Is there a way to extract verbs, nouns, adj, phrases .etc ( in supervised_embedding case)
It will go into slots, right ?
If possible will it influence ‘intents’ ?
Is there a way to extract verbs, nouns, adj, phrases .etc ( in supervised_embedding case)
It will go into slots, right ?
If possible will it influence ‘intents’ ?
can you give an example of a user utterance that you want to parse and what you would want the output to look like?
from another post I got this :
msg = tracker.latest_message.get('text')
I can spacy-nlp-pos it to get those … so I’m ok for now, thanks