Claim detection for automated fact-checking: A survey on monolingual, multilingual and cross-lingual research-Reference-Cited by-同舟云学术

Claim detection for automated fact-checking: A survey on monolingual, multilingual and cross-lingual research

Published:2024-06 Issue: Volume:7 Page:100066
ISSN:2949-7191
Container-title:Natural Language Processing Journal
language:en
Short-container-title:Natural Language Processing Journal

Author:

Panchendrarajan Rrubaa^ORCID,Zubiaga Arkaitz

Funder

European Union

UK Research and Innovation

Publisher

Elsevier BV

Reference98 articles.

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5. Alam, F., Dalvi, F., Shaar, S., Durrani, N., Mubarak, H., Nikolov, A., Da San Martino, G., Abdelali, A., Sajjad, H., Darwish, K., et al., 2021. Fighting the COVID-19 infodemic in social media: a holistic perspective and a call to arms. In: Proceedings of the International AAAI Conference on Web and Social Media. Vol. 15, pp. 913–922.

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1. FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10