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Making computers laugh: investigations in automatic humor recognition
Open accessAbstract
Humor is one of the most interesting and puzzling aspects of human behavior. Despite the attention it has received in fields such as philosophy, linguistics, and psychology, there have been only few attempts to create computational models for humor recognition or generation. In this paper, we bring empirical evidence that computational approaches can be successfully applied to the task of humor recognition. Through experiments performed on very large data sets, we show that automatic classification techniques can be effectively used to distinguish between humorous and non-humorous texts, with significant improvements observed over apriori known baselines.
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WordNet: a lexical database for English
Miller, G. A. (1995) · Communications of the ACM · doi:10.1145/219717.219748 · Cited by 14,015
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Can Large Language Models Transform Computational Social Science?
Ziems, C., Held, W., Shaikh, O., Chen, J., Zhang, Z., & Yang, D. (2024) · Computational Linguistics · doi:10.1162/coli_a_00502 · Cited by 585
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv · doi:10.48550/arxiv.2206.04615 · Cited by 569
Automatic Detection of Fake News
Pérez‐Rosas, V., Kleinberg, B., Lefevre, A., & Mihalcea, R. F. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1708.07104 · Cited by 502
Self-citationTsur, O., Davidov, D., & Rappoport, A. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14018 · Cited by 347
Metadata
- Authors
- Mihalcea, R., & Strapparava, C.
- Venue
- Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05
- Published
- 2005
- Pages
- 531-538
- OpenAlex
- W2090915937
- Cited by
- 224
- References
- 1
- FWCI
- 5.85
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Mihalcea, R., & Strapparava, C. (2005). Making computers laugh: investigations in automatic humor recognition. Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05. https://doi.org/10.3115/1220575.1220642
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