Hello,
I am building an FAQ assistant following this guide: Tutorial: Building Assistants
Is it possible during the interactive mode, to select the correct response? For example:
? Your NLU model classified 'xxx' with intent 'faq' and there are no entities, is this correct? Yes
? The bot wants to run 'respond_faq', correct? Yes
however, the response provided (faq/yyy) is not the correct one and I would like to select a different response.
Is this possible in interactive learning?
from dialogue management point of view respond_faq action is correct, it’s ResponseSelector didn’t pick the right one. However, after you say yes, yes does the actual phrase added to nlu data under correct intent with /?
Yes.
Is there a way to modify the picked phrase from ResponseSelector apart from post-editing the NLU data file?
Thank you @Ghostvv
what do you mean by modify? Response is picked by response selector ML model. In order to change its behavior, you need to modify its training data.
I mean to be able to classify a user prompt as intent of faq/xxx instead of just faq (though the same intent, but separate notation in the nlu.md, which drives the response selector) during interactive learning.
Now I have to manually edit the nlu after the interactive learning (and seems that the interactive mode does not offer any value in simple faq application).
Thank you!
that’s what I asked, does it write it as faq/xxx into nlu training data? if not, I think it is a good idea to add it to interactive learning. Sorry for misunderstanding
Yes, that’s the case 
So, not feasible currently I guess, so I continue with manually editing.
Thank you!
would you like to make a PR to enable it?
Sure! How to make a PR?
Could you please create an issue on GitHub describing your suggestion for a feature.
Here is the description how to contribute: How to make a code contribution to Rasa