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Ease of adoption of clinical natural language processing software: An evaluation of five systems., , , , , , , , , and 3 other author(s). J. Biomed. Informatics, (2015)Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks., and . J. Biomed. Informatics, (2015)MAE and MAI: Lightweight Annotation and Adjudication Tools.. Linguistic Annotation Workshop, page 129-133. The Association for Computer Linguistics, (2011)Annotating risk factors for heart disease in clinical narratives for diabetic patients., and . J. Biomed. Informatics, (2015)Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2., , , and . J. Biomed. Informatics, (2015)Corrigendum to "Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2" J Biomed Inform. 2017 Nov;75S: S62-S70., , and . J. Biomed. Informatics, (2018)Team-Teaching with Colleagues in the Arts and Humanities., , , , and . SIGCSE, page 265-266. ACM, (2018)Advancing the state of the art in automatic extraction of adverse drug events from narratives., , and . J. Am. Medical Informatics Assoc., 27 (1): 1-2 (2020)New approaches to cohort selection., and . J. Am. Medical Informatics Assoc., 26 (11): 1161-1162 (2019)Natural Language Annotation for Machine Learning - a Guide to Corpus-Building for Applications., and . O'Reilly, (2012)