Automatic propbank generation for Turkish

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dc.authorid0000-0001-5838-4615
dc.contributor.authorAk, Korayen_US
dc.contributor.authorYıldız, Olcay Taneren_US
dc.date.accessioned2020-02-17T04:34:04Z
dc.date.available2020-02-17T04:34:04Z
dc.date.issued2019-09
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.description.abstractSemantic role labeling (SRL) is an important task for understanding natural languages, where the objective is to analyse propositions expressed by the verb and to identify each word that bears a semantic role. It provides an extensive dataset to enhance NLP applications such as information retrieval, machine translation, information extraction, and question answering. However, creating SRL models are difficult. Even in some languages, it is infeasible to create SRL models that have predicate-argument structure due to lack of linguistic resources. In this paper, we present our method to create an automatic Turkish PropBank by exploiting parallel data from the translated sentences of English PropBank. Experiments show that our method gives promising results. © 2019 Association for Computational Linguistics (ACL).en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationAk, K. & Yıldız, O. T. (2019). Automatic propbank generation for Turkish. Paper presented at the International Conference Recent Advances in Natural Language Processing, RANLP, 33-41. doi:10.26615/978-954-452-056-4_005en_US
dc.identifier.doi10.26615/978-954-452-056-4_005
dc.identifier.endpage41
dc.identifier.isbn9789544520557
dc.identifier.issn1313-8502
dc.identifier.scopus2-s2.0-85076463501
dc.identifier.scopusqualityN/A
dc.identifier.startpage33
dc.identifier.urihttps://hdl.handle.net/11729/2243
dc.identifier.urihttps://dx.doi.org/10.26615/978-954-452-056-4_005
dc.identifier.volume2019
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAk, Korayen_US
dc.institutionauthorYıldız, Olcay Taneren_US
dc.institutionauthorid0000-0001-5838-4615
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIncoma Ltden_US
dc.relation.ispartofInternational Conference Recent Advances in Natural Language Processing, RANLPen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArgument structuresen_US
dc.subjectComputational linguisticsen_US
dc.subjectDeep learningen_US
dc.subjectDependency parseren_US
dc.subjectLinguistic resourcesen_US
dc.subjectMachine translationsen_US
dc.subjectNatural language processing systemsen_US
dc.subjectNatural languagesen_US
dc.subjectParallel dataen_US
dc.subjectQuestion answeringen_US
dc.subjectSemantic role labelingen_US
dc.subjectSemantic rolesen_US
dc.subjectSemanticsen_US
dc.subjectSyntacticsen_US
dc.subjectTranslation (languages)en_US
dc.titleAutomatic propbank generation for Turkishen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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