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Humorous wordplay recognition

Authors: Julia M. Taylor; Lawrence J. Mazlack;

Humorous wordplay recognition

Abstract

Computationally recognizing humor is an aspect of natural language understanding. Although there appears to be no complete computational model for recognizing verbal humor, it may be possible to recognize jokes based on statistical language recognition techniques. Computational humor recognition was investigated. A restricted set of all possible jokes that have wordplay as a component was considered. The limited domain of "knock knock" jokes was examined. A created wordplay generator produces an utterance that is similar in pronunciation to a given word, and the wordplay recognizer determines if the utterance is valid. Once a possible wordplay is discovered, a joke recognizer determines if a found wordplay transforms the text into a joke.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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