Generating Informative Dialogue Responses with Keywords-Guided Networks

Heng-Da Xu, Xian-Ling Mao, Zewen Chi, Fanshu Sun, Jing-Jing Zhu, Heyan Huang

Abstract: Recently, open-domain dialogue systems have attracted growing attention. Most of them use the sequence-to-sequence (Seq2Seq) architecture to generate dialogue responses. However, traditional Seq2Seq-based open-domain dialogue models tend to generate generic and safe responses, which are less informative, unlike human responses. In this paper, we propose a simple but effective