TASK DEFINITION: In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
PROBLEM: A high priced restaurant near the river is Alimentum.  This is a five star restaurant located next to Yippee Noodle Bar.

SOLUTION: name[Alimentum], food[Fast food], priceRange[more than £30], customer rating[high], area[riverside], near[Yippee Noodle Bar]

PROBLEM: Located on the riverside near All Bar One, Green Man is a French venue that costs more than £30 and is not child friendly.

SOLUTION: name[Green Man], food[French], priceRange[more than £30], area[riverside], familyFriendly[no], near[All Bar One]

PROBLEM: The Cambridge Blue is a Chinese food Pub for less than  £20 near Café Brazil

SOLUTION:
name[The Cambridge Blue], eatType[pub], food[Chinese], priceRange[less than £20], near[Café Brazil]

