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On the difficulty of automatically detecting irony: beyond a simple case of negation

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On the difficulty of automatically detecting irony: beyond a simple case of negation

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dc.contributor.author Reyes Pérez, Antonio es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2014-09-26T17:08:07Z
dc.date.issued 2014-09
dc.identifier.issn 0219-1377
dc.identifier.uri http://hdl.handle.net/10251/40330
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/s10115-013-0652-8 es_ES
dc.description.abstract It is well known that irony is one of the most subtle devices used to, in a refined way and without a negation marker, deny what is literally said. As such, its automatic detection would represent valuable knowledge regarding tasks as diverse as sentiment analysis, information extraction, or decision making. The research described in this article is focused on identifying key values of components to represent underlying characteristics of this linguistic phenomenon. In the absence of a negation marker, we focus on representing the core of irony by means of three conceptual layers. These layers involve 8 different textual features. By representing four available data sets with these features, we try to find hints about how to deal with this unexplored task from a computational point of view. Our findings are assessed by human annotators in two strata: isolated sentences and entire documents. The results show how complex and subjective the task of automatically detecting irony could be. es_ES
dc.description.sponsorship The research work of Paolo Rosso was done in the framework of the European Commission WIQ-EI Web Information Quality Evaluation Initiative (IRSES grant no. 269180) project within the FP 7 Marie Curie People, the DIANA-APPLICATIONS - Finding Hidden Knowledge in Texts: Applications (TIN2012-38603-C02-01) project, and the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Knowledge and Information Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Irony detection es_ES
dc.subject Negation es_ES
dc.subject Figurative language processing es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title On the difficulty of automatically detecting irony: beyond a simple case of negation es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.identifier.doi 10.1007/s10115-013-0652-8
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2012-38603-C02-01/ES/DIANA-APPLICATIONS: FINDING HIDDEN KNOWLEDGE IN TEXTS: APPLICATIONS/
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/IRSES grant no. 269180/EU/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Reyes Pérez, A.; Rosso, P. (2014). On the difficulty of automatically detecting irony: beyond a simple case of negation. Knowledge and Information Systems. 40(3):595-614. https://doi.org/10.1007/s10115-013-0652-8 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/article/10.1007/s10115-013-0652-8 es_ES
dc.description.upvformatpinicio 595 es_ES
dc.description.upvformatpfin 614 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 40 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 255764
dc.identifier.eissn 0219-3116
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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