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: Near the Burger King, The Eagle is a coffee shop style Japanese, low price, this restaurant is a good place for kids.

SOLUTION: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[yes], near[Burger King]

PROBLEM: There is a coffee shop in the riverside area named Zizzi.  It is not child-friendly, has a low customer rating, and possesses a price range of around £30.

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

PROBLEM: There is a pub called the Green Man in the riverside area serving English food. It is near the Café Rouge.

SOLUTION:
name[Green Man], eatType[pub], food[English], area[riverside], near[Café Rouge]

