Meet CAiRE, An End-to-End Empathetic Conversation Chatbot
Empathetic chatbots are conversational agents that can understand users’ emotion and reply appropriately. Incorporating empathy into the dialogue system is essential to achieve human-like conversations because naturally, humans express and perceive emotion in natural language to increase their sense of social bonding.
Practically, a multi-task training strategy with an additional objective function to optimize emotion label prediction of a conversation can produce more emotion-evoking and responses.
Center for Artificial Intelligence Research (CAiRE)
Hong Kong University of Science and Technology researchers recently presented an end-to-end empathetic conversation agent called CAiRE. Their system adapts TransferTransfo learning approach that fine-tunes a large-scale pre-trained language model with multi-task objectives including response language modeling, response prediction and dialogue emotion detection.
This model is trained with the full Transformer network architecture on 1.7 billion REDDIT conversations and fine-tunes pre-trained model using the Emotion Dialogue Dataset.
On evaluation with recently proposed empathetic-dialogues dataset CAiRE achieves state-of-the-art performance on dialogue emotion detection and empathetic response generation.
Potential Uses and Effects
Would you want an empathetic bot as a companion? Empathetic bots such as CAiRE are designed to cheerfully probe. Their emotion-laden responses and ability to probe longer answers can help improve engagement and people analysis with great potential to improve applications such as online surveys, games, entertainment, hiring, and more.
Read more: https://arxiv.org/abs/1907.12108v1
Thanks for reading. Please comment, share and remember to subscribe to our weekly newsletter for the most recent and interesting research papers! You can also follow me on Twitter, LinkedIn, and Facebook. Remember to 👏 if you enjoyed this article. Cheers!
