LaSTUS/TALN at HAHA: Humor Analysis based on Human Annotation

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dc.contributor.authorAltin, Lutfiye Seda Mut
dc.contributor.authorBravo Serrano, Àlex, 1984-
dc.contributor.authorSaggion, Horacio
dc.date.accessioned2022-10-06T05:47:41Z
dc.date.available2022-10-06T05:47:41Z
dc.date.issued2019
dc.descriptionComunicació presentada a: Iberian Languages Evaluation Forum (IberLEF 2019), celebrat el 24 de setembre de 2019 a Bilbao, Espanya.
dc.description.abstractIn this paper we describe the participation of LaSTUS/TALN team in the shared task:“Humor Analysis based on Human Annotation” (HAHA) at the Spanish Society for Natural Language Processing (SEPLN) organized in the context of IberLEF 2019. HAHA onjective is the classification of tweets in Spanish as humorous or not, also identifying the level of funniness. This paper presents a multi-task learning approach based on bidirectional long short-term memory (biLSTM) models. The paper presents and discusses the official results achieved by our team
dc.format.mimetypeapplication/pdf
dc.identifier.citationAltin LSM, Bravo A, Saggion H. LaSTUS/TALN at HAHA: Humor Analysis based on Human Annotation. In: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019); 2019 Sep 24; Bilbao, Espanya. [Bilbao]: CEUR Workshop Proceedings Series;2019. p. 145-50.
dc.identifier.urihttp://hdl.handle.net/10230/54283
dc.language.isoeng
dc.publisherCEUR Workshop Proceedings
dc.relation.ispartofProceedings of the Iberian Languages Evaluation Forum (IberLEF 2019); 2019 Sep 24; Bilbao, Espanya. [Bilbao]: CEUR Workshop Proceedings Series;2019. p. 145-50.
dc.rightsCopyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subject.keywordNatural Language Processing
dc.subject.keywordHumor Analysis
dc.subject.keywordNeural Networks
dc.subject.keywordSpanish Language
dc.titleLaSTUS/TALN at HAHA: Humor Analysis based on Human Annotation
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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