Response generation reflecting the personality of a chat dialogue system

Toru Sugimoto, Yusuke Temmanya

研究成果: Conference contribution

抄録

This paper investigates the relationship between speakers' personalities and their utterances in dialogue, and propose a response generation method that reflects the personality of a chat dialogue system. We construct a corpus of utterances by persons with specific personality features, and calculate percentages of various types of speech act. From the analysis result, features of utterances by various personalities are extracted. With these utterance features, response generation strategies for specific personality features are designed and implemented in a simple chat dialogue system. The experimental result shows that the personality features of 'shyness' and 'nurturing parent' are appropriately reflected in our dialogue system.

本文言語English
ホスト出版物のタイトル2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728197326
DOI
出版ステータスPublished - 2020 12月 5
イベントJoint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020 - Virtual, Tokyo, Japan
継続期間: 2020 12月 52020 12月 8

出版物シリーズ

名前2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020

Conference

ConferenceJoint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020
国/地域Japan
CityVirtual, Tokyo
Period20/12/520/12/8

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア
  • 計算数学

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