Computational humor

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

    Research output: Contribution to journalArticlepeer-review

    70 Citations (Scopus)


    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.
    Original languageEnglish
    Pages (from-to)59-69
    Number of pages11
    JournalIEEE Intelligent Systems
    Issue number2
    Publication statusPublished - 2006


    • Affective computing
    • Communication-related disabilities
    • Computational humor
    • Embodied conversational agents
    • Frame shifting


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