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.

[EX Q]: Loch Fyne is a moderately priced fast food restaurant that is not kid friendly.
[EX A]: name[Loch Fyne], eatType[restaurant], food[Fast food], priceRange[moderate], familyFriendly[no]

[EX Q]: Cocum is a child friendly, pub styled restaurant, that is pretty expensive but rated average.
[EX A]: name[Cocum], eatType[pub], priceRange[high], customer rating[average], familyFriendly[yes]

[EX Q]: Browns Cambridge is a kids-friendly Fast food, near The Sorrento on a riverside.
[EX A]:
name[Browns Cambridge], food[Fast food], area[riverside], familyFriendly[yes], near[The Sorrento]