Characterizing Humour: An Exploration of Features in Humorous Texts

  • Authors:
  • Rada Mihalcea;Stephen Pulman

  • Affiliations:
  • Computer Science Department, University of North Texas, and Computational Linguistics Group, Oxford University,;Computational Linguistics Group, Oxford University,

  • Venue:
  • CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
  • Year:
  • 2009

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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.