Abstract
This paper investigates the problem of automatic humour recognition, and provides and in-depth analysis of two of the most frequently observed features of humorous text: human-centeredness and negative polarity. Through experiments performed on two collections of humorous texts, we show that these properties of verbal humour are consistent across different data sets.
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Mihalcea, R., Pulman, S. (2007). Characterizing Humour: An Exploration of Features in Humorous Texts. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2007. Lecture Notes in Computer Science, vol 4394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70939-8_30
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DOI: https://doi.org/10.1007/978-3-540-70939-8_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70938-1
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