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: The Italian restaurant, The Rice Boat, has a low customer rating and is not family-friendly, but meals are less than £20. It is located in the city centre near Express by Holiday Inn.

SOLUTION: name[The Rice Boat], food[Italian], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[no], near[Express by Holiday Inn]

PROBLEM: The Waterman is a high priced, child friendly place located in riverside.  It serves French food and has a rating of 3 out of 5.

SOLUTION: name[The Waterman], food[French], priceRange[high], customer rating[3 out of 5], area[riverside], familyFriendly[yes]

PROBLEM: The Eagle coffee shop in the city centre provides cheap Italian food and has achieved high customer satisfaction. It does not cater for families with children. Burger King is nearby.

SOLUTION:
name[The Eagle], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Burger King]

