Empathetic Dialog Systems
Pascale Fung, Dario Bertero, Peng Xu, Ji Ho Park, Chien-Sheng Wu, Andrea Madotto · Rare & Special e-Zone (The Hong Kong University of Science and Technology) · 2018
In this paper, we outline an approach of end-to-end interactive systems with emotional embeddings, which are transfered from a large corpus. We show how to apply emotional embeddings trained from Twitter databases with hashtags and emojis as labels in a regression task. We also show that task-oriented dialog systems can be cast in an end-to-end framework using recurrent entity networks and dynamic query memory networks. In addition, we propose to include emotional embeddings into this framework for a more empathetic human-machine interactions. Finally, we show how to train an end-to-end open-domain dialog systems with deep reinforcement learning that learns a sense of humour from TV sitcoms. © LREC 2018 - 11th International Conference on Language Resources and Evaluation. All rights reserved.