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The dialogue breakdown detection challenge: Task description, datasets, and evaluation metrics

Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)

DOI:10.63317/2bhhyzinkn7j

Abstract

Dialogue breakdown detection is a promising technique in dialogue systems. To promote the research and development of such a technique, we organized a dialogue breakdown detection challenge where the task is to detect a system's inappropriate utterances that lead to dialogue breakdowns in chat. This paper describes the design, datasets, and evaluation metrics for the challenge as well as the methods and results of the submitted runs of the participants.

Details

Paper ID
lrec2016-main-502
Pages
pp. 3146-3150
BibKey
higashinaka-etal-2016-dialogue
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
978-2-9517408-9-1
Conference
Tenth International Conference on Language Resources and Evaluation
Location
Portorož, Slovenia
Date
23 May 2016 28 May 2016

Authors

  • RH

    Ryuichiro Higashinaka

  • KF

    Kotaro Funakoshi

  • YK

    Yuka Kobayashi

  • MI

    Michimasa Inaba

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