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 Eagle is a moderately priced low rated Japanese coffee shop near Burger King in city centre.

SOLUTION: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Burger King]

PROBLEM: Midsummer House is a higher-priced, 3 star sushi restaurant located near All Bar One.

SOLUTION: name[Midsummer House], food[Japanese], priceRange[high], customer rating[3 out of 5], near[All Bar One]

PROBLEM: Browns Cambridge is an urban pub that sells poor quality food for middling  prices.

SOLUTION:
name[Browns Cambridge], food[English], priceRange[moderate], customer rating[1 out of 5]