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- W131221985 abstract "The actual trends in NLP are focusing on analysing knowledge beyond the language: moods, sentiments, attitudes, etc. In this paper we focused on studying the importance of affectiveness information for humour recognition. Several experiments were performed over 7,500 blogs using some features reported in the literature, besides a set of new ones. A classification task was executed in order to verify the features relevance. The results indicate an interesting behaviour regarding to affective information." @default.
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- W131221985 date "2009-01-01" @default.
- W131221985 modified "2023-09-23" @default.
- W131221985 title "Affect-based Features for Humour Recognition" @default.
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