Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/9933
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dc.contributor.authorKartal, Y.S.-
dc.contributor.authorKutlu, M.-
dc.date.accessioned2022-12-25T20:53:01Z-
dc.date.available2022-12-25T20:53:01Z-
dc.date.issued2020-
dc.identifier.issn1613-0073-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/9933-
dc.description11th Conference and Labs of the Evaluation Forum, CLEF 2020 -- 22 September 2020 through 25 September 2020 -- 163832en_US
dc.description.abstractMisinformation has many negative consequences on our daily life. While spread of misinformation is very fast, investigating veracity of claims is slow. Therefore, we urgently need systems helping human fact checkers in the combat against misinformation. In this paper, we present our participation in check-worthiness tasks (i.e., Task 1 and Task 5) of CLEF-2020 Check That! Lab. For English Task 1, we use logistic regression with fined-tuned BERT predictions, POS tags, controversial topics and a hand-crafted word list as features. For English Task 5, we again use logistic regression with fined-tuned BERT predictions and word embeddings as features. For Arabic Task 1, we use a hybrid approach of fined-tuned BERT model with the model used for English Task 5. For the Arabic task, we use AraBert as our Bert model. In the official evaluation of primary submissions, our primary models a) ranked 3rd in Arabic Task 1 based on P@30 and shared the 1st rank with another group based on P@5, b) ranked 5th in English Task 1 based on average precision and shared the 1st rank with five other groups based on reciprocal rank, P@1, P@3 and P@5 metrics, and c) ranked 3rd in Task 5 based on average precision. Copyright © 2020 for this paper by its 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.subjectControversial topicsen_US
dc.subjectDaily livesen_US
dc.subjectEmbeddingsen_US
dc.subjectGroup-baseden_US
dc.subjectHybrid approachen_US
dc.subjectLogistics regressionsen_US
dc.subjectWord listsen_US
dc.titleTobb Etu at Checkthat! 2020: Prioritizing English and Arabic Claims Based on Check-Worthinessen_US
dc.typeConference Objecten_US
dc.departmentESTÜen_US
dc.identifier.volume2696en_US
dc.identifier.scopus2-s2.0-85121782113en_US
dc.institutionauthor[Belirlenecek]-
dc.authorscopusid57200283506-
dc.authorscopusid35299304300-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusquality--
dc.identifier.trdiziniden_US]
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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