Computational Humor
IEEE Intelligent Systems2006Vol. 21(2), pp. 59–69
Citations Over TimeTop 10% of 2006 papers
Kim Binsted, Benjamin K. Bergen, Seana Coulson, Anton Nijholt, Oliviero Stock, Carlo Strapparava, Graéme Ritchie, Hendra Manurung, Helen Pain, Annalu Waller, Dave O’Mara
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.