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Evaluating the generalisability of neural rumour verification models., , , , , , , , and . Inf. Process. Manag., 60 (1): 103116 (2023)Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes., , , and . CoRR, (2021)Clinically meaningful timeline summarisation in social media for mental health monitoring., , , , , and . CoRR, (2024)Some Observations on Fact-Checking Work with Implications for Computational Support., , , , , , and . CoRR, (2023)Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification., , , and . CoRR, (2024)Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances., , , , , , , , , and 2 other author(s). J. Biomed. Informatics, (2018)Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification., , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3902-3908. Association for Computational Linguistics, (2021)tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection., , and . ACL, page 7047-7055. Association for Computational Linguistics, (2020)QMUL-SDS at CheckThat! 2020 Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions., , , , and . CLEF (Working Notes), volume 2696 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian (short paper)., , , and . EVALITA, volume 2765 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)