TUdatalib : Sense-annotated English Puns

dc.contributor.author	Miller, Tristan
dc.contributor.author	Hempelmann, Christian
dc.contributor.author	Gurevych, Iryna
dc.date.accessioned	2020-07-25T08:51:07Z
dc.date.available	2020-07-25T08:51:07Z
dc.date.issued	2017
dc.identifier.uri	https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2445
dc.description	A pun is a form of wordplay in which a word suggests two or more meanings by exploiting polysemy, homonymy, or phonological similarity to another word, for an intended humorous or rhetorical effect. Though a recurrent and expected feature in many discourse types, puns stymie traditional approaches to computational lexical semantics because they violate their one-sense-per-context assumption. This paper describes the first competitive evaluation for the automatic detection, location, and interpretation of puns. We describe the motivation for these tasks, the evaluation methods, and the manually annotated data set. Finally, we present an overview and discussion of the participating systems’ methodologies, resources, and results.	en_US
dc.language.iso	en	en_US
dc.relation	IsSupplementTo;DOI;10.18653/v1/S17-2005
dc.rights	Creative Commons Attribution 4.0
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject.classification	409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung	en_US
dc.subject.ddc	004
dc.title	Sense-annotated English Puns	en_US
dc.type	Dataset	en_US
dc.type	Software	en_US

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