Generate, Evaluate, and Select: A Dialogue System with a Response Evaluator for Diversity-Aware Response Generation

Ryoma Sakaeda, Daisuke Kawahara

研究成果: Conference contribution

抄録

We aim to overcome the lack of diversity in responses of current dialogue systems and to develop a dialogue system that is engaging as a conversational partner. We propose a generator-evaluator model that evaluates multiple responses generated by a response generator and selects the best response by an evaluator. By generating multiple responses, we obtain diverse responses. We conduct human evaluations to compare the output of the proposed system with that of a baseline system. The results of the human evaluations showed that the proposed system's responses were often judged to be better than the baseline system's, and indicated the effectiveness of the proposed method.

本文言語English
ホスト出版物のタイトルNAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics
ホスト出版物のサブタイトルHuman Language Technologies, Proceedings of the Student Research Workshop
出版社Association for Computational Linguistics (ACL)
ページ76-82
ページ数7
ISBN(電子版)9781955917735
出版ステータスPublished - 2022
イベントNAACL 2022 Student Research Workshop, SRW 2022, at 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022 - Seattle, United States
継続期間: 2022 7月 102022 7月 15

出版物シリーズ

名前NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Student Research Workshop

Conference

ConferenceNAACL 2022 Student Research Workshop, SRW 2022, at 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022
国/地域United States
CitySeattle
Period22/7/1022/7/15

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 情報システム
  • ソフトウェア

引用スタイル