Interactive learning for Rasa NLU entity recognition

I have just started using Rasa, had two questions

  1. 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.
  2. Is there a a way to use interactive learning on a jupyter notebook?

rasa x provides a way to see and correct data in the convenient format

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)