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: Browns Cambridge is a coffee shop that is family-friendly they serve fast food that is in City center that is near Crowne Plaza Hotel that has a low customer rating.

SOLUTION: name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[low], area[city centre], familyFriendly[yes], near[Crowne Plaza Hotel]

PROBLEM: Near Café Rouge is Midsummer House. It is a 5 star English food restaurant.

SOLUTION: name[Midsummer House], food[English], customer rating[5 out of 5], near[Café Rouge]

PROBLEM: The Green Man is family friendly, Japanese restaurant with prices less then 20, near All Bar One in the riverside area.

SOLUTION:
name[Green Man], food[Japanese], priceRange[less than £20], area[riverside], familyFriendly[yes], near[All Bar One]