Multi-Task Learning of Generation and Classification for Emotion-Aware Dialogue Response Generation

Tatsuya Ide, Daisuke Kawahara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

For a computer to naturally interact with a human, it needs to be human-like. In this paper, we propose a neural response generation model with multi-task learning of generation and classification, focusing on emotion. Our model based on BART (Lewis et al., 2020), a pre-trained transformer encoder-decoder model, is trained to generate responses and recognize emotions simultaneously. Furthermore, we weight the losses for the tasks to control the update of parameters. Automatic evaluations and crowdsourced manual evaluations show that the proposed model makes generated responses more emotionally aware.

Original languageEnglish
Title of host publicationNAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publicationHuman Language Technologies, Proceedings of the Student Research Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages119-125
Number of pages7
ISBN (Electronic)9781954085503
Publication statusPublished - 2021
EventNAACL 2021 Student Research Workshop, SRW 2021, at 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021 - Virtual, Online
Duration: 2021 Jun 62021 Jun 11

Publication series

NameNAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Student Research Workshop

Conference

ConferenceNAACL 2021 Student Research Workshop, SRW 2021, at 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021
CityVirtual, Online
Period21/6/621/6/11

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Computer Networks and Communications
  • Hardware and Architecture

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