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.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:92151 |
| Date | 20 June 2024 |
| Creators | Amin, Miriam, Burghardt, Manuel |
| Publisher | International Committee on Computational Linguistics |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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