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Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements., , , , , , , , and . J. Am. Medical Informatics Assoc., 21 (3): 406-413 (2014)Handling Entity Normalization with no Annotated Corpus: Weakly Supervised Methods Based on Distributional Representation and Ontological Information., , , , , , and . LREC, page 1959-1966. European Language Resources Association, (2020)Linking Medications and Their Attributes in Clinical Notes and Clinical Trial Announcements for Information Extraction: A Sequence Labeling Approach., , , , , , and . HISB, page 84. IEEE Computer Society, (2012)Extraction d'informations médicales au LIMSI (Medical information extraction at LIMSI)., , , , , , , , , and . TALN (Demonstrations), page 12. ATALA, (2011)Analyse morphosémantique des composés savants : transposition du français à l'anglais., , and . TALN (Articles longs), page 75-84. ATALA, (2007)L'ontologie OntoBiotope pour l'étude de la biodiversité microbienne., , , , , , and . EGC, volume E-34 of RNTI, page 353-358. Éditions RNTI, (2018)Mining FDA drug labels for medical conditions., , , , , , , , and . BMC Medical Informatics Decis. Mak., (2013)Identifying Paraphrases between Technical and Lay Corpora., and . LREC, European Language Resources Association, (2010)Global alignment for relation extraction in Microbiology., , , , and . CoRR, (2021)Taec: a Manually annotated text dataset for trait and phenotype extraction and entity linking in wheat breeding literature., , , , and . CoRR, (2024)