Towards Automated Emotional Conversation Generation with Implicit and Explicit Affective Strategy

Building an empathic conversation machine in open-domain is a promising research topic in natural language processing. However, most current approaches rely on designated emotions to conduct generating responses and lack the ability to decide the appropriate emotion strategy. In this paper, we propose a dialogue model of jointly predicting and generating emotions called DRCVAE, which stands for Decoupled Representations of Conditional Variational Autoencoders.