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: Serving Japanese food is Cocum coffee shop. Though with a low customer rating, Cocum is family friendly and the price range is under £20.

SOLUTION: name[Cocum], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[low], familyFriendly[yes]

PROBLEM: The Cambridge Blue is a Japanese restaurant that has a customer rating of 1 out of 5.

SOLUTION: name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[1 out of 5]

PROBLEM: The Wrestlers is Fast food but the price range is high and has low, 1 out of 5, customer ratings.  Also it is not children friendly.

SOLUTION:
name[The Wrestlers], food[Fast food], priceRange[high], customer rating[1 out of 5], familyFriendly[no]

