Computational Humor

K. Binsted; J. Hendler; B van den Bergen; S. Coulson; A. Nijholt; O. Stock; C. Strapparava; G. Ritchie; R. Manurung; H. Pain; A. Waller; D. O'Mara

doi:10.1109/MIS.2006.22

Computational Humor

K. Binsted, J. Hendler (Editor), B van den Bergen, S. Coulson, A. Nijholt, O. Stock, C. Strapparava, G. Ritchie, R. Manurung, H. Pain, A. Waller, D. O'Mara

Research output: Contribution to journal › Article › Academic › peer-review

70 Citations (Scopus)

117 Downloads (Pure)

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.

Original language	Undefined
Pages (from-to)	59-69
Number of pages	11
Journal	IEEE intelligent systems
Volume	21
Issue number	2
DOIs	https://doi.org/10.1109/MIS.2006.22
Publication status	Published - Mar 2006

Keywords

EWI-8586
HMI-HF: Human Factors
HMI-IA: Intelligent Agents
METIS-237795
IR-66729

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10.1109/MIS.2006.22

Cite this

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T1 - Computational Humor

AU - Binsted, K.

AU - van den Bergen, B

AU - Coulson, S.

AU - Nijholt, A.

AU - Stock, O.

AU - Strapparava, C.

AU - Ritchie, G.

AU - Manurung, R.

AU - Pain, H.

AU - Waller, A.

AU - O'Mara, D.

A2 - Hendler, J.

PY - 2006/3

Y1 - 2006/3

N2 - 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.

AB - 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.

KW - EWI-8586

KW - HMI-HF: Human Factors

KW - HMI-IA: Intelligent Agents

KW - METIS-237795

KW - IR-66729

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DO - 10.1109/MIS.2006.22

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SP - 59

EP - 69

JO - IEEE intelligent systems

JF - IEEE intelligent systems

IS - 2

ER -

Computational Humor

Abstract

Keywords

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