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 Golden Curry is a three star pasta restaurant, and is family friendly.
Example Output: name[The Golden Curry], food[Italian], customer rating[average], familyFriendly[yes]

Example Input: For a lovely Café meal in a family friendly setting try The Dumpling Tree. It is reasonably priced and family friendly. Located near Café Sicilia in the riverside area.
Example Output: name[The Dumpling Tree], eatType[coffee shop], priceRange[£20-25], area[riverside], familyFriendly[yes], near[Café Sicilia]

Example Input: The Rice Boat is an expensive, highly rated establishment serving Japanese food in the city centre near Express by Holiday Inn.  It is not child friendly.
Example Output:
name[The Rice Boat], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]