Contributions to Research
Machine learning research powers the Abridge features that help people better understand and act upon their health.
A Mission Driven Approach to Machine Learning for Healthcare Conversation
Journal of Commercial Biotechnology (ISSN: 1462-8732 / eISSN 1478-565X), Vol. 26 No. 2 (2021)
Extracting Appointment Spans from Medical Conversations
Accepted to the 2nd Workshop on NLP for Medical Conversations (NLPMC), NAACL 2021
Towards Fairness in Classifying Medical Conversations into SOAP Sections
Trustworthy AI for Healthcare Workshop, 2021 AAAI Conference on Artificial Intelligence
Weakly Supervised Medication Regimen Extraction from Medical Conversations
3rd Clinical Natural Language Processing Workshop, The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
MedFilter: Improving Extraction of Task-relevant Utterances through Integration of Discourse Structure and Ontological Knowledge
Proceedings of The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations
Proceedings of Machine Learning Research, Machine Learning for Healthcare (MLHC) 2020
Towards Understanding ASR Error Correction for Medical Conversations
Proceedings of the First Workshop on Natural Language Processing for Medical Conversations of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
ASR Error Correction and Domain Adaptation Using Machine Translation
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing
Medication Regimen Extraction From Medical Conversations
Proceedings of the International Workshop on Health Intelligence (W3PHIAI) of the 34th AAAI Conference on Artificial Intelligence, 2020
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances
Proceedings of the International Workshop on Health Intelligence (W3PHIAI) of the 34th AAAI Conference on Artificial Intelligence, 2020
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