Open AccessEmotional Response Generation in Multi-Turn Dialogue
Author(s) -
Jinyao Yang,
Chunhua Wu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1827/1/012124
Subject(s) - dialog box , focus (optics) , turn taking , computer science , dialog system , emotional expression , expression (computer science) , artificial intelligence , human–computer interaction , cognitive psychology , psychology , communication , conversation , world wide web , physics , optics , programming language
The research on emotional response generation is one of the directions in dialog system research. However, most of the researches on emotional dialog generation focus on the expression of expected emotion in single round dialogue. In this paper, we propose a method to model the emotion in multi-turn dialogue. Our model bases on a proposed model: Emotional Chatting Machine, and solves the problem of ECM model that which emotion should be used to the response. We compared the effects of various models and finally chose LSTM to model emotions in multi-turn dialogue. Experiments show that the performance of the dialogue system can be effectively improved by modelling emotion in multi-turn dialogue.