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Mash: software tools for developing interactive and transparent machine learning systems.

, , and . IUI Workshops, volume 2327 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)

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Query-Focused EHR Summarization to Aid Imaging Diagnosis., , , , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 632-659. PMLR, (2020)A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification., and . CoRR, (2015)Active learning for biomedical citation screening., , , and . KDD, page 173-182. ACM, (2010)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)Self-Repetition in Abstractive Neural Summarizers., , , and . AACL/IJCNLP (2), page 341-350. Association for Computational Linguistics, (2022)Multiple Narrative Disentanglement: Unraveling Infinite Jest.. HLT-NAACL, page 1-10. The Association for Computational Linguistics, (2012)Attention is not Explanation., and . NAACL-HLT (1), page 3543-3556. Association for Computational Linguistics, (2019)Paragraph-level Simplification of Medical Texts., , , and . NAACL-HLT, page 4972-4984. Association for Computational Linguistics, (2021)Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model., , , , , and . AAAI, page 1314-1320. AAAI Press, (2014)