Miller, Tristan ; Hempelmann, Christian ; Gurevych, Iryna (2017)
SemEval-2017 Task 7: Detection and Interpretation of English Puns.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Miller, Tristan ; Hempelmann, Christian ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | SemEval-2017 Task 7: Detection and Interpretation of English Puns |
| Sprache: | Englisch |
| Publikationsjahr: | August 2017 |
| Verlag: | Association for Computational Linguistics |
| Buchtitel: | Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) |
| URL / URN: | http://www.aclweb.org/anthology/S17-2005 |
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| Kurzbeschreibung (Abstract): | 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. |
| Freie Schlagworte: | reviewed;UKP_reviewed |
| ID-Nummer: | TUD-CS-2017-0118 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
| Hinterlegungsdatum: | 31 Mai 2017 13:52 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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