Survey of Affective-Based Dialogue System

• Main Author: ZHUANG Yin, LIU Zhen, LIU Tingting, WANG Yuanyi, LIU Cuijuan, CHAI Yanjie
• Format: Article
• Language: zho
• Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-05-01
• Series: Jisuanji kexue yu tansuo
• Subjects: emotional dialogue system; dialogue emotional perception; generation of emotional dialogue
• Online Access: http://fcst.ceaj.org/CN/abstract/abstract2684.shtml

As an important way of human-computer interaction, the dialogue system has broad application prospects. Existing dialogue systems focus on solving problems such as semantic consistency and content richness and paying little attention to improving human-computer interaction and human-computer resonance. How to make the generated sentences communicate with users more naturally on the basis of semantic relevance is one of the main problems in current dialogue system. First, it summarizes the overall situation of the dialogue system. Then it introduces the two major tasks of dialogue emotion perception and emotional dialogue generation in the emotional dialogue system. And further it investigates and summarizes related methods respectively. Dialogue emotion perception tasks are roughly divided into context-based and user-based methods. The emotional dialogue generation methods include rule matching algorithms, specified emotional response generation models, and non-specified emotional response generation models. The models are compared and analyzed in terms of emotional data categories and model methods. Next, for subsequent research, it summarizes characteristics and links of the data sets under the two major tasks. Further, different evaluation methods in the current emotional dialogue system are summarized. Finally, the work of the emotional dialogue system is summarized and prospected.