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Author Taylor, J.M. ♦ Mazlack, L.J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2005
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Natural languages ♦ Artificial intelligence ♦ Laboratories ♦ Nearest neighbor searches ♦ Humans ♦ Natural language processing ♦ Prototypes ♦ Particle measurements ♦ Fuzzy logic ♦ Cultural differences
Abstract Some jokes are funnier than others. How to algorithmically recognize the appropriate degree of funniness of jokes is not clear. We propose to establish a funniness level of a new joke based on a set of central jokes that contain jokes that are somewhat similar to the new one. Each joke of the central set can be associated with some funniness value. Funniness of a new joke can then be computed based on its similarity value with a known joke and a funniness value of a known joke. The similarity value of two jokes can be established from one of humor theories.
Description Author affiliation: Appl. Artificial Intelligence Lab., Cincinnati Univ., OH, USA (Taylor, J.M.; Mazlack, L.J.)
ISBN 078039187X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-06-26
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 1.18 MB
Page Count 5
Starting Page 145
Ending Page 149


Source: IEEE Xplore Digital Library