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: 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]

PROBLEM: The Waterman provides Chinese food. Its price range is moderate and it has a customer rating of 1 out of 5. It is in the city centre and it is not kids friendly.

SOLUTION: name[The Waterman], food[Chinese], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no]

PROBLEM: Cotto is a coffee shop with high prices but is worthed is near to The Portland Arms

SOLUTION:
name[Cotto], eatType[coffee shop], food[Italian], priceRange[high], customer rating[1 out of 5], area[city centre], near[The Portland Arms]