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المؤلفAli, Zien Sheikh
المؤلفMansour, Watheq
المؤلفElsayed, Tamer
المؤلفAl-Ali, Abdulaziz
تاريخ الإتاحة2023-11-25T08:02:23Z
تاريخ النشر2021-01-01
اسم المنشورWANLP 2021 - 6th Arabic Natural Language Processing Workshop, Proceedings of the Workshop
الاقتباسAli, Z. S., Mansour, W., Elsayed, T., & Al‐Ali, A. (2021, April). AraFacts: the first large Arabic dataset of naturally occurring claims. In Proceedings of the Sixth Arabic Natural Language Processing Workshop (pp. 231-236).‏
الترقيم الدولي الموحد للكتاب 9781954085091
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85113537381&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/49639
الملخصWe introduce AraFacts, the first large Arabic dataset of naturally-occurring claims collected from 5 Arabic fact-checking websites, e.g., Fatabyyano and Misbar, covering claims since 2016. Our dataset consists of 6,222 claims along with their factual labels and additional metadata, such as fact-checking article content, topical category, and links to posts or Web pages spreading the claim. Since the data is obtained from various fact-checking websites, we standardize the original claim labels to provide a unified label rating for all claims. Moreover, we provide revealing dataset statistics and motivate its use by suggesting possible research applications. The dataset is made publicly available for the research community.
راعي المشروعThis work was made possible by NPRP grant No.: NPRP11S-1204-170060 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
اللغةen
الناشرAssociation for Computational Linguistics (ACL)
الموضوعLarge dataset
العنوانAraFacts: The First Large Arabic Dataset of Naturally-Occurring Professionally-Verified Claims
النوعConference Paper
الصفحات231-236
dc.accessType Abstract Only


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