Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/4262
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dc.contributor.authorKartal, Yavuz Selim-
dc.contributor.authorKutlu, Mücahid-
dc.date.accessioned2021-04-27T13:04:11Z-
dc.date.available2021-04-27T13:04:11Z-
dc.date.issued2020-11
dc.identifier.citationKartal, Y. S., & Kutlu, M. (2020, November). TrClaim-19: The First Collection for Turkish Check-Worthy Claim Detection with Annotator Rationales. In Proceedings of the 24th Conference on Computational Natural Language Learning (pp. 386-395).en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11851/4262-
dc.identifier.urihttps://www.aclweb.org/anthology/2020.conll-1.31.pdf-
dc.description.abstractMassive misinformation spread over Internet has many negative impacts on our lives. While spreading a claim is easy, investigating its veracity is hard and time consuming, Therefore, we urgently need systems to help human fact-checkers. However, available data resources to develop effective systems are limited and the vast majority of them is for English. In this work, we introduce TrClaim-19, which is the very first labeled dataset for Turkish check-worthy claims. TrClaim-19 consists of labeled 2287 Turkish tweets with annotator rationales, enabling us to better understand the characteristics of check-worthy claims. The rationales we collected suggest that claims’ topics and their possible negative impacts are the main factors affecting their check-worthiness.en_US
dc.language.isoenen_US
dc.publisherAssociation for Computational Linguisticsen_US
dc.relation.ispartofThe 24th Conference on Computational Natural Language Learningen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleTrClaim-19: The First Collection for Turkish Check-Worthy Claim Detection with Annotator Rationalesen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.startpage386
dc.identifier.endpage395
dc.authorid0000-0002-4102-803X-
dc.institutionauthorKutlu, Mücahid-
dc.identifier.doi10.18653/v1/2020.conll-1.31-
dc.relation.publicationcategoryKonferans Öğesi - Ulusal - Kurum Öğretim Elemanıen_US
dc.relation.otherACL's Special Interest Group on Natural Language Learning (SIGNLL)en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
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