Characterizing Humour: An Exploration of Features in Humorous Texts

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.

• Type: Conference
• Year: 2007
• Where: CICLING
• Authors: Rada Mihalcea, Stephen G. Pulman
• Keywords: Automatic Humour Recognition, CICLING 2007, Humorous Texts, Natural Language Processing, Verbal Humour