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Computational humor

Computational humor

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Authors

  • K. Binsted
  • A. Nijholt
  • O. Stock
  • C. Strapparava
  • G. Ritchie
  • R. Manurung
  • H. Pain
  • A. Waller
  • D. O'Mara

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Info

Original languageEnglish
Pages (from-to)59-69
Number of pages11
JournalIEEE Intelligent Systems
Volume21
Issue number2
DOIs
StatePublished - 2006

Abstract

In an effort to focus on tractable problems, computational natural language understanding systems have typically addressed language phenomena that are amenable to combinatorial approaches using static and stereotypical semantic representations. Although such approaches are adequate for much of language, they're not easily extended to capture humans' more creative language interpretation capacities. This paper proposes a model of humor comprehension based on frame-shifting within a simulation-based natural-language-understanding system.

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