Abstract
Humour is one of the most amazing characteristics that defines us as human beings and social entities. Its study supposes a deep insight into several areas such as linguistics, psychology or philosophy. From the Natural Language Processing (NLP) perspective, recent researches have shown that humour can be automatically generated and recognized with some success. In this work we present a study carried out on a collection of English texts in order to investigate whether or not semantic and morphosyntactic ambiguities may be employed as features in the automatic humour recognition task. The results we have obtained show that it is possible to discriminate humorous from non humorous sentences through features like perplexity or sense dispersion.
We would like to thank Rada Mihalcea and Carlo Strapparava for kindly sharing their one-liners corpus. The MiDEs (CICYT TIN2006-15265-C06) and TeLMoSis (UPV PAID083294) research projects have partially funded this work. The National Council for Science and Technology (CONACyT - Mexico) has funded the research work of Antonio Reyes.
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Reyes, A., Buscaldi, D., Rosso, P. (2010). The Impact of Semantic and Morphosyntactic Ambiguity on Automatic Humour Recognition. In: Horacek, H., Métais, E., Muñoz, R., Wolska, M. (eds) Natural Language Processing and Information Systems. NLDB 2009. Lecture Notes in Computer Science, vol 5723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12550-8_11
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DOI: https://doi.org/10.1007/978-3-642-12550-8_11
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