Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/8939
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Eyuboglu A.B. | - |
dc.contributor.author | Arslan M.B. | - |
dc.contributor.author | Sonmezer E. | - |
dc.contributor.author | Kutlu M. | - |
dc.date.accessioned | 2022-11-30T19:23:58Z | - |
dc.date.available | 2022-11-30T19:23:58Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 1613-0073 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/8939 | - |
dc.description | 2022 Conference and Labs of the Evaluation Forum, CLEF 2022 -- 5 September 2022 through 8 September 2022 -- -- 181762 | en_US |
dc.description.abstract | In this paper, we present our participation in CLEF 2022 CheckThat! Lab’s Task 1 on detecting check-worthy and verifiable claims and attention-worthy and harmful tweets. We participated in all subtasks of Task1 for Arabic, Bulgarian, Dutch, English, and Turkish datasets. We investigate the impact of fine-tuning various transformer models and how to increase training data size using machine translation. We also use feed-forward networks with the Manifold Mixup regularization for the respective tasks. We are ranked first in detecting factual claims in Arabic and harmful tweets in Dutch. In addition, we are ranked second in detecting check-worthy claims in Arabic and Bulgarian. © 2022 Copyright for this paper by its 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 | Attention-worthy tweets | en_US |
dc.subject | Check-worthiness | en_US |
dc.subject | Fact-Checking | en_US |
dc.subject | Factual Claims | en_US |
dc.subject | Harmful tweets | en_US |
dc.subject | Attention-worthy tweet | en_US |
dc.subject | Check-worthiness | en_US |
dc.subject | Fact-checking | en_US |
dc.subject | Factual claim | en_US |
dc.subject | Fine tuning | en_US |
dc.subject | Harmful tweet | en_US |
dc.subject | Subtask | en_US |
dc.subject | Training data | en_US |
dc.subject | Transformer modeling | en_US |
dc.subject | Turkishs | en_US |
dc.title | TOBB ETU at CheckThat! 2022: Detecting Attention-Worthy and Harmful Tweets and Check-Worthy Claims | en_US |
dc.type | Conference Object | en_US |
dc.identifier.volume | 3180 | en_US |
dc.identifier.startpage | 478 | en_US |
dc.identifier.endpage | 491 | en_US |
dc.identifier.scopus | 2-s2.0-85136935785 | en_US |
dc.authorscopusid | 57866065800 | - |
dc.authorscopusid | 57226399387 | - |
dc.authorscopusid | 57867078600 | - |
dc.authorscopusid | 35299304300 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | - | - |
dc.ozel | 2022v3_Edit | en_US |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | none | - |
item.openairetype | Conference Object | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.3. Department of Computer Engineering | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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