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 Mill pub on the riverside, with a price range less than £20, serves Japanese food
Example Output: name[The Mill], eatType[pub], food[Japanese], priceRange[less than £20], area[riverside]

Example Input: The Rice Boat is a poorly rated, moderately priced fast food venue which is family-friendly.  It can be found near Express by Holiday Inn in the city centre.
Example Output: name[The Rice Boat], food[Fast food], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]

Example Input: Taste of Cambridge is a coffee shop expert in Fast food near to Crowne Plaza Hotel
Example Output:
name[Taste of Cambridge], eatType[coffee shop], food[Fast food], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]

