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Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets

, and . Proceedings of the 9th Workshop on Argument Mining, page 187--198. Online and in Gyeongju, Republic of Korea, International Conference on Computational Linguistics, (October 2022)

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Recovering Patient Journeys : A Corpus of Biomedical Entities and Relations on Twitter (BEAR), and . Language Resources and Evaluation Conference, LREC 2022, 20-25 June 2022, page 4439-4450. Paris, European Language Resources Association (ELRA), (2022)CoVERT : A Corpus of Fact-checked Biomedical COVID-19 Tweets, , and . Language Resources and Evaluation Conference, LREC 2022, 20-25 June 2022, page 244-257. Paris, European Language Resources Association (ELRA), (2022)An Entity-based Claim Extraction Pipeline for Real-world Fact-checking, , and . Proceedings of the Sixth Fact Extraction and VERification Workshop (FEVER), Dubrovnik, Croatia, Association for Computational Linguistics, (2023)Claim Detection in Biomedical Twitter Posts, and . BioNLP: Proceedings of the 2021 Workshop on Biomedical Natural Language Processing, (2021)Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets, and . Proceedings of the 9th Workshop on Argument Mining, page 187--198. Online and in Gyeongju, Republic of Korea, International Conference on Computational Linguistics, (October 2022)Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR), and . Proceedings of the Language Resources and Evaluation Conference, page 4439--4450. Marseille, France, European Language Resources Association, (June 2022)