Characterizing Humour: An Exploration of Features in Humorous Texts

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Description

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 1198 times , with 8 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.

Physical Description

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

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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  • February 2007

Added to The UNT Digital Library

  • 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 September 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.