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: There is a cheap coffee shop named Zizzi in Riverside that is family friendly and has a rating of 5 out of 5

SOLUTION: name[Zizzi], eatType[coffee shop], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes]

PROBLEM: In the riverside area, The Golden Palace restaurant is rated average.

SOLUTION: name[The Golden Palace], eatType[restaurant], customer rating[average], area[riverside]

PROBLEM: There is a restaurant The Rice Boat that provides a high quality foods. It is opened to all age groups.

SOLUTION:
name[The Rice Boat], food[Italian], customer rating[average], area[riverside], familyFriendly[yes]

