investments'], dtype=object)
+ array(['at'], dtype=object)
+ array(['Chancellor', 'Capital', 'Management'], dtype=object)
+ array(['said'], dtype=object)
+ array(['the', 'Chicago', '&', 'North', 'Western', 'offering'],
+       dtype=object)
+ array(['was', 'restructured'], dtype=object) array(['in'], dtype=object)
+ array(['part'], dtype=object) array(['because'], dtype=object)
+ array(['several', 'large', 'insurance', 'buyers'], dtype=object)
+ array(['right', 'now'], dtype=object)
+ array(['are', 'demanding'], dtype=object) array(['equity'], dtype=object)
+ array(['as'], dtype=object) array(['part'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'package'], dtype=object)]",['of'],['VP' 'NP' 'ADVP' 'PP'],3
+"Minpeco attorney Thomas Gorman decribed the plan as one step toward an overall settlement of the W. Herbert Hunt case but Hugh Ray , attorney for Manufacturers Hanover , called it `` silly '' and said he would fight it in court .","[array(['Minpeco', 'attorney', 'Thomas', 'Gorman'], dtype=object)
+ array(['decribed'], dtype=object) array(['the', 'plan'], dtype=object)
+ array(['as'], dtype=object) array(['one', 'step'], dtype=object)
+ array(['toward'], dtype=object)
+ array(['an', 'overall', 'settlement'], dtype=object)
+ array(['of'], dtype=object)
+ array(['the', 'W.', 'Herbert', 'Hunt', 'case'], dtype=object)
+ array(['Hugh', 'Ray'], dtype=object) array(['attorney'], dtype=object)
+ array(['for'], dtype=object)
+ array(['Manufacturers', 'Hanover'], dtype=object)
+ array(['called'], dtype=object) array(['it'], dtype=object)
+ array(['silly'], dtype=object) array(['said'], dtype=object)
+ array(['he'], dtype=object) array(['would', 'fight'], dtype=object)
+ array(['it'], dtype=object) array(['in'], dtype=object)
+ array(['court'], dtype=object)]",['Minpeco' 'attorney' 'Thomas' 'Gorman'],['ADJP' 'VP' 'PP' 'NP'],3
+"In Texas , abortion opponents want to pass parental-consent legislation along with a statewide ban on the use of public funds , personnel and facilities for abortion , and viability tests for fetuses 19 weeks and older .","[array(['In'], dtype=object) array(['Texas'], dtype=object)
+ array(['abortion', 'opponents'], dtype=object)
+ array(['want', 'to', 'pass'], dtype=object)
+ array(['parental-consent', 'legislation'], dtype=object)
+ array(['along'], dtype=object) array(['with'], dtype=object)
+ array(['a', 'statewide', 'ban'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'use'], dtype=object)
+ array(['of'], dtype=object)
+ array(['public', 'funds', ',', 'personnel', 'and', 'facilities'],
+       dtype=object)
+ array(['for'], dtype=object) array(['abortion'], dtype=object)
+ array(['viability', 'tests'], dtype=object) array(['for'], dtype=object)
+ array(['fetuses'], dtype=object) array(['19', 'weeks'], dtype=object)
+ array(['older'], dtype=object)]",['older'],['ADVP' 'VP' 'NP' 'ADJP'],3
+"TV reporters interviewed fans in the parking lots while , a few feet away , others watched the interviews on their portable TVs .","[array(['TV', 'reporters'], dtype=object)
+ array(['interviewed'], dtype=object) array(['fans'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'parking', 'lots'], dtype=object)
+ array(['a', 'few', 'feet'], dtype=object) array(['away'], dtype=object)
+ array(['others'], dtype=object) array(['watched'], dtype=object)
+ array(['the', 'interviews'], dtype=object) array(['on'], dtype=object)
+ array(['their', 'portable', 'TVs'], dtype=object)]",['the' 'interviews'],['PP' 'VP' 'ADJP' 'NP'],3
+MCA owns WWOR in New York and Paramount last month agreed to purchase a 79 % stake in the TVX Broadcast Group from Salomon Inc. in a deal valued at $ 140 million .,"[array(['MCA'], dtype=object) array(['owns'], dtype=object)
+ array(['WWOR'], dtype=object) array(['in'], dtype=object)
+ array(['New', 'York'], dtype=object) array(['Paramount'], dtype=object)
+ array(['last', 'month'], dtype=object)
+ array(['agreed', 'to', 'purchase'], dtype=object)
+ array(['a', '79', '%', 'stake'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'TVX', 'Broadcast', 'Group'], dtype=object)
+ array(['from'], dtype=object) array(['Salomon', 'Inc.'], dtype=object)
+ array(['in'], dtype=object) array(['a', 'deal'], dtype=object)
+ array(['valued'], dtype=object) array(['at'], dtype=object)
+ array(['$', '140', 'million'], dtype=object)]",['agreed' 'to' 'purchase'],['NP' 'ADJP' 'PP' 'VP'],3
+"Microsoft and other software stocks surged , leading the Nasdaq composite index of over-the-counter stocks to its biggest advance of the year on breathtaking volume .","[array(['Microsoft'], dtype=object)
+ array(['other', 'software', 'stocks'], dtype=object)
+ array(['surged'], dtype=object) array(['leading'], dtype=object)
+ array(['the', 'Nasdaq', 'composite', 'index'], dtype=object)
+ array(['of'], dtype=object)
+ array(['over-the-counter', 'stocks'], dtype=object)
+ array(['to'], dtype=object)
+ array(['its', 'biggest', 'advance'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'year'], dtype=object)
+ array(['on'], dtype=object)
+ array(['breathtaking', 'volume'], dtype=object)]",['its' 'biggest' 'advance'],['PP' 'SBAR' 'VP' 'NP'],3
+"For the quarter , BankAmerica said it earned $ 254 million , or $ 1.16 a share , compared with $ 190 million , or 97 cents a share , a year earlier .","[array(['For'], dtype=object) array(['the', 'quarter'], dtype=object)
+ array(['BankAmerica'], dtype=object) array(['said'], dtype=object)
+ array(['it'], dtype=object) array(['earned'], dtype=object)
+ array(['$', '254', 'million'], dtype=object)
+ array(['$', '1.16'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['compared'], dtype=object) array(['with'], dtype=object)
+ array(['$', '190', 'million'], dtype=object)
+ array(['97', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['earlier'], dtype=object)]",['earned'],['NP' 'PP' 'SBAR' 'VP'],3
+Most brokers assume that all orders are day orders unless specified otherwise .,"[array(['Most', 'brokers'], dtype=object) array(['assume'], dtype=object)
+ array(['that'], dtype=object) array(['all', 'orders'], dtype=object)
+ array(['are'], dtype=object) array(['day', 'orders'], dtype=object)
+ array(['unless'], dtype=object) array(['specified'], dtype=object)
+ array(['otherwise'], dtype=object)]",['all' 'orders'],['VP' 'PP' 'ADJP' 'NP'],3
+"Based on historical rates of return , Mr. Anderson reckons a 100 % stock portfolio , indexed to the market , would have kept up with tuition and taxes in the 20th century .","[array(['Based'], dtype=object) array(['on'], dtype=object)
+ array(['historical', 'rates'], dtype=object) array(['of'], dtype=object)
+ array(['return'], dtype=object) array(['Mr.', 'Anderson'], dtype=object)
+ array(['reckons'], dtype=object)
+ array(['a', '100', '%', 'stock', 'portfolio'], dtype=object)
+ array(['indexed'], dtype=object) array(['to'], dtype=object)
+ array(['the', 'market'], dtype=object)
+ array(['would', 'have', 'kept'], dtype=object)
+ array(['up'], dtype=object) array(['with'], dtype=object)
+ array(['tuition', 'and', 'taxes'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', '20th', 'century'], dtype=object)]",['would' 'have' 'kept'],['ADVP' 'NP' 'PP' 'VP'],3
+"In addition , some microelectronics companies said they were prepared for tremulous conditions like Tuesday 's .","[array(['In'], dtype=object) array(['addition'], dtype=object)
+ array(['some', 'microelectronics', 'companies'], dtype=object)
+ array(['said'], dtype=object) array(['they'], dtype=object)
+ array(['were'], dtype=object) array(['prepared'], dtype=object)
+ array(['for'], dtype=object)
+ array(['tremulous', 'conditions'], dtype=object)
+ array(['like'], dtype=object) array(['Tuesday'], dtype=object)
+ array([""'s""], dtype=object)]",['prepared'],['VP' 'PP' 'NP' 'ADJP'],3
+The Office of Management and Budget has begun looking into legislation to provide more funds for earthquake repairs .,"[array(['The', 'Office'], dtype=object) array(['of'], dtype=object)
+ array(['Management', 'and', 'Budget'], dtype=object)
+ array(['has', 'begun', 'looking'], dtype=object)
+ array(['into'], dtype=object) array(['legislation'], dtype=object)
+ array(['to', 'provide'], dtype=object)
+ array(['more', 'funds'], dtype=object) array(['for'], dtype=object)
+ array(['earthquake', 'repairs'], dtype=object)]",['earthquake' 'repairs'],['PP' 'ADVP' 'VP' 'NP'],3
+"Like other major American cities , the San Francisco -- Oakland area owes its current prosperity more to its infrastructure of fiber-optic cables linking thousands of computer terminals and telephones than to its location astride one of the world 's great natural harbors .","[array(['Like'], dtype=object)
+ array(['other', 'major', 'American', 'cities'], dtype=object)
+ array(['the', 'San', 'Francisco', '--', 'Oakland', 'area'], dtype=object)
+ array(['owes'], dtype=object)
+ array(['its', 'current', 'prosperity'], dtype=object)
+ array(['more'], dtype=object) array(['to'], dtype=object)
+ array(['its', 'infrastructure'], dtype=object)
+ array(['of'], dtype=object)
+ array(['fiber-optic', 'cables'], dtype=object)
+ array(['linking'], dtype=object) array(['thousands'], dtype=object)
+ array(['of'], dtype=object)
+ array(['computer', 'terminals'], dtype=object)
+ array(['telephones'], dtype=object) array(['than'], dtype=object)
+ array(['to'], dtype=object) array(['its', 'location'], dtype=object)
+ array(['astride'], dtype=object) array(['one'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'world'], dtype=object)
+ array([""'s"", 'great', 'natural', 'harbors'], dtype=object)]",['fiber-optic' 'cables'],['VP' 'ADVP' 'PP' 'NP'],3
+"Instead , both congressional and administration officials agreed , it grew out of talks about coup-planning in Panama that were initiated by the administration in July 1988 and stretched into last October .","[array(['Instead'], dtype=object)
+ array(['both', 'congressional', 'and', 'administration', 'officials'],
+       dtype=object)
+ array(['agreed'], dtype=object) array(['it'], dtype=object)
+ array(['grew'], dtype=object) array(['out'], dtype=object)
+ array(['of'], dtype=object) array(['talks'], dtype=object)
+ array(['about'], dtype=object) array(['coup-planning'], dtype=object)
+ array(['in'], dtype=object) array(['Panama'], dtype=object)
+ array(['that'], dtype=object) array(['were', 'initiated'], dtype=object)
+ array(['by'], dtype=object)
+ array(['the', 'administration'], dtype=object)
+ array(['in'], dtype=object) array(['July', '1988'], dtype=object)
+ array(['stretched'], dtype=object) array(['into'], dtype=object)
+ array(['last', 'October'], dtype=object)]",['out'],['NP' 'ADVP' 'VP' 'PP'],3
+"That purchase represented an attempt by Whitbread , a venerable British brewer , to become a major player in the global liquor business .","[array(['That', 'purchase'], dtype=object)
+ array(['represented'], dtype=object)
+ array(['an', 'attempt'], dtype=object) array(['by'], dtype=object)
+ array(['Whitbread'], dtype=object)
+ array(['a', 'venerable', 'British', 'brewer'], dtype=object)
+ array(['to', 'become'], dtype=object)
+ array(['a', 'major', 'player'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'global', 'liquor', 'business'], dtype=object)]",['Whitbread'],['VP' 'ADVP' 'ADJP' 'NP'],3
+"Mr. Delchamps , 46 years old , succeeds A.F. Delchamps Jr. , who died in a plane crash on Sunday at the age of 58 .","[array(['Mr.', 'Delchamps'], dtype=object)
+ array(['46', 'years'], dtype=object) array(['old'], dtype=object)
+ array(['succeeds'], dtype=object)
+ array(['A.F.', 'Delchamps', 'Jr.'], dtype=object)
+ array(['who'], dtype=object) array(['died'], dtype=object)
+ array(['in'], dtype=object) array(['a', 'plane', 'crash'], dtype=object)
+ array(['on'], dtype=object) array(['Sunday'], dtype=object)
+ array(['at'], dtype=object) array(['the', 'age'], dtype=object)
+ array(['of'], dtype=object) array(['58'], dtype=object)]",['old'],['ADVP' 'PP' 'NP' 'ADJP'],3
+"`` The bottom line is that it 's more hand to mouth than it has been before , '' he said .","[array(['The', 'bottom', 'line'], dtype=object)
+ array(['is'], dtype=object) array(['that'], dtype=object)
+ array(['it'], dtype=object) array([""'s""], dtype=object)
+ array(['more', 'hand', 'to', 'mouth'], dtype=object)
+ array(['than'], dtype=object) array(['it'], dtype=object)
+ array(['has', 'been'], dtype=object) array(['before'], dtype=object)
+ array(['he'], dtype=object) array(['said'], dtype=object)]",['said'],['ADVP' 'PP' 'NP' 'VP'],3
+"It was an ideal place for the Orange Workers to start their new nation , unencumbered by the demographics that have undermined apartheid elsewhere in South Africa .","[array(['It'], dtype=object) array(['was'], dtype=object)
+ array(['an', 'ideal', 'place'], dtype=object)
+ array(['for'], dtype=object)
+ array(['the', 'Orange', 'Workers'], dtype=object)
+ array(['to', 'start'], dtype=object)
+ array(['their', 'new', 'nation'], dtype=object)
+ array(['unencumbered'], dtype=object) array(['by'], dtype=object)
+ array(['the', 'demographics'], dtype=object)
+ array(['that'], dtype=object) array(['have', 'undermined'], dtype=object)
+ array(['apartheid'], dtype=object) array(['elsewhere'], dtype=object)
+ array(['in'], dtype=object) array(['South', 'Africa'], dtype=object)]",['was'],['NP' 'PP' 'ADJP' 'VP'],3
+"Upon privatization , National Power will be responsible for 70 % of the country 's power generating business .","[array(['Upon'], dtype=object) array(['privatization'], dtype=object)
+ array(['National', 'Power'], dtype=object)
+ array(['will', 'be'], dtype=object) array(['responsible'], dtype=object)
+ array(['for'], dtype=object) array(['70', '%'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'country'], dtype=object)
+ array([""'s"", 'power', 'generating', 'business'], dtype=object)]",['responsible'],['PP' 'NP' 'VP' 'ADJP'],3
+Mr. Sells expects fourth-quarter sales at his company -- which besides Woolworth stores includes Kinney and Foot Locker shoe stores and other specialty chains -- to rise `` pretty much in line '' with its year-to-date increases of between 8 % and 9 % .,"[array(['Mr.', 'Sells'], dtype=object) array(['expects'], dtype=object)
+ array(['fourth-quarter', 'sales'], dtype=object)
+ array(['at'], dtype=object) array(['his', 'company'], dtype=object)
+ array(['which'], dtype=object) array(['besides'], dtype=object)
+ array(['Woolworth', 'stores'], dtype=object)
+ array(['includes'], dtype=object)
+ array(['Kinney', 'and', 'Foot', 'Locker', 'shoe', 'stores'], dtype=object)
+ array(['other', 'specialty', 'chains'], dtype=object)
+ array(['to', 'rise'], dtype=object)
+ array(['pretty', 'much'], dtype=object) array(['in'], dtype=object)
+ array(['line'], dtype=object) array(['with'], dtype=object)
+ array(['its', 'year-to-date', 'increases'], dtype=object)
+ array(['of'], dtype=object)
+ array(['between', '8', '%', 'and', '9', '%'], dtype=object)]",['its' 'year-to-date' 'increases'],['ADVP' 'PP' 'VP' 'NP'],3
+Independent directors would have veto rights to any acquisition if they unanimously decide it is n't in LIN 's best interest .,"[array(['Independent', 'directors'], dtype=object)
+ array(['would', 'have'], dtype=object)
+ array(['veto', 'rights'], dtype=object) array(['to'], dtype=object)
+ array(['any', 'acquisition'], dtype=object) array(['if'], dtype=object)
+ array(['they'], dtype=object)
+ array(['unanimously', 'decide'], dtype=object)
+ array(['it'], dtype=object) array(['is'], dtype=object)
+ array(['in'], dtype=object) array(['LIN'], dtype=object)
+ array([""'s"", 'best', 'interest'], dtype=object)]",['unanimously' 'decide'],['SBAR' 'ADVP' 'NP' 'VP'],3
+But the Nikkei fell an overall 1.8 % in value that day compared with Wall Street 's far sharper 6.9 % drop on Oct. 13 .,"[array(['the', 'Nikkei'], dtype=object) array(['fell'], dtype=object)
+ array(['an', 'overall', '1.8', '%'], dtype=object)
+ array(['in'], dtype=object) array(['value'], dtype=object)
+ array(['that', 'day'], dtype=object) array(['compared'], dtype=object)
+ array(['with'], dtype=object)
+ array(['Wall', 'Street', ""'s""], dtype=object)
+ array(['far', 'sharper'], dtype=object) array(['6.9', '%'], dtype=object)
+ array(['drop'], dtype=object) array(['on'], dtype=object)
+ array(['Oct.', '13'], dtype=object)]",['compared'],['NP' 'VP' 'ADVP' 'PP'],3
+We now need support from the Democrats on the Rules Committee in order to include earnings-limit reform in the Reconciliation Bill .,"[array(['We'], dtype=object) array(['now'], dtype=object)
+ array(['need'], dtype=object) array(['support'], dtype=object)
+ array(['from'], dtype=object) array(['the', 'Democrats'], dtype=object)
+ array(['on'], dtype=object)
+ array(['the', 'Rules', 'Committee'], dtype=object)
+ array(['in'], dtype=object) array(['to', 'include'], dtype=object)
+ array(['earnings-limit', 'reform'], dtype=object)
+ array(['in'], dtype=object)
+ array(['the', 'Reconciliation', 'Bill'], dtype=object)]",['now'],['PP' 'VP' 'NP' 'ADVP'],3
+A man in a wheelchair was gunned down in the crossfire of a Miami drug battle .,"[array(['A', 'man'], dtype=object) array(['in'], dtype=object)
+ array(['a', 'wheelchair'], dtype=object)
+ array(['was', 'gunned'], dtype=object) array(['down'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'crossfire'], dtype=object)
+ array(['of'], dtype=object)
+ array(['a', 'Miami', 'drug', 'battle'], dtype=object)]",['a' 'Miami' 'drug' 'battle'],['ADVP' 'PP' 'VP' 'NP'],3
+"The European Community Commission increased its forecast for economic growth in the EC in 1989 to 3.5 % , slightly higher than its June projection of 3.25 % .","[array(['The', 'European', 'Community', 'Commission'], dtype=object)
+ array(['increased'], dtype=object)
+ array(['its', 'forecast'], dtype=object) array(['for'], dtype=object)
+ array(['economic', 'growth'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'EC'], dtype=object) array(['in'], dtype=object)
+ array(['1989'], dtype=object) array(['to'], dtype=object)
+ array(['3.5', '%'], dtype=object)
+ array(['slightly', 'higher'], dtype=object) array(['than'], dtype=object)
+ array(['its', 'June', 'projection'], dtype=object)
+ array(['of'], dtype=object) array(['3.25', '%'], dtype=object)]",['the' 'EC'],['ADVP' 'PP' 'VP' 'NP'],3
+Mr. Cawthorn said in an interview that sales will show an increase from a year ago of `` somewhat less than 10 % . '',"[array(['Mr.', 'Cawthorn'], dtype=object) array(['said'], dtype=object)
+ array(['in'], dtype=object) array(['an', 'interview'], dtype=object)
+ array(['that'], dtype=object) array(['sales'], dtype=object)
+ array(['will', 'show'], dtype=object)
+ array(['an', 'increase'], dtype=object) array(['from'], dtype=object)
+ array(['a', 'year'], dtype=object) array(['ago'], dtype=object)
+ array(['of'], dtype=object)
+ array(['somewhat', 'less', 'than', '10', '%'], dtype=object)]",['Mr.' 'Cawthorn'],['VP' 'PP' 'ADVP' 'NP'],3
+a - Includes a one-time gain of $ 88.7 million from a commonstock sale by U S West 's U S West New Vector Group .,"[array(['Includes'], dtype=object)
+ array(['a', 'one-time', 'gain'], dtype=object)
+ array(['of'], dtype=object) array(['$', '88.7', 'million'], dtype=object)
+ array(['from'], dtype=object)
+ array(['a', 'commonstock', 'sale'], dtype=object)
+ array(['by'], dtype=object) array(['U', 'S', 'West'], dtype=object)
+ array([""'s"", 'U', 'S', 'West', 'New', 'Vector', 'Group'], dtype=object)]",['$' '88.7' 'million'],['VP' 'PP' 'ADVP' 'NP'],3
+"When I realized it was over , I went and stood out in front of the house , waiting and praying for Merrill to come home , shivering as if it were 20 below zero until he got there .","[array(['When'], dtype=object) array(['I'], dtype=object)
+ array(['realized'], dtype=object) array(['it'], dtype=object)
+ array(['was'], dtype=object) array(['over'], dtype=object)
+ array(['I'], dtype=object) array(['went'], dtype=object)
+ array(['stood'], dtype=object) array(['out'], dtype=object)
+ array(['in'], dtype=object) array(['front'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'house'], dtype=object)
+ array(['waiting', 'and', 'praying'], dtype=object)
+ array(['for'], dtype=object) array(['Merrill'], dtype=object)
+ array(['to', 'come'], dtype=object) array(['home'], dtype=object)
+ array(['shivering'], dtype=object) array(['as', 'if'], dtype=object)
+ array(['it'], dtype=object) array(['were'], dtype=object)
+ array(['20'], dtype=object) array(['below'], dtype=object)
+ array(['zero'], dtype=object) array(['until'], dtype=object)
+ array(['he'], dtype=object) array(['got'], dtype=object)
+ array(['there'], dtype=object)]",['of'],['NP' 'VP' 'ADJP' 'PP'],3
+"In recent months , three big Tokyo-based publishing concerns -- including Nikkei Business Publications , Nikkei Home -LRB- no relation -RRB- , and Magazine House -- applied for membership in Magazine Publishers of America , which represents almost all U.S. consumer magazines .","[array(['In'], dtype=object) array(['recent', 'months'], dtype=object)
+ array(['three', 'big', 'Tokyo-based', 'publishing', 'concerns'],
+       dtype=object)
+ array(['including'], dtype=object)
+ array(['Nikkei', 'Business', 'Publications'], dtype=object)
+ array(['Nikkei', 'Home'], dtype=object)
+ array(['no', 'relation'], dtype=object)
+ array(['Magazine', 'House'], dtype=object)
+ array(['applied'], dtype=object) array(['for'], dtype=object)
+ array(['membership'], dtype=object) array(['in'], dtype=object)
+ array(['Magazine', 'Publishers'], dtype=object)
+ array(['of'], dtype=object) array(['America'], dtype=object)
+ array(['which'], dtype=object) array(['represents'], dtype=object)
+ array(['almost', 'all', 'U.S.', 'consumer', 'magazines'], dtype=object)]",['which'],['ADVP' 'PP' 'VP' 'NP'],3
+"Bush has three vacancies to fill on the prestigious D.C. Circuit Court , which handles many important regulatory issues and is often considered a warm-up for future Supreme Court nominees .","[array(['Bush'], dtype=object) array(['has'], dtype=object)
+ array(['three', 'vacancies'], dtype=object)
+ array(['to', 'fill'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'prestigious', 'D.C.', 'Circuit', 'Court'], dtype=object)
+ array(['which'], dtype=object) array(['handles'], dtype=object)
+ array(['many', 'important', 'regulatory', 'issues'], dtype=object)
+ array(['is', 'often', 'considered'], dtype=object)
+ array(['a', 'warm-up'], dtype=object) array(['for'], dtype=object)
+ array(['future', 'Supreme', 'Court', 'nominees'], dtype=object)]",['Bush'],['PP' 'ADJP' 'VP' 'NP'],3
+"Yields on money funds dropped in the week ended Tuesday , according to Donoghue 's Money Fund Report , a Holliston , Mass. , newsletter .","[array(['Yields'], dtype=object) array(['on'], dtype=object)
+ array(['money', 'funds'], dtype=object) array(['dropped'], dtype=object)
+ array(['in'], dtype=object) array(['the', 'week'], dtype=object)
+ array(['ended'], dtype=object) array(['Tuesday'], dtype=object)
+ array(['according'], dtype=object) array(['to'], dtype=object)
+ array(['Donoghue'], dtype=object)
+ array([""'s"", 'Money', 'Fund', 'Report'], dtype=object)
+ array(['a', 'Holliston', ',', 'Mass.', ',', 'newsletter'], dtype=object)]","[""'s"" 'Money' 'Fund' 'Report']",['ADVP' 'PP' 'VP' 'NP'],3
+"The properties held by FADA wo n't be sold piecemeal , Mr. Seidman said in a speech before Southern Methodist University Business School in Dallas .","[array(['The', 'properties'], dtype=object) array(['held'], dtype=object)
+ array(['by'], dtype=object) array(['FADA'], dtype=object)
+ array(['wo', ""n't"", 'be', 'sold'], dtype=object)
+ array(['piecemeal'], dtype=object)
+ array(['Mr.', 'Seidman'], dtype=object) array(['said'], dtype=object)
+ array(['in'], dtype=object) array(['a', 'speech'], dtype=object)
+ array(['before'], dtype=object)
+ array(['Southern', 'Methodist', 'University', 'Business', 'School'],
+       dtype=object)
+ array(['in'], dtype=object) array(['Dallas'], dtype=object)]",['by'],['NP' 'VP' 'ADVP' 'PP'],3
+"Companies `` are n't comfortable playing these games , but they realize they 're under pressure to make their policies look good , '' says Timothy Pfiefer , an actuarial consultant at Tillinghast , a unit of Towers Perrin Co. , the big New York consulting firm .","[array(['Companies'], dtype=object) array(['are'], dtype=object)
+ array(['comfortable'], dtype=object) array(['playing'], dtype=object)
+ array(['these', 'games'], dtype=object) array(['they'], dtype=object)
+ array(['realize'], dtype=object) array(['they'], dtype=object)
+ array([""'re""], dtype=object) array(['under'], dtype=object)
+ array(['pressure'], dtype=object) array(['to', 'make'], dtype=object)
+ array(['their', 'policies'], dtype=object) array(['look'], dtype=object)
+ array(['good'], dtype=object) array(['says'], dtype=object)
+ array(['Timothy', 'Pfiefer'], dtype=object)
+ array(['an', 'actuarial', 'consultant'], dtype=object)
+ array(['at'], dtype=object) array(['Tillinghast'], dtype=object)
+ array(['a', 'unit'], dtype=object) array(['of'], dtype=object)
+ array(['Towers', 'Perrin', 'Co.'], dtype=object)
+ array(['the', 'big', 'New', 'York', 'consulting', 'firm'], dtype=object)]",['a' 'unit'],['PP' 'VP' 'SBAR' 'NP'],3
+"Weirton , of Weirton , W. Va. , said $ 60.3 million of the proceeds were used to prepay the remaining amounts on the note outstanding to National Intergroup Inc. , the parent of National Steel .","[array(['Weirton'], dtype=object) array(['of'], dtype=object)
+ array(['Weirton'], dtype=object) array(['W.', 'Va.'], dtype=object)
+ array(['said'], dtype=object)
+ array(['$', '60.3', 'million'], dtype=object) array(['of'], dtype=object)
+ array(['the', 'proceeds'], dtype=object)
+ array(['were', 'used'], dtype=object)
+ array(['to', 'prepay'], dtype=object)
+ array(['the', 'remaining', 'amounts'], dtype=object)
+ array(['on'], dtype=object) array(['the', 'note'], dtype=object)
+ array(['outstanding'], dtype=object) array(['to'], dtype=object)
+ array(['National', 'Intergroup', 'Inc.'], dtype=object)
+ array(['the', 'parent'], dtype=object) array(['of'], dtype=object)
+ array(['National', 'Steel'], dtype=object)]",['outstanding'],['NP' 'VP' 'PP' 'ADJP'],3
+"The exact strain of hepatitis that the cafeteria worker contracted has n't been determined but should be known by the end of the week , Dr. McBride said .","[array(['The', 'exact', 'strain'], dtype=object)
+ array(['of'], dtype=object) array(['hepatitis'], dtype=object)
+ array(['that'], dtype=object)
+ array(['the', 'cafeteria', 'worker'], dtype=object)
+ array(['contracted'], dtype=object)
+ array(['has', ""n't"", 'been', 'determined'], dtype=object)
+ array(['should', 'be', 'known'], dtype=object)
+ array(['by'], dtype=object) array(['the', 'end'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'week'], dtype=object)
+ array(['Dr.', 'McBride'], dtype=object) array(['said'], dtype=object)]",['hepatitis'],['ADVP' 'PP' 'ADJP' 'NP'],3
+"Like other major American cities , the San Francisco -- Oakland area owes its current prosperity more to its infrastructure of fiber-optic cables linking thousands of computer terminals and telephones than to its location astride one of the world 's great natural harbors .","[array(['Like'], dtype=object)
+ array(['other', 'major', 'American', 'cities'], dtype=object)
+ array(['the', 'San', 'Francisco', '--', 'Oakland', 'area'], dtype=object)
+ array(['owes'], dtype=object)
+ array(['its', 'current', 'prosperity'], dtype=object)
+ array(['more'], dtype=object) array(['to'], dtype=object)
+ array(['its', 'infrastructure'], dtype=object)
+ array(['of'], dtype=object)
+ array(['fiber-optic', 'cables'], dtype=object)
+ array(['linking'], dtype=object) array(['thousands'], dtype=object)
+ array(['of'], dtype=object)
+ array(['computer', 'terminals'], dtype=object)
+ array(['telephones'], dtype=object) array(['than'], dtype=object)
+ array(['to'], dtype=object) array(['its', 'location'], dtype=object)
+ array(['astride'], dtype=object) array(['one'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'world'], dtype=object)
+ array([""'s"", 'great', 'natural', 'harbors'], dtype=object)]",['of'],['NP' 'SBAR' 'VP' 'PP'],3
+"Before the takeover mania of the '80s , it referred to rooting out through analysis undervalued stocks , especially those with shrewd management , sound fundamentals and decent prospects .","[array(['Before'], dtype=object)
+ array(['the', 'takeover', 'mania'], dtype=object)
+ array(['of'], dtype=object) array(['the', ""'80s""], dtype=object)
+ array(['it'], dtype=object) array(['referred'], dtype=object)
+ array(['to'], dtype=object) array(['rooting'], dtype=object)
+ array(['out'], dtype=object) array(['through'], dtype=object)
+ array(['analysis'], dtype=object)
+ array(['undervalued', 'stocks'], dtype=object)
+ array(['especially'], dtype=object) array(['those'], dtype=object)
+ array(['with'], dtype=object)
+ array(['shrewd', 'management'], dtype=object)
+ array(['sound', 'fundamentals'], dtype=object)
+ array(['decent', 'prospects'], dtype=object)]",['those'],['PP' 'ADJP' 'VP' 'NP'],3
+"By pooling their resources , the two groups have effectively halved the design and development costs that would otherwise have been entailed , he said .","[array(['By'], dtype=object) array(['pooling'], dtype=object)
+ array(['their', 'resources'], dtype=object)
+ array(['the', 'two', 'groups'], dtype=object)
+ array(['have', 'effectively', 'halved'], dtype=object)
+ array(['the', 'design', 'and', 'development', 'costs'], dtype=object)
+ array(['that'], dtype=object)
+ array(['would', 'otherwise', 'have', 'been', 'entailed'], dtype=object)
+ array(['he'], dtype=object) array(['said'], dtype=object)]",['said'],['PRT' 'NP' 'PP' 'VP'],3
+"The measure before the conference yesterday funds the Departments of State , Justice and Commerce through fiscal 1990 .","[array(['The', 'measure'], dtype=object) array(['before'], dtype=object)
+ array(['the', 'conference'], dtype=object)
+ array(['yesterday'], dtype=object) array(['funds'], dtype=object)
+ array(['the', 'Departments'], dtype=object) array(['of'], dtype=object)
+ array(['State', ',', 'Justice', 'and', 'Commerce'], dtype=object)
+ array(['through'], dtype=object) array(['fiscal', '1990'], dtype=object)]",['through'],['VP' 'NP' 'SBAR' 'PP'],3
+CERTIFICATES OF DEPOSIT : 8.05 % one month ; 8.02 % two months ; 8 % three months ; 7.98 % six months ; 7.95 % one year .,"[array(['CERTIFICATES'], dtype=object) array(['OF'], dtype=object)
+ array(['DEPOSIT'], dtype=object) array(['8.05', '%'], dtype=object)
+ array(['one', 'month'], dtype=object) array(['8.02', '%'], dtype=object)
+ array(['two', 'months'], dtype=object) array(['8', '%'], dtype=object)
+ array(['three', 'months'], dtype=object)
+ array(['7.98', '%'], dtype=object) array(['six', 'months'], dtype=object)
+ array(['7.95', '%'], dtype=object) array(['one', 'year'], dtype=object)]",['OF'],['ADVP' 'NP' 'SBAR' 'PP'],3
+"Loral Corp. said fiscal second-quarter net income was $ 19.8 million , or 79 cents a share , compared with year-earlier earnings from continuing operations of $ 15.6 million , or 62 cents a share .","[array(['Loral', 'Corp.'], dtype=object) array(['said'], dtype=object)
+ array(['fiscal', 'second-quarter', 'net', 'income'], dtype=object)
+ array(['was'], dtype=object)
+ array(['$', '19.8', 'million'], dtype=object)
+ array(['79', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['compared'], dtype=object) array(['with'], dtype=object)
+ array(['year-earlier', 'earnings'], dtype=object)
+ array(['from'], dtype=object)
+ array(['continuing', 'operations'], dtype=object)
+ array(['of'], dtype=object) array(['$', '15.6', 'million'], dtype=object)
+ array(['62', 'cents'], dtype=object) array(['a', 'share'], dtype=object)]",['62' 'cents'],['VP' 'SBAR' 'PP' 'NP'],3
+"But attention also rivets on who finishes last , and Pine Bluff , Ark. -- which finished third to last in 1981 and second to last in 1985 -- is certainly in the running .","[array(['attention'], dtype=object) array(['also'], dtype=object)
+ array(['rivets'], dtype=object) array(['on'], dtype=object)
+ array(['who'], dtype=object) array(['finishes'], dtype=object)
+ array(['last'], dtype=object) array(['Pine', 'Bluff'], dtype=object)
+ array(['Ark.'], dtype=object) array(['which'], dtype=object)
+ array(['finished'], dtype=object)
+ array(['third', 'to', 'last'], dtype=object) array(['in'], dtype=object)
+ array(['1981'], dtype=object)
+ array(['second', 'to', 'last'], dtype=object) array(['in'], dtype=object)
+ array(['1985'], dtype=object) array(['is'], dtype=object)
+ array(['certainly'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'running'], dtype=object)]",['also'],['ADJP' 'NP' 'PP' 'ADVP'],3
+"Also , financial planners advising on insurance say that to their knowledge there has not yet been a tax ruling exempting these advance payments from taxes .","[array(['Also'], dtype=object)
+ array(['financial', 'planners'], dtype=object)
+ array(['advising'], dtype=object) array(['on'], dtype=object)
+ array(['insurance'], dtype=object) array(['say'], dtype=object)
+ array(['that'], dtype=object) array(['to'], dtype=object)
+ array(['their', 'knowledge'], dtype=object)
+ array(['there'], dtype=object)
+ array(['has', 'not', 'yet', 'been'], dtype=object)
+ array(['a', 'tax', 'ruling'], dtype=object)
+ array(['exempting'], dtype=object)
+ array(['these', 'advance', 'payments'], dtype=object)
+ array(['from'], dtype=object) array(['taxes'], dtype=object)]",['that'],['NP' 'PP' 'VP' 'SBAR'],3
+Responses were weighted on the basis of age and gender to conform with U.S. Census data .,"[array(['Responses'], dtype=object)
+ array(['were', 'weighted'], dtype=object) array(['on'], dtype=object)
+ array(['the', 'basis'], dtype=object) array(['of'], dtype=object)
+ array(['age', 'and', 'gender'], dtype=object)
+ array(['to', 'conform'], dtype=object) array(['with'], dtype=object)
+ array(['U.S.', 'Census', 'data'], dtype=object)]",['with'],['VP' 'ADVP' 'NP' 'PP'],3
+"Giant yellow cranes were wheeled up alongside the collapsed segment , preparing to lift off chunks of the debris .","[array(['Giant', 'yellow', 'cranes'], dtype=object)
+ array(['were', 'wheeled'], dtype=object) array(['up'], dtype=object)
+ array(['alongside'], dtype=object)
+ array(['the', 'collapsed', 'segment'], dtype=object)
+ array(['preparing', 'to', 'lift'], dtype=object)
+ array(['off'], dtype=object) array(['chunks'], dtype=object)
+ array(['of'], dtype=object) array(['the', 'debris'], dtype=object)]",['chunks'],['ADVP' 'PP' 'VP' 'NP'],3
+"The SEC reassigned trading in the options , however , to allow investors to do more than simply exercise the options .","[array(['The', 'SEC'], dtype=object) array(['reassigned'], dtype=object)
+ array(['trading'], dtype=object) array(['in'], dtype=object)
+ array(['the', 'options'], dtype=object) array(['however'], dtype=object)
+ array(['to', 'allow'], dtype=object) array(['investors'], dtype=object)
+ array(['to', 'do'], dtype=object) array(['more'], dtype=object)
+ array(['than'], dtype=object) array(['simply'], dtype=object)
+ array(['exercise'], dtype=object) array(['the', 'options'], dtype=object)]",['exercise'],['NP' 'PP' 'ADVP' 'VP'],3
+"The beneficiaries were those financiers whose icon was the topic figure of '80s capitalism , Michael Milken 's $ 517 million salary in one year .","[array(['The', 'beneficiaries'], dtype=object)
+ array(['were'], dtype=object)
+ array(['those', 'financiers'], dtype=object)
+ array(['whose', 'icon'], dtype=object) array(['was'], dtype=object)
+ array(['the', 'topic', 'figure'], dtype=object)
+ array(['of'], dtype=object) array([""'80s"", 'capitalism'], dtype=object)
+ array(['Michael', 'Milken'], dtype=object) array([""'s""], dtype=object)
+ array(['$'], dtype=object) array(['salary'], dtype=object)
+ array(['in'], dtype=object) array(['one', 'year'], dtype=object)]",['one' 'year'],['PP' 'ADVP' 'VP' 'NP'],3
+Cie . Financiere de Paribas said it intends to transfer its 30 % shareholding in Societe Commerciale to a new company which will be jointly owned with Lonrho .,"[array(['Cie', '.', 'Financiere', 'de', 'Paribas'], dtype=object)
+ array(['said'], dtype=object) array(['it'], dtype=object)
+ array(['intends', 'to', 'transfer'], dtype=object)
+ array(['its', '30', '%', 'shareholding'], dtype=object)
+ array(['in'], dtype=object)
+ array(['Societe', 'Commerciale'], dtype=object)
+ array(['to'], dtype=object) array(['a', 'new', 'company'], dtype=object)
+ array(['which'], dtype=object)
+ array(['will', 'be', 'jointly', 'owned'], dtype=object)
+ array(['with'], dtype=object) array(['Lonrho'], dtype=object)]",['with'],['VP' 'ADVP' 'NP' 'PP'],3
+"In addition , a group of 24 industrialized countries , including the U.S. and Japan and coordinated by the European Community Commission , has promised Poland and Hungary trade advice and a line of credit equivalent to $ 1.11 billion through the European Investment Bank , while the EC plans $ 222 million in direct aid .","[array(['In'], dtype=object) array(['addition'], dtype=object)
+ array(['a', 'group'], dtype=object) array(['of'], dtype=object)
+ array(['24', 'industrialized', 'countries'], dtype=object)
+ array(['including'], dtype=object) array(['the', 'U.S.'], dtype=object)
+ array(['Japan'], dtype=object) array(['coordinated'], dtype=object)
+ array(['by'], dtype=object)
+ array(['the', 'European', 'Community', 'Commission'], dtype=object)
+ array(['has', 'promised'], dtype=object)
+ array(['Poland', 'and', 'Hungary'], dtype=object)
+ array(['trade', 'advice'], dtype=object)
+ array(['a', 'line'], dtype=object) array(['of'], dtype=object)
+ array(['credit'], dtype=object) array(['equivalent'], dtype=object)
+ array(['to'], dtype=object) array(['$', '1.11', 'billion'], dtype=object)
+ array(['through'], dtype=object)
+ array(['the', 'European', 'Investment', 'Bank'], dtype=object)
+ array(['while'], dtype=object) array(['the', 'EC'], dtype=object)
+ array(['plans'], dtype=object)
+ array(['$', '222', 'million'], dtype=object) array(['in'], dtype=object)
+ array(['direct', 'aid'], dtype=object)]",['in'],['VP' 'SBAR' 'NP' 'PP'],3
+"Colgate 's 1988 net income included $ 40.1 million , or 59 cents a share , from discontinued operations .","[array(['Colgate'], dtype=object)
+ array([""'s"", '1988', 'net', 'income'], dtype=object)
+ array(['included'], dtype=object)
+ array(['$', '40.1', 'million'], dtype=object)
+ array(['59', 'cents'], dtype=object) array(['a', 'share'], dtype=object)
+ array(['from'], dtype=object)
+ array(['discontinued', 'operations'], dtype=object)]",['59' 'cents'],['SBAR' 'PP' 'ADVP' 'NP'],3
+"Eagle Pencil of Shelbyville , Tenn. , `` Pencil City U.S.A. , '' had made its earliest pilot plastic pencils in 1971 .","[array(['Eagle', 'Pencil'], dtype=object) array(['of'], dtype=object)
+ array(['Shelbyville'], dtype=object) array(['Tenn.'], dtype=object)
+ array(['Pencil', 'City', 'U.S.A.'], dtype=object)
+ array(['had', 'made'], dtype=object)
+ array(['its', 'earliest', 'pilot', 'plastic', 'pencils'], dtype=object)
+ array(['in'], dtype=object) array(['1971'], dtype=object)]",['its' 'earliest' 'pilot' 'plastic' 'pencils'],['SBAR' 'VP' 'PP' 'NP'],3
+"Such rate increases `` will increase the total cost of U.S. products and slow down the rate of increase of U.S. exports , '' said Richard Connors , a senior vice president of Yusen Air & Sea Service U.S.A. Inc. , the U.S. air-freight-forwarding subsidiary of Nippon Yusen Kaisha of Japan .","[array(['Such', 'rate', 'increases'], dtype=object)
+ array(['will', 'increase'], dtype=object)
+ array(['the', 'total', 'cost'], dtype=object) array(['of'], dtype=object)
+ array(['U.S.', 'products'], dtype=object) array(['slow'], dtype=object)
+ array(['down'], dtype=object) array(['the', 'rate'], dtype=object)
+ array(['of'], dtype=object) array(['increase'], dtype=object)
+ array(['of'], dtype=object) array(['U.S.', 'exports'], dtype=object)
+ array(['said'], dtype=object) array(['Richard', 'Connors'], dtype=object)
+ array(['a', 'senior', 'vice', 'president'], dtype=object)
+ array(['of'], dtype=object)
+ array(['Yusen', 'Air', '&', 'Sea', 'Service', 'U.S.A.', 'Inc.'],
+       dtype=object)
+ array(['the', 'U.S.', 'air-freight-forwarding', 'subsidiary'],
+       dtype=object)
+ array(['of'], dtype=object)
+ array(['Nippon', 'Yusen', 'Kaisha'], dtype=object)
+ array(['of'], dtype=object) array(['Japan'], dtype=object)]",['said'],['ADVP' 'PP' 'NP' 'VP'],3
+Banco Popular de Puerto Rico and BanPonce Corp. -- agreed to merge in a transaction valued at $ 324 million .,"[array(['Banco', 'Popular', 'de', 'Puerto', 'Rico'], dtype=object)
+ array(['BanPonce', 'Corp.'], dtype=object)
+ array(['agreed', 'to', 'merge'], dtype=object)
+ array(['in'], dtype=object) array(['a', 'transaction'], dtype=object)
+ array(['valued'], dtype=object) array(['at'], dtype=object)
+ array(['$', '324', 'million'], dtype=object)]",['agreed' 'to' 'merge'],['PP' 'ADVP' 'NP' 'VP'],3