EMNLP

Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications

通过语言模型赋能医疗从业者：在两个真实临床应用中结构化语音转录

Jean-Philippe Corbeil, Asma Ben Abacha, George Michalopoulos, Phillip Swazinna, Miguel Del-Agua, Jerome Tremblay, Akila Jeeson Daniel, Cari Bader, Yu-Cheng Cho, Pooja Krishnan, Nathan Bodenstab, Thomas Lin, Wenxuan Teng, Francois Beaulieu, Paul Vozila

机构 * Microsoft Healthcare & Life Sciences（微软医疗与生命科学） 纠错

AI总结 本文通过语言模型在两个临床应用中结构化语音转录，提出代理流程生成非敏感数据，并发布首个开源数据集以支持进一步研究。

Journal ref Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track