Computational humor

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 langu...

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Bibliographic Details
Published in:IEEE intelligent systems 2006-03, Vol.21 (2), p.59-69
Main Authors: Binsted, K., Nijholt, A., Stock, O., Strapparava, C., Ritchie, G., Manurung, R., Pain, H., Waller, A., O'Mara, D.
Format: Article
Language:English
Subjects:
Advertising
affective computing
Analytical models
Application software
Applied sciences
Artificial intelligence
Brain modeling
Cognition
Cognitive robotics
Combinatorial analysis
communication-related disabilities
Computation
computational humor
Computational modeling
Computer applications
Computer science
control theory
systems
Computer simulation
Computer systems and distributed systems. User interface
Control theory. Systems
embodied conversational agents
Exact sciences and technology
frame shifting
Human
Humans
Natural languages
Representations
Robotics
Semantics
Software
Speech and sound recognition and synthesis. Linguistics
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Summary: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.
ISSN:1541-1672
1941-1294
DOI:10.1109/MIS.2006.22