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: With the price range running more than £30, it's surprising that Alimentum is a children friendly site that offers Chinese food in the riverside area.

SOLUTION: name[Alimentum], food[Chinese], priceRange[more than £30], area[riverside], familyFriendly[yes]

PROBLEM: Café Rouge is a restaurant providing Italian food. It is located in Cotto.

SOLUTION: name[Cotto], food[Italian], near[Café Rouge]

PROBLEM: The Golden Palace is an inexpensive coffee shop just off the river.

SOLUTION:
name[The Golden Palace], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[5 out of 5], area[riverside]