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: Wildwood is a pub that serves sushi at a mid-range price level. It is not highly rated.

SOLUTION: name[Wildwood], eatType[pub], food[Japanese], priceRange[moderate], customer rating[1 out of 5]

PROBLEM: The Plough is a restaurant near Express by Holiday Inn  that's not family-friendly.

SOLUTION: name[The Plough], eatType[restaurant], familyFriendly[no], near[Express by Holiday Inn]

PROBLEM: The Punter is a moderately priced restaurant near The Portland Arms in the city centre. It is not kid friendly.

SOLUTION:
name[The Punter], priceRange[moderate], area[city centre], familyFriendly[no], near[The Portland Arms]