Characterizing Humour: An Exploration of Features in Humorous Texts

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.

Creator(s):
Creation Date: February 2007
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Total Uses: 475
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Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Creator (Author):
Pulman, Stephen

University of Oxford

Date(s):
  • Creation: February 2007
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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Physical Description:

11 p.

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Subject(s):
Keyword(s): humor recognition | human-centeredness | negative polarity
Source: Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2007, Springer, Mexico City, Mexico
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc30988
Resource Type: Paper
Format: Text
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Access: Public