Multi token entities in Rasa NLU


(Syed Rizvi) #1

Hi Team,

Wanted to know how to handle entities which are composite i.e. multi-token ? For eg

  1. I am looking for a ‘Chicken Biryani’ recipe
  2. I am looking for ‘Fried Chicken’ recipe

Also we can look for just one word token as well. 3) I am looking for a spicy ‘Chicken’ recipe.

‘Chicken Biryani’,‘Fried Chicken’ and ‘Chicken’ are all entities called as ‘Dish’.

So with respect to creating the training data - If we highlight each one of the above entities as ‘Dish’ (and multiple examples of it) that would do ?

Also any changes in tokenization scheme ? Currently tokenization pipeline is defined as “tokenizer_spacy”.


(Akela Drissner) #2

You can just label them as normal, yes

(Syed Rizvi) #3

Thanks Akela…!!