Modeling Intention, Emotion and External World in Dialogue Systems

Intention, emotion and action are important elements in human activities. Modeling the interaction process between individuals by analyzing the relationships between these elements is a challenging task. However, previous work mainly focused on modeling intention and emotion independently, and negle...

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Bibliographic Details
Published inICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 7042 - 7046
Main Authors Peng, Wei, Hu, Yue, Xing, Luxi, Xie, Yuqiang, Zhang, Xingsheng, Sun, Yajing
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.05.2022
Subjects
Acoustics
Analytical models
Conferences
Emotion Prediction
Human Interaction
Intention Recognition
Psychology
Rain
Signal processing
Speech recognition
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Summary:Intention, emotion and action are important elements in human activities. Modeling the interaction process between individuals by analyzing the relationships between these elements is a challenging task. However, previous work mainly focused on modeling intention and emotion independently, and neglected of exploring the mutual relationships between intention and emotion. In this paper, we propose a RelAtion Interaction Network (RAIN), consisting of Intention Relation Module and Emotion Relation Module, to jointly model mutual relationships and explicitly integrate historical intention information. The experiments on the dataset show that our model can take full advantage of the intention, emotion and action between individuals and achieve a remarkable improvement over BERT-style baselines. Qualitative analysis verifies the importance of the mutual interaction between the intention and emotion.
ISSN:2379-190X
DOI:10.1109/ICASSP43922.2022.9747565