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UC3M: A kernel-based approach to identify and classify DDIs in biomedical texts

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Human Language and Accessibility Technologies (HULAT)es
dc.contributor.authorSánchez Cisneros, Daniel
dc.date.accessioned2015-04-23T10:57:37Z
dc.date.available2015-04-23T10:57:37Z
dc.date.issued2013-06
dc.descriptionProceedings of: International Workshop on Semantic Evaluation. SemEval-2013 : Semantic Evaluation Exercises. Took place in 2013 June 14-15, in Atlanta, Georgia (USA). The event Web site in http://www.cs.york.ac.uk/semeval-2013/en
dc.description.abstractThe domain of DDI identification is constantly showing a rise of interest from scientific community since it represents a decrease of time and healthcare cost. In this paper we purpose a new approach based on shallow linguistic kernel methods to identify DDIs in biomedical manuscripts. The approach outlines a first step in the usage of semantic information for DDI identification. The system obtained an F1 measure of 0.534.en
dc.description.sponsorshipThis work has been funded by MA2VICMR project (S2009/TIC-1542) and MULTIMEDICA project10 (TIN 2010-20644-C03-01)en
dc.description.statusPublicadoes
dc.format.extent8
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationSecond Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Seventh International Workshop on Semantic Evaluation (SemEval 2013), pp. 617–621en
dc.identifier.publicationfirstpage617
dc.identifier.publicationlastpage621
dc.identifier.publicationtitleSecond Joint Conference on Lexical and Computational Semantics (*SEM). Seventh International Workshop on Semantic Evaluation (SemEval 2013)en
dc.identifier.publicationvolume2
dc.identifier.urihttps://hdl.handle.net/10016/20454
dc.identifier.uxxiCC/0000023265
dc.language.isoeng
dc.publisherAssociation for Computational Linguisticsen
dc.relation.eventdate2013, June, 14-15en
dc.relation.eventnumber7
dc.relation.eventplaceAtlanta (Estados Unidos de América)es
dc.relation.eventtitleInternational Workshop on Semantic Evaluation, SemEval-2013en
dc.relation.projectIDComunidad de Madrid. S2009/TIC-1542/MA2VICMR
dc.relation.projectIDGobierno de España. TIN2010-20644-C03-01/MULTIMEDICA
dc.relation.publisherversionhttp://aclanthology.info/papers/uc3m-a-kernel-based-approach-to-identify-and-classify-ddis-in-bio-medical-texts
dc.rights© 2013 Authors
dc.rightsAtribución-NoComercial-CompartirIgual 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.subject.ecienciaInformáticaes
dc.titleUC3M: A kernel-based approach to identify and classify DDIs in biomedical textsen
dc.typeconference paper*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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