Abstract
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.- Anthology ID:
- 2020.latechclfl-1.4
- Volume:
- Proceedings of the 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
- Month:
- December
- Year:
- 2020
- Address:
- Online
- Editors:
- Stefania DeGaetano, Anna Kazantseva, Nils Reiter, Stan Szpakowicz
- Venue:
- LaTeCHCLfL
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 29–41
- Language:
- URL:
- https://aclanthology.org/2020.latechclfl-1.4
- DOI:
- Cite (ACL):
- Miriam Amin and Manuel Burghardt. 2020. A Survey on Approaches to Computational Humor Generation. In Proceedings of the 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 29–41, Online. International Committee on Computational Linguistics.
- Cite (Informal):
- A Survey on Approaches to Computational Humor Generation (Amin & Burghardt, LaTeCHCLfL 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.latechclfl-1.4.pdf
- Data
- ConceptNet