Ted Pedersen > WordNet-SenseRelate-AllWords > WordNet::SenseRelate::AllWords



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WordNet::SenseRelate::AllWords - Disambiguate All Words in a Text based on semantic similarity and relatedness in WordNet


  use WordNet::SenseRelate::AllWords;
  use WordNet::QueryData;
  use WordNet::Tools;
  my $qd = WordNet::QueryData->new;
  defined $qd or die "Construction of WordNet::QueryData failed";
  my $wntools = WordNet::Tools->new($qd);
  defined $wntools or die "\nCouldn't construct WordNet::Tools object"; 

  my $wsd = WordNet::SenseRelate::AllWords->new (wordnet => $qd,
                                                 wntools => $wntools,
                                                 measure => 'WordNet::Similarity::lesk');

  my @context = qw/the bridge is held up by red tape/;
  my @results = $wsd->disambiguate (window => 3,
                                    context => [@context]);
  print "@results\n";


WordNet::SenseRelate::AllWords implements an algorithm for Word Sense Disambiguation that uses measures of semantic relatedness. The algorithm is an extension of an algorithm described by Pedersen, Banerjee, and Patwardhan[1]. This implementation is similar to the original SenseRelate package but disambiguates every word in the given context rather than just single word.


Note: the methods below will die() on serious errors. Wrap calls to the methods in an eval BLOCK to catch the exceptions. See 'perldoc -f eval' for more information.


  my @res;
  eval {@res = $wsd->disambiguate (args...)}

  if ($@){
      print STDERR "An exception occurred ($@)\n";

The constructor for this class. It will create a new instance and return a reference to the constructed object.


  wordnet      => REFERENCE : WordNet::QueryData object
  wntools          => REFERENCE : WordNet::Tools object
  measure      => STRING    : name of a WordNet::Similarity measure
  config       => FILENAME  : config file for above measure
  outfile      => FILENAME  : name of a file for output (optional)
  stoplist     => FILENAME  : file containing list of stop words
  pairScore    => INTEGER   : minimum pairwise score (default: 0)
  contextScore => INTEGER   : minimum overall score (default: 0)
  trace        => INTEGER   : generate traces (default: 0)
  forcepos     => INTEGER   : do part-of-speech coercion (default: 0)
  nocompoundify => INTEGER  : disable compoundify (default: 0)
  usemono => INTEGER  : enable assigning the available sense to usemono (default: 0)
  backoff => INTEGER  : enable assigning most frequent sense if the measure can't assign sense (default: 0)


  A reference to the constructed object.


  WordNet::SenseRelate::AllWords->new (wordnet => $query_data_obj,
                                       wntools => $wordnet_tools_obj,
                                       measure => 'WordNet::Similarity::lesk',
                                       trace   => 1);

The trace levels are:

  1 Show the context window for each pass through the algorithm.

  2 Display winning score for each pass (i.e., for each target word).

  4 Display the non-zero scores for each sense of each target
    word (overrides 2).

  8 Display the non-zero values from the semantic relatedness measures.

 16 Show the zero values as well when combined with either 4 or 8.
    When not used with 4 or 8, this has no effect.

 32 Display traces from the semantic relatedness module.

These trace levels can be added together. For example, by specifying a trace level of 3, the context window will be displayed along with the winning score for each pass.


Disambiguates all the words in the specified context and returns them as a list. If a word cannot be disambiguated, then it is returned "as is". A word cannot be disambiguated if it is not in WordNet or if no value exceeds the specified threshold.

The context parameter specifies the words to be disambiguated. It treats the value as one sentence. To disambiguate a document with multiple sentences, make one call to disambiguate() for each sentence.


  window => INTEGER    : the window size to use.  A window size of N means
                         that the window will include N words, including
                         the target word.  If N is an even number, there
                         will be one more word on the left side of the
                         target word than on the right.
  tagged => BOOLEAN    : true if the text is tagged, false otherwise
  scheme => normal|sense1|random|fixed : the disambiguation scheme to use
  context => ARRAY_REF : reference to an array of words to disambiguate

Returns: An array of disambiguated words.


  my @results =
    $wsd->disambiguate (window => 3, tagged => 0, context => [@words]);

Rules for attaching suffixes:

Suffixes are attached to the words in the context in order to ignore those while disambiguation. Note that after converting the tags to WordNet tags, tagged text is treated same as wntagged text.

Below is the ordered enumeration of the words which are ignored for disambiguation and the suffixes attached to those words.

Note that we check for such words in the order below:

 1 stopwords => #o 

 2 Only for tagged text :

    i)   Closed Class words => #CL

    ii)  Invalid Tag => #IT

    iii) Missing Word => #MW

 3 For tagged and wntagged text:

    i)   No Tag => #NT

    ii)  Missing Word => #MW

    iii) Invalid Tag => #IT

 4 Not in WordNet => #ND

 5 No Relatedness found with the surrounding words => #NR

Gets the current trace string and resets it to "".




  The current trace string (before resetting it).  If the returned string
  is not empty, it will end with a newline.


  my $str = $wsd->getTrace ();
  print $str;



The main web page for SenseRelate is :


There are several mailing lists for SenseRelate:





[1] Ted Pedersen, Satanjeev Banerjee, and Siddharth Patwardhan (2005) Maximizing Semantic Relatedness to Perform Word Sense Disambiguation, University of Minnesota Supercomputing Institute Research Report UMSI 2005/25, March. http://www.msi.umn.edu/general/Reports/rptfiles/2005-25.pdf


Jason Michelizzi, <jmichelizzi at users.sourceforge.net>

Varada Kolhatkar, <kolha002 at d.umn.edu>

Ted Pedersen, <tpederse at d.umn.edu>


Copyright (C) 2004-2008 by Jason Michelizzi and Ted Pedersen



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