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.

Example Input: The Rice Boat public house is in the city centre close to Express by Holiday Inn.  It is moderately priced, has 1 out of 5 stars and is family friendly.
Example Output: name[The Rice Boat], food[French], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Express by Holiday Inn]

Example Input: Near The Bakers is The Golden Curry, a family friendly restaurant.
Example Output: name[The Golden Curry], food[Japanese], priceRange[more than £30], familyFriendly[yes], near[The Bakers]

Example Input: Aromi is a coffee shop. It is located close to the city center. and has a superb view across the river. It doesn't provide family-style dining.
Example Output:
name[Aromi], eatType[coffee shop], food[French], customer rating[low], area[riverside], familyFriendly[no]