Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/8345
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shaar, S. | - |
dc.contributor.author | Hasanain, M. | - |
dc.contributor.author | Hamdan, B. | - |
dc.contributor.author | Ali, Z.S. | - |
dc.contributor.author | Haouari, F. | - |
dc.contributor.author | Nikolov, A. | - |
dc.contributor.author | Kutlu, M. | - |
dc.date.accessioned | 2022-01-15T13:02:35Z | - |
dc.date.available | 2022-01-15T13:02:35Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 1613-0073 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/8345 | - |
dc.description | 2021 Working Notes of CLEF - Conference and Labs of the Evaluation Forum, CLEF-WN 2021 -- 21 September 2021 through 24 September 2021 -- 171327 | en_US |
dc.description.abstract | We 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.sponsorship | Qatar Foundation, QF: 6-1-0611-19074; Qatar National Research Fund, QNRF | en_US |
dc.description.sponsorship | The 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.iso | en | en_US |
dc.publisher | CEUR-WS | en_US |
dc.relation.ispartof | CEUR Workshop Proceedings | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Check-worthiness estimation | en_US |
dc.subject | Computational journalism | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Detecting previously fact-checked claims | en_US |
dc.subject | Fact-checking | en_US |
dc.subject | Social media verification | en_US |
dc.subject | Veracity | en_US |
dc.subject | Verified claims retrieval | en_US |
dc.subject | Petroleum reservoir evaluation | en_US |
dc.subject | Data collection | en_US |
dc.subject | Evaluation measures | en_US |
dc.subject | Participating systems | en_US |
dc.subject | Political debates | en_US |
dc.subject | Research communities | en_US |
dc.subject | Turkishs | en_US |
dc.subject | Laboratories | en_US |
dc.title | Overview of the Clef-2021 Checkthat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates | en_US |
dc.type | Conference Object | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 2936 | en_US |
dc.identifier.startpage | 369 | en_US |
dc.identifier.endpage | 392 | en_US |
dc.identifier.scopus | 2-s2.0-85113440372 | en_US |
dc.institutionauthor | Kutlu, Mücahid | - |
dc.authorscopusid | 57207115832 | - |
dc.authorscopusid | 56022253900 | - |
dc.authorscopusid | 57204035632 | - |
dc.authorscopusid | 57210368518 | - |
dc.authorscopusid | 57204111241 | - |
dc.authorscopusid | 57210376695 | - |
dc.authorscopusid | 35299304300 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | - | - |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
CORE Recommender
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.