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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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Published in: | IEEE intelligent systems 2006-03, Vol.21 (2), p.59-69 |
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Main Authors: | , , , , , , , , |
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cites | cdi_FETCH-LOGICAL-c346t-fe5997818557a37359d012bde3209b784db1fe556ec7a93fccb95805097d75093 |
container_end_page | 69 |
container_issue | 2 |
container_start_page | 59 |
container_title | IEEE intelligent systems |
container_volume | 21 |
creator | Binsted, K. Nijholt, A. Stock, O. Strapparava, C. Ritchie, G. Manurung, R. Pain, H. Waller, A. O'Mara, D. |
description | 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. |
doi_str_mv | 10.1109/MIS.2006.22 |
format | article |
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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.</description><identifier>ISSN: 1541-1672</identifier><identifier>EISSN: 1941-1294</identifier><identifier>DOI: 10.1109/MIS.2006.22</identifier><identifier>CODEN: IISYF7</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>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. 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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.</description><subject>Advertising</subject><subject>affective computing</subject><subject>Analytical models</subject><subject>Application software</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Brain modeling</subject><subject>Cognition</subject><subject>Cognitive robotics</subject><subject>Combinatorial analysis</subject><subject>communication-related disabilities</subject><subject>Computation</subject><subject>computational humor</subject><subject>Computational modeling</subject><subject>Computer applications</subject><subject>Computer science; control theory; systems</subject><subject>Computer simulation</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Control theory. Systems</subject><subject>embodied conversational agents</subject><subject>Exact sciences and technology</subject><subject>frame shifting</subject><subject>Human</subject><subject>Humans</subject><subject>Natural languages</subject><subject>Representations</subject><subject>Robotics</subject><subject>Semantics</subject><subject>Software</subject><subject>Speech and sound recognition and synthesis. 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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 |
title | Computational humor |
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