JDCFC: A Japanese dialogue corpus with feature changes

Tetsuaki Nakamura, Daisuke Kawahara

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

Abstract

In recent years, the importance of dialogue understanding systems has been increasing. However, it is difficult for computers to deeply understand our daily conversations because we frequently use emotional expressions in conversations. This is partially because there are no large-scale corpora focusing on the detailed relationships between emotions and utterances. In this paper, we propose a dialogue corpus constructed based on our knowledge base, called the Japanese Feature Change Knowledge Base (JFCKB). In JFCKB and the proposed corpus, the feature changes (mainly emotions) of arguments in event sentences (or utterances) and those of the event sentence recognizers (or utterance recognizers) are associated with the event sentences (or utterances). The feature change information of arguments in utterances and those of the utterance recognizers, replies to the utterances, and the reasonableness of the replies were gathered through crowdsourcing tasks. We conducted an experiment to investigate whether a machine learning method can recognize the reasonableness of a given conversation. Experimental result suggested the usefulness of our proposed corpus.

Original languageEnglish
Title of host publicationLREC 2018 - 11th International Conference on Language Resources and Evaluation
EditorsHitoshi Isahara, Bente Maegaard, Stelios Piperidis, Christopher Cieri, Thierry Declerck, Koiti Hasida, Helene Mazo, Khalid Choukri, Sara Goggi, Joseph Mariani, Asuncion Moreno, Nicoletta Calzolari, Jan Odijk, Takenobu Tokunaga
PublisherEuropean Language Resources Association (ELRA)
Pages2915-2921
Number of pages7
ISBN (Electronic)9791095546009
Publication statusPublished - 2019
Externally publishedYes
Event11th International Conference on Language Resources and Evaluation, LREC 2018 - Miyazaki, Japan
Duration: 2018 May 72018 May 12

Publication series

NameLREC 2018 - 11th International Conference on Language Resources and Evaluation

Other

Other11th International Conference on Language Resources and Evaluation, LREC 2018
CountryJapan
CityMiyazaki
Period18/5/718/5/12

Keywords

  • Commonsense knowledge
  • Crowdsourcing
  • Dialogue corpus
  • Emotion
  • LSTM
  • Neural network

ASJC Scopus subject areas

  • Linguistics and Language
  • Education
  • Library and Information Sciences
  • Language and Linguistics

Fingerprint Dive into the research topics of 'JDCFC: A Japanese dialogue corpus with feature changes'. Together they form a unique fingerprint.

  • Cite this

    Nakamura, T., & Kawahara, D. (2019). JDCFC: A Japanese dialogue corpus with feature changes. In H. Isahara, B. Maegaard, S. Piperidis, C. Cieri, T. Declerck, K. Hasida, H. Mazo, K. Choukri, S. Goggi, J. Mariani, A. Moreno, N. Calzolari, J. Odijk, & T. Tokunaga (Eds.), LREC 2018 - 11th International Conference on Language Resources and Evaluation (pp. 2915-2921). (LREC 2018 - 11th International Conference on Language Resources and Evaluation). European Language Resources Association (ELRA).