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: A high priced restaurant near the river is Alimentum.  This is a five star restaurant located next to Yippee Noodle Bar.

SOLUTION: name[Alimentum], food[Fast food], priceRange[more than £30], customer rating[high], area[riverside], near[Yippee Noodle Bar]

PROBLEM: There is a coffee shop near the city centre and Burger King called The Eagle.  It is both rated low and in the low price range, serves Indian food, and is not family friendly.

SOLUTION: name[The Eagle], eatType[coffee shop], food[Indian], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[no], near[Burger King]

PROBLEM: Strada is child-friendly, but costs a lot and gets a low customer rating.

SOLUTION:
name[Strada], priceRange[high], customer rating[1 out of 5], familyFriendly[yes]