I have noticed that whenever i train my chatbot with TEDPolicy my chatbot is likely to utter random responses that are extracted from the middle of one of my stories.
Some of my stories I have a question that requires user to give a one worded ‘inform’ answer. If a user randomly decides to utter that ‘inform’ when not inside a story, the chatbot will still respond with the follow up response from one of the stories, which seems unnatural.
Meanwhile I do not have this issue with KerasPolicy which triggers action_default_fallback if user attempts to utter inform at the start of the conversation without entering the story. How do I fix this behavior on TED or is this a limitation of the TEDPolicy?
Although I see the benefits it can have I do not have any stories that can benefit from this scenerio, I dont want the chatbot responding “Got it! one pizza coming up” every time a user randomly just says “Yes” to the chatbot.