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: Browns Cambridge is a family-friendly coffee shop that serves Italian food in the city centre.  It is near the Crowne Plaza Hotel and has a low customer rating.

SOLUTION: name[Browns Cambridge], eatType[coffee shop], food[Italian], customer rating[low], area[city centre], familyFriendly[yes], near[Crowne Plaza Hotel]

PROBLEM: The moderately priced, kids friendly establishment The Punter can be found near The Portland Arms in the riverside area.

SOLUTION: name[The Punter], priceRange[moderate], area[riverside], familyFriendly[yes], near[The Portland Arms]

PROBLEM: Located near The Portland Arms, The Dumpling Tree, an Italian pub, is not a family friendly environment.

SOLUTION:
name[The Dumpling Tree], eatType[pub], food[Italian], familyFriendly[no], near[The Portland Arms]