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: Cotto is coffee shop near The Portland Arms in the city center. It also offers Japanese food in a moderate price range. Cotto is rated 1 out of 5 by its customers.

SOLUTION: name[Cotto], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[city centre], near[The Portland Arms]

PROBLEM: A restaurant named The Golden Curry is located near The Bakers. It has Indian food and is not kid friendly with a moderate price range

SOLUTION: name[The Golden Curry], food[Indian], priceRange[moderate], familyFriendly[no], near[The Bakers]

PROBLEM: The Rice Boat is an expensive English restaurant in Riverside, near the Express by Holiday Inn.  It has average ratings and is not kid friendly.

SOLUTION:
name[The Rice Boat], food[English], priceRange[high], customer rating[average], area[riverside], familyFriendly[no], near[Express by Holiday Inn]

