Contributions to Research
Machine learning research powers the Abridge features that help people better understand and act upon their health.
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 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
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