let me describe you my problem. I have NLU intent get_food
with examples like this:
version: "2.0"
nlu:
- intent: get_food
examples: |
- I want to know more about [apple](food).
- I am interested in [pear](food) nutrition facts.
- Tell me something about [banana](food).
- ...
- lookup: food
examples: |
- apple
- banana
- peach
- pear
- avocado
The idea is to store extracted entity food
into slot food
which is working (almost) as expected. The problem is when a user misspells for example apple
with appel
. It's still extracted perfectly but it stores misspelled value appel
into food
slot. Is there any way to let my RASA assistant pick exact value listed in look-up table with the highest confidence, store this value into food
slot and ignore everything not listed in this look-up table? For example if user asks for details about appel
, it will store apple
into food
slot, but if user asks for details about pineapple
it will store null
into food
or something like this. Thanks for any suggestions.
You would need to call a custom action to clean-up the spelling errors.