Abstract
In this paper, we investigate the problem of the humor detection for Russian language. For experiments, we used a large collection of jokes from social media and a contrast collection of non-funny sentences, as well as a small collection of puns. We implemented a large set of features and trained several SVM classifiers. The results are promising and establish a baseline for further research in this direction.
Stierlitz is a Soviet spy working deep undercover in Nazi Germany, a protagonist of a TV series from 1972 based on a novel by Yulian Semionov. Stierlitz became a popular joke character in Soviet and post-Soviet culture.
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Acknowledgments
We thank Valeria Bolotova and Vladislav Blinov for sharing their humor dataset, as well as Natalia Loukachevitch for providing us with the RuWordNet data.
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Ermilov, A., Murashkina, N., Goryacheva, V., Braslavski, P. (2018). Stierlitz Meets SVM: Humor Detection in Russian. In: Ustalov, D., Filchenkov, A., Pivovarova, L., Žižka, J. (eds) Artificial Intelligence and Natural Language. AINL 2018. Communications in Computer and Information Science, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-030-01204-5_17
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DOI: https://doi.org/10.1007/978-3-030-01204-5_17
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