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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.classification4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahrenen_US
dc.subject.classification4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing
dc.subject.ddc004
dc.titleSense-annotated English Punsen_US
dc.typeDataseten_US
dc.typeSoftwareen_US
tud.history.classificationVersion=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung


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