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: The Waterman is an Italian restaurant that is kid-friendly near the city center and is moderately priced with a customer rating of 1 out of 5.

SOLUTION: name[The Waterman], food[Italian], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[yes]

PROBLEM: Cotto is a place to eat in the riverside area, near All Bar One. Meals at Cotto are priced more than 30 pounds.

SOLUTION: name[Cotto], priceRange[more than £30], area[riverside], near[All Bar One]

PROBLEM: There is an Italian coffee shop called The Eagle that is not kid friendly. It is located near Burger King and in riverside. It has a customer rating of 3 out of 5.

SOLUTION:
name[The Eagle], eatType[coffee shop], food[Italian], priceRange[moderate], customer rating[3 out of 5], area[riverside], familyFriendly[no], near[Burger King]