Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation

Silviu Vlad Oprea, Steven Wilson, Walid Magdy

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

Abstract / Description of output

Previous sarcasm generation research has focused on how to generate text that people perceive as sarcastic to create more human-like interactions. In this paper, we argue that we should first turn our attention to the question of when sarcasm should be generated, finding that humans consider sarcastic responses inappropriate to many input utterances. Next, we use a theory-driven framework for generating sarcastic responses, which allows us to control the linguistic devices included during generation. For each device, we investigate how much humans associate it with sarcasm, finding that pragmatic insincerity and emotional markers are devices crucial for making sarcasm recognisable.
Original languageEnglish
Title of host publicationProceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Subtitle of host publicationProceedings of the Conference, Vol. 1 (Long Papers)
EditorsSmaranda Muresan, Preslav Nakov, Aline Villavicencio
PublisherAssociation for Computational Linguistics
Pages7686-7700
Number of pages15
Volume1
ISBN (Print)978-1-955917-21-6
Publication statusPublished - 16 May 2022
Event60th Annual Meeting of the Association for Computational Linguistics - The Convention Centre Dublin, Dublin, Ireland
Duration: 22 May 202227 May 2022
https://www.2022.aclweb.org

Conference

Conference60th Annual Meeting of the Association for Computational Linguistics
Abbreviated titleACL 2022
Country/TerritoryIreland
CityDublin
Period22/05/2227/05/22
Internet address

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