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ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents., , , , , , , , , и 5 other автор(ы). Frontiers Res. Metrics Anal., (2021)Knowledge-based extraction of adverse drug events from biomedical text., , , , , и . BMC Bioinform., (2014)An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents., , , , , , , , , и 32 other автор(ы). CLEF (Working Notes), том 2696 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)A Concept Annotation System for Clinical Records., , , , , , и . SWAT4LS, том 698 из CEUR Workshop Proceedings, CEUR-WS.org, (2010)Concept Recognition in French Biomedical Text Using Automatic Translation., , , , и . CLEF, том 9822 из Lecture Notes in Computer Science, стр. 162-173. Springer, (2016)Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models., , , , , , и . BioNLP, стр. 216-221. Association for Computational Linguistics, (2017)Elsevier at SimpleText: Passage Retrieval by Fine-tuning GPL on Scientific Documents., , , и . CLEF (Working Notes), том 3497 из CEUR Workshop Proceedings, стр. 2923-2934. CEUR-WS.org, (2023)Using rule-based natural language processing to improve disease normalization in biomedical text., , , , и . J. Am. Medical Informatics Assoc., 20 (5): 876-881 (2013)Using an ensemble system to improve concept extraction from clinical records., , , , и . J. Biomed. Informatics, 45 (3): 423-428 (2012)Unsupervised Dense Retrieval for Scientific Articles., , , и . EMNLP (Industry Track), стр. 313-321. Association for Computational Linguistics, (2022)