Dialogue Response Generation for Text-Based Dialogue Systems with Emotion Regulation

Author:

KATAYAMA Shin1,YONEZAWA Takuro1,KAWAGUCHI Nobuo1

Affiliation:

1. Graduate School of Engineering, Nagoya University

Funder

Core Research for Evolutional Science and Technology

National Institute of Information and Communications Technology

Publisher

Japan Society for Fuzzy Theory and Intelligent Informatics

Subject

General Medicine

Reference50 articles.

1. [1] R. W. Picard: Affective Computing, The MIT Press, 2000.

2. [2] H. Prendinger, J. Mori, and M. Ishizuka: “Using human physiology to evaluate subtle expressivity of a virtual quizmaster in a mathematical game,” Int. J. of Human-Computer Studies, Vol.62, No.2, pp. 231-245, 2005.

3. [3] H. Prendinger and M. Ishizuka: “The empathic companion: A character-based interface that addresses users’ affecive states,” Applied Artificial Intelligence, Vol.19, Nos.3-4, pp. 267-285, 2005.

4. [4] D. Lee, K.-J. Oh, and H.-J. Choi: “The chatbot feels you – a counseling service using emotional response generation,” Proc. of the 2017 IEEE Int. Conf. on Big Data and Smart Computing (BigComp), Feb. 13-16, Jeju Island, pp. 437-440, 2017.

5. [5] J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova: “BERT: Pre-training of deep bidirectional transformers for language understanding,” arXiv preprint, arXiv:1810.04805, 2018.

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