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Biomedical Concept Recognition in French Text Using Automatic Translation of English Terms.

, , , , and . CLEF (Working Notes), volume 1391 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)

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Concept Recognition in French Biomedical Text Using Automatic Translation., , , , and . CLEF, volume 9822 of Lecture Notes in Computer Science, page 162-173. Springer, (2016)Knowledge-based extraction of adverse drug events from biomedical text., , , , , and . BMC Bioinformatics, (2014)A Concept Annotation System for Clinical Records., , , , , , and . SWAT4LS, volume 698 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models., , , , , , and . BioNLP, page 216-221. Association for Computational Linguistics, (2017)ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents., , , , , , , , , and 5 other author(s). Frontiers Res. Metrics Anal., (2021)An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents., , , , , , , , , and 32 other author(s). CLEF (Working Notes), volume 2696 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Using rule-based natural language processing to improve disease normalization in biomedical text., , , , and . JAMIA, 20 (5): 876-881 (2013)ContextD: an algorithm to identify contextual properties of medical terms in a Dutch clinical corpus., , , , , and . BMC Bioinformatics, (2014)Using an ensemble system to improve concept extraction from clinical records., , , , and . Journal of Biomedical Informatics, 45 (3): 423-428 (2012)Improving sensitivity of machine learning methods for automated case identification from free-text electronic medical records., , , , , and . BMC Med. Inf. & Decision Making, (2013)