Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8345
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dc.contributor.authorShaar, S.-
dc.contributor.authorHasanain, M.-
dc.contributor.authorHamdan, B.-
dc.contributor.authorAli, Z.S.-
dc.contributor.authorHaouari, F.-
dc.contributor.authorNikolov, A.-
dc.contributor.authorKutlu, M.-
dc.date.accessioned2022-01-15T13:02:35Z-
dc.date.available2022-01-15T13:02:35Z-
dc.date.issued2021-
dc.identifier.issn1613-0073-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/8345-
dc.description2021 Working Notes of CLEF - Conference and Labs of the Evaluation Forum, CLEF-WN 2021 -- 21 September 2021 through 24 September 2021 -- 171327en_US
dc.description.abstractWe present an overview of Task 1 of the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The task asks to predict which posts in a Twitter stream are worth fact-checking, focusing on COVID-19 and politics in five languages: Arabic, Bulgarian, English, Spanish, and Turkish. A total of 15 teams participated in this task and most submissions managed to achieve sizable improvements over the baselines using Transformer-based models such as BERT and RoBERTa. Here, we describe the process of data collection and the task setup, including the evaluation measures, and we give a brief overview of the participating systems. We release to the research community all datasets from the lab as well as the evaluation scripts, which should enable further research in check-worthiness estimation for tweets and political debates. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).en_US
dc.description.sponsorshipQatar Foundation, QF: 6-1-0611-19074; Qatar National Research Fund, QNRFen_US
dc.description.sponsorshipThe work of Tamer Elsayed, Maram Hasanain and Zien Sheikh Ali was made possible by NPRP grant #NPRP-11S-1204-170060 from the Qatar National Research Fund (a member of Qatar Foundation). The work of Fatima Haouari is supported by GSRA grant #GSRA6-1-0611-19074 from the Qatar National Research Fund. The statements made herein are solely the responsibility of the authors.en_US
dc.language.isoenen_US
dc.publisherCEUR-WSen_US
dc.relation.ispartofCEUR Workshop Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCheck-worthiness estimationen_US
dc.subjectComputational journalismen_US
dc.subjectCOVID-19en_US
dc.subjectDetecting previously fact-checked claimsen_US
dc.subjectFact-checkingen_US
dc.subjectSocial media verificationen_US
dc.subjectVeracityen_US
dc.subjectVerified claims retrievalen_US
dc.subjectPetroleum reservoir evaluationen_US
dc.subjectData collectionen_US
dc.subjectEvaluation measuresen_US
dc.subjectParticipating systemsen_US
dc.subjectPolitical debatesen_US
dc.subjectResearch communitiesen_US
dc.subjectTurkishsen_US
dc.subjectLaboratoriesen_US
dc.titleOverview of the CLEF-2021 CheckThat! Lab Task 1 on check-worthiness estimation in tweets and political debatesen_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.volume2936en_US
dc.identifier.startpage369en_US
dc.identifier.endpage392en_US
dc.identifier.scopus2-s2.0-85113440372en_US
dc.institutionauthorKutlu, Mücahid-
dc.authorscopusid57207115832-
dc.authorscopusid56022253900-
dc.authorscopusid57204035632-
dc.authorscopusid57210368518-
dc.authorscopusid57204111241-
dc.authorscopusid57210376695-
dc.authorscopusid35299304300-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusquality--
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.languageiso639-1en-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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