Humor utterance generation for non-task-oriented dialogue systems

Shohei Fujikura, Yoshito Ogawa, Hideaki Kikuchi

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


    We propose a humor utterance generation method that is compatible with dialogue systems, to increase "desire of continuing dialogue". A dialogue system retrieves leading-item: noun pairs from Twitter as knowledge and attempts to select the most humorous reply using word similarity, which reveals that incongruity can be explained by the incongruity-resolution model. We consider the differences among individuals, and confirm the validity of the proposed method. Ex-perimental results indicate that high-incongruity replies are significantly effective against low-incongruity replies with a limited condition.

    Original languageEnglish
    Title of host publicationHAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction
    PublisherAssociation for Computing Machinery, Inc
    Number of pages3
    ISBN (Print)9781450335270
    Publication statusPublished - 2015 Oct 21
    Event3rd International Conference on Human-Agent Interaction, HAI 2015 - Daegu, Korea, Republic of
    Duration: 2015 Oct 212015 Oct 24


    Other3rd International Conference on Human-Agent Interaction, HAI 2015
    CountryKorea, Republic of


    • Desire of continuing dialogue
    • Dialogue system
    • Humor generation
    • Non-task-oriented

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Artificial Intelligence
    • Software

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