DocumentCode
2641614
Title
Approximate joke similarity
Author
Taylor, Julia M. ; Mazlack, Lawrence J.
Author_Institution
Appl. Artificial Intelligence Lab., Cincinnati Univ., OH, USA
fYear
2005
fDate
26-28 June 2005
Firstpage
145
Lastpage
149
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.
Keywords
humanities; approximate joke similarity; humor theory; joke funniness level; Artificial intelligence; Cultural differences; Fuzzy logic; Humans; Laboratories; Natural language processing; Natural languages; Nearest neighbor searches; Particle measurements; Prototypes;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN
0-7803-9187-X
Type
conf
DOI
10.1109/NAFIPS.2005.1548523
Filename
1548523
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