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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)A scoping review of publicly available language tasks in clinical natural language processing., , , , , , , , , and . J. Am. Medical Informatics Assoc., 29 (10): 1797-1806 (2022)A common type system for clinical natural language processing., , , , , , , , , and 1 other author(s). J. Biomedical Semantics, (2013)Pre-training phenotyping classifiers., , and . J. Biomed. Informatics, (2021)DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing., , , , , , and . J. Biomed. Informatics, (February 2023)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)Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse., , and . J. Am. Medical Informatics Assoc., 26 (11): 1272-1278 (2019)Discovering body site and severity modifiers in clinical texts., , , , and . JAMIA, 21 (3): 448-454 (2014)