Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/4262
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kartal, Yavuz Selim | - |
dc.contributor.author | Kutlu, Mücahid | - |
dc.date.accessioned | 2021-04-27T13:04:11Z | - |
dc.date.available | 2021-04-27T13:04:11Z | - |
dc.date.issued | 2020-11 | |
dc.identifier.citation | Kartal, 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.uri | https://hdl.handle.net/20.500.11851/4262 | - |
dc.identifier.uri | https://www.aclweb.org/anthology/2020.conll-1.31.pdf | - |
dc.description.abstract | Massive 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.iso | en | en_US |
dc.publisher | Association for Computational Linguistics | en_US |
dc.relation.ispartof | The 24th Conference on Computational Natural Language Learning | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.title | TrClaim-19: The First Collection for Turkish Check-Worthy Claim Detection with Annotator Rationales | 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.startpage | 386 | |
dc.identifier.endpage | 395 | |
dc.authorid | 0000-0002-4102-803X | - |
dc.institutionauthor | Kutlu, Mücahid | - |
dc.identifier.doi | 10.18653/v1/2020.conll-1.31 | - |
dc.relation.publicationcategory | Konferans Öğesi - Ulusal - Kurum Öğretim Elemanı | en_US |
dc.relation.other | ACL's Special Interest Group on Natural Language Learning (SIGNLL) | en_US |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | No Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairetype | Conference Object | - |
item.grantfulltext | none | - |
crisitem.author.dept | 02.3. Department of Computer Engineering | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering |
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