COMPUTATIONAL RECOGNITION OF HUMOR IN A FOCUSED DOMAIN

COMPUTATIONAL RECOGNITION OF HUMOR IN A FOCUSED DOMAIN

Bibliographic Details
Main Author: TAYLOR, JULIA MICHELLE
Language:English
Published: University of Cincinnati / OhioLINK 2004
Subjects:
Computer Science
AI
Computational humor
Jokes
Computational Joke Recognition
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1085641609
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin10856416092021-08-03T06:09:46Z COMPUTATIONAL RECOGNITION OF HUMOR IN A FOCUSED DOMAIN TAYLOR, JULIA MICHELLE Computer Science AI Computational humor Jokes Computational Joke Recognition With advancing developments of artificial intelligence, humor researchers have begun to look at approaches for computational humor. Although there appears to be no complete computational model for recognizing verbally expressed humor, it may be possible to recognize jokes based on statistical language recognition techniques. This is an investigation into computational humor recognition. It considers a restricted set of all possible jokes that have wordplay as a component and examines the limited domain of “Knock Knock” jokes. The method uses Raskin's Theory of Humor for its theoretical foundation. The original phrase and the complimentary wordplay have two different scripts that overlap in the setup of the joke. The algorithm deployed learns statistical patterns of text in N-grams and provides a heuristic focus for a location of where wordplay may or may not occur. It uses a wordplay generator to produce an utterance that is similar in pronunciation to a given word, and the wordplay recognizer determines if the utterance is valid by using N-gram. Once a possible wordplay is discovered, a joke recognizer determines if a found wordplay transforms the text into a joke. 2004-10-06 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1085641609 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1085641609 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Computer Science
AI
Computational humor
Jokes
Computational Joke Recognition
spellingShingle Computer Science
AI
Computational humor
Jokes
Computational Joke Recognition
TAYLOR, JULIA MICHELLE
COMPUTATIONAL RECOGNITION OF HUMOR IN A FOCUSED DOMAIN
author TAYLOR, JULIA MICHELLE
author_facet TAYLOR, JULIA MICHELLE
author_sort TAYLOR, JULIA MICHELLE
title COMPUTATIONAL RECOGNITION OF HUMOR IN A FOCUSED DOMAIN
title_short COMPUTATIONAL RECOGNITION OF HUMOR IN A FOCUSED DOMAIN
title_full COMPUTATIONAL RECOGNITION OF HUMOR IN A FOCUSED DOMAIN
title_fullStr COMPUTATIONAL RECOGNITION OF HUMOR IN A FOCUSED DOMAIN
title_full_unstemmed COMPUTATIONAL RECOGNITION OF HUMOR IN A FOCUSED DOMAIN
title_sort computational recognition of humor in a focused domain
publisher University of Cincinnati / OhioLINK
publishDate 2004
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1085641609
work_keys_str_mv AT taylorjuliamichelle computationalrecognitionofhumorinafocuseddomain
_version_ 1719431927900930048

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