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Media type:
Conference Proceedings;
E-Article
Title:
A Survey on Approaches to Computational Humor Generation
Contributor:
Amin, Miriam
[Author];
Burghardt, Manuel
[Author]
Published:
ohne Ort: International Committee on Computational Linguistics, [2024]
Published in:Proceedings of the The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LateCH), co-located with COLING’2020
Description:
We provide a comprehensive overview of existing systems for the computational generation of verbal humor in the form of jokes and short humorous texts. Considering linguistic humor theories, we analyze the systematic strengths and drawbacks of the different approaches. In addition, we show how the systems have been evaluated so far and propose two evaluation criteria: humorousness and complexity. From our analysis of the field, we conclude new directions for the advancement of computational humor generation.