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 Rice Boat is an expensive, highly rated establishment serving Japanese food in the city centre near Express by Holiday Inn.  It is not child friendly.

SOLUTION: name[The Rice Boat], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]

PROBLEM: Zizzi is an expensive, non-child friendly coffee shop in the city centre with a price range exceeding £30 and has a low customer rating.

SOLUTION: name[Zizzi], eatType[coffee shop], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no]

PROBLEM: Wildwood is a pub that serves Italian food.  It has a high customer rating and the price range is over L20.

SOLUTION:
name[Wildwood], eatType[pub], food[Italian], priceRange[more than £30], customer rating[high]

