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A Pinch of Humor for Short-Text Conversation: An Information Retrieval Approach

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Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10456))

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Abstract

The paper describes a work in progress on humorous response generation for short-text conversation using information retrieval approach. We gathered a large collection of funny tweets and implemented three baseline retrieval models: BM25, the query term reweighting model based on syntactic parsing and named entity recognition, and the doc2vec similarity model. We evaluated these models in two ways: in situ on a popular community question answering platform and in laboratory settings. The approach proved to be promising: even simple search techniques demonstrated satisfactory performance. The collection, test questions, evaluation protocol, and assessors’ judgments create a ground for future research towards more sophisticated models.

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Notes

  1. 1.

    https://www.apple.com/ios/siri/.

  2. 2.

    https://github.com/micyril/humor.

  3. 3.

    See for example http://www.hongkiat.com/blog/funny-twitter-accounts/.

  4. 4.

    https://github.com/ekzhu/datasketch.

  5. 5.

    https://twitter.com/MensHumor/status/360113491937472513.

  6. 6.

    https://answers.yahoo.com/dir/index?sid=396546041.

  7. 7.

    https://github.com/jhlau/doc2vec.

  8. 8.

    https://en.wikipedia.org/wiki/Big_Five_personality_traits.

  9. 9.

    http://eigentaste.berkeley.edu/about.html.

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Authors and Affiliations

  1. Ural Federal University, Yekaterinburg, Russia

    Vladislav Blinov, Kirill Mishchenko, Valeria Bolotova & Pavel Braslavski

Authors
  1. Vladislav Blinov
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  2. Kirill Mishchenko
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  3. Valeria Bolotova
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  4. Pavel Braslavski
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Corresponding author

Correspondence to Vladislav Blinov .

Editor information

Editors and Affiliations

  1. Dublin City University, Dublin, Ireland

    Gareth J.F. Jones

  2. Trinity College Dublin, Dublin, Ireland

    SĂ©amus Lawless

  3. National University of Distance Education, Madrid, Spain

    Julio Gonzalo

  4. Dublin City University, Dublin, Ireland

    Liadh Kelly

  5. Université Grenoble Alpes, Grenoble, France

    Lorraine Goeuriot

  6. University of Hildesheim, Hildesheim, Germany

    Thomas Mandl

  7. University of Padua, Padua, Italy

    Linda Cappellato

  8. University of Padua, Padua, Italy

    Nicola Ferro

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Blinov, V., Mishchenko, K., Bolotova, V., Braslavski, P. (2017). A Pinch of Humor for Short-Text Conversation: An Information Retrieval Approach. In: Jones, G., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2017. Lecture Notes in Computer Science(), vol 10456. Springer, Cham. https://doi.org/10.1007/978-3-319-65813-1_1

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  • DOI: https://doi.org/10.1007/978-3-319-65813-1_1

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