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Number of items: 5.

Alghanmi, Israa 2023. Interpreting patient case descriptions with biomedical language models. PhD Thesis, Cardiff University.
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Alghanmi, Israa, Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176 and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2022. Self-supervised intermediate fine-tuning of biomedical language models for interpreting patient case descriptions. Presented at: 29th International Conference on Computational Linguistics (COLING), Gyeongju, Republic of Korea, 12-17 October 2022. Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics,
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Alghanmi, Israa, Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176 and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2022. Interpreting patient descriptions using distantly supervised similar case retrieval. Presented at: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 11-15 July 2022. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). ACM, pp. 460-470. 10.1145/3477495.3532003
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Alghanmi, Israa, Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176 and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2021. Probing pre-trained language models for disease knowledge. Findings 2021 (August) , pp. 3023-3033. 10.18653/v1/2021.findings-acl.266
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Alghanmi, Israa, Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176 and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2020. Combining BERT with static word embeddings for categorizing social media. Presented at: 6th Workshop on Noisy User-generated Text (W-NUT 2020), Virtual, 19 November 2020.
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