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Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study., , , , , and . BMC Medical Informatics Decis. Mak., 19 (1): 96:1-96:12 (2019)A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation., , , , and . CIKM, page 1519-1528. ACM, (2017)Accomodating User Expressivity while Maintaining Safety for a Virtual Alcohol Misuse Counselor., , , and . IVA, page 3:1-3:9. ACM, (2023)Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model., , , , , and . AAAI, page 1314-1320. AAAI Press, (2014)Active Discriminative Text Representation Learning., , and . AAAI, page 3386-3392. AAAI Press, (2017)Multiple Narrative Disentanglement: Unraveling Infinite Jest.. HLT-NAACL, page 1-10. The Association for Computational Linguistics, (2012)Paragraph-level Simplification of Medical Texts., , , and . NAACL-HLT, page 4972-4984. Association for Computational Linguistics, (2021)Attention is not Explanation., and . NAACL-HLT (1), page 3543-3556. Association for Computational Linguistics, (2019)RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media., , , and . EACL (Findings), page 797. Association for Computational Linguistics, (2023)How Many and Which Training Points Would Need to be Removed to Flip this Prediction?, , and . EACL, page 2563-2576. Association for Computational Linguistics, (2023)