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Toward a Robust and Universal Crowd-Labeling Framework.. IJCAI, page 4006-4007. IJCAI/AAAI Press, (2016)Extracting relevant information from physician-patient dialogues for automated clinical note taking., , , , and . LOUHI@EMNLP, page 65-74. Association for Computational Linguistics, (2019)Improving Crowd Labeling through Expert Evaluation., and . AAAI Spring Symposium: Wisdom of the Crowd, volume SS-12-06 of AAAI Technical Report, AAAI, (2012)Toward a Robust Crowd-labeling Framework using Expert Evaluation and Pairwise Comparison., and . CoRR, (2016)Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support., , , , , , , , , and 16 other author(s). CoRR, (2023)AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues., , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1512-1513. IOS Press, (2019)Robust Crowd Labeling Using Little Expertise., and . Discovery Science, volume 8140 of Lecture Notes in Computer Science, page 94-109. Springer, (2013)A survey of word embeddings for clinical text., , , , , and . J. Biomed. Informatics X, (2019)Soft-prompt Tuning for Large Language Models to Evaluate Bias., , , , , and . CoRR, (2023)MLHOps: Machine Learning for Healthcare Operations., , , , , , and . CoRR, (2023)