Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/4262
Title: | TrClaim-19: The First Collection for Turkish Check-Worthy Claim Detection with Annotator Rationales | Authors: | Kartal, Yavuz Selim Kutlu, Mücahid |
Publisher: | Association for Computational Linguistics | Source: | 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). | 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. | URI: | https://hdl.handle.net/20.500.11851/4262 https://www.aclweb.org/anthology/2020.conll-1.31.pdf |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering |
Show full item record
CORE Recommender
SCOPUSTM
Citations
11
checked on Nov 16, 2024
Page view(s)
162
checked on Nov 11, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.