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dc.contributor.authorMiller, Tristan
dc.contributor.authorHempelmann, Christian
dc.contributor.authorGurevych, Iryna
dc.date.accessioned2020-07-25T08:51:07Z
dc.date.available2020-07-25T08:51:07Z
dc.date.issued2017
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2445
dc.descriptionA 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.isoenen_US
dc.relationIsSupplementTo;DOI;10.18653/v1/S17-2005
dc.rightsCreative Commons Attribution 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.classification409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierungen_US
dc.subject.ddc004
dc.titleSense-annotated English Punsen_US
dc.typeDataseten_US
dc.typeSoftwareen_US


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Creative Commons Attribution 4.0
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0