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: Fitzbillies is a coffee shop that offers Fast Food with a moderate price and a customer rating 1 out of 5. It is located in the riverside and there is no kids area.

SOLUTION: name[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no]

PROBLEM: Japanese coffee shop called Browns Cambridge near Crowne Plaza Hotel in the city centre. It has a customer rating of 5 out of 5, but it is not family-friendly.

SOLUTION: name[Browns Cambridge], eatType[coffee shop], food[Japanese], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Crowne Plaza Hotel]

PROBLEM: For a lovely Café meal in a family friendly setting try The Dumpling Tree. It is reasonably priced and family friendly. Located near Café Sicilia in the riverside area.

SOLUTION:
name[The Dumpling Tree], eatType[coffee shop], priceRange[£20-25], area[riverside], familyFriendly[yes], near[Café Sicilia]