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: Alimentum is restaurant providing Chinese food in average price range. It is located in the city centre near Yippee Noodle Bar.

SOLUTION: name[Alimentum], food[Chinese], priceRange[£20-25], customer rating[high], area[city centre], near[Yippee Noodle Bar]

PROBLEM: The Cambridge Blue is a pub near Café Brazil which serves high price Indian food.

SOLUTION: name[The Cambridge Blue], eatType[pub], food[Indian], priceRange[high], near[Café Brazil]

PROBLEM: Green Man is a moderately priced, non kid friendly Chinese restaurant located in city centre near All Bar One.

SOLUTION:
name[Green Man], food[Chinese], priceRange[moderate], area[city centre], familyFriendly[no], near[All Bar One]