Is there interactive learning for rasa NLU? I would need this to correct the entities that the model identifies wrongly and add the corrected sentence to my training data.
Is there a a way to use interactive learning on a jupyter notebook?
From what I have read, correct me if i am wrong, Rasa-x helps with feedback on incorrect intents,
is there support for marking the incorrect entities that the entity extractor identifies?
@noopurv The NLU Inbox in Rasa X shows you all messages your assistant has received that are not in your training data. You can see and correct both intent classifications (dropdown) and any entity extractions (highlights)
