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Extracting Time Expressions from Clinical Text.

, , , , and . BioNLP@IJCNLP, page 81-91. Association for Computational Linguistics, (2015)

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A common type system for clinical natural language processing., , , , , , , , , and 1 other author(s). J. Biomedical Semantics, (2013)Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record., , , , , , , , , and 1 other author(s). J. Am. Medical Informatics Assoc., 22 (e1): e151-e161 (2015)Improving Temporal Relation Extraction with Training Instance Augmentation., , , , and . BioNLP@ACL, page 108-113. Association for Computational Linguistics, (2016)Good Seed Makes a Good Crop: Accelerating Active Learning Using Language Modeling., and . ACL (2), page 6-10. The Association for Computer Linguistics, (2011)Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data., , , , , , , and . CoRR, (2024)Towards comprehensive syntactic and semantic annotations of the clinical narrative, , , , , , , , , and 1 other author(s). Journal of the American Medical Informatics Association, 20 (5): 922--930 (2013)Multilayered temporal modeling for the clinical domain., , , , and . J. Am. Medical Informatics Assoc., 23 (2): 387-395 (2016)Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients., , , , , , and . BMC Medical Informatics Decis. Mak., 20 (1): 79 (2020)To Annotate More Accurately or to Annotate More., , and . Linguistic Annotation Workshop, page 64-72. Association for Computational Linguistics, (2010)Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning., , , , , and . ClinicalNLP@ACL, page 78-85. Association for Computational Linguistics, (2023)