EMNLP 2020 findings paper "Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback"
Based on style-transformer, we implement style-bart to incorporate bart model in transforming feedback conversation data into human bot conversation data.
The bart model is pre-trained with chatbot training data, so it can produce the response from the given context.
Notebooks are used to get several baseline scores of regex and polyencoder
New chatbot training data samples transformed by style-bart from feedback data.