Characterizing Humour: An Exploration of Features in Humorous Texts

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This paper investigates the problem of automatic humor recognition, and provides an 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, the authors show that these properties of verbal humor are consisted across different data sets.

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11 p.

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Mihalcea, Rada, 1974- & Pulman, Stephen February 2007.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 1378 times , with 5 in the last month . More information about this paper can be viewed below.

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This paper investigates the problem of automatic humor recognition, and provides an 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, the authors show that these properties of verbal humor are consisted across different data sets.

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11 p.

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  • Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2007, Springer, Mexico City, Mexico

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UNT Scholarly Works

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  • February 2007

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  • Jan. 31, 2011, 2:01 p.m.

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  • March 19, 2013, 2:38 p.m.

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Mihalcea, Rada, 1974- & Pulman, Stephen. Characterizing Humour: An Exploration of Features in Humorous Texts, paper, February 2007; (digital.library.unt.edu/ark:/67531/metadc30988/: accessed December 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.