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.

Input: Consider Input: A family friendly place located on the Riverside near All Bar One called Green Man has cheap prices.

Output: name[Green Man], food[Japanese], priceRange[cheap], area[riverside], familyFriendly[yes], near[All Bar One]


Input: Consider Input: The Punter, has a cheap price range and offers Chinese food.

Output: name[The Punter], food[Chinese], priceRange[cheap]


Input: Consider Input: The Waterman is a restaurant that serves Chinese. Its customer rating is high and it is child friendly. It is in the city centre . Its price range is more than  £30.


Output: name[The Waterman], food[Chinese], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[yes]


