Contributions to Research
Machine learning research powers the Abridge features that help people better understand and act upon their health.
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
Belebele sheds light on the capabilities of LLMs on both reading comprehension and long-tail multilingual understanding. *Davis Liang is affiliated with Abridge.
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
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