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Computer Science > Computation and Language

Title: Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data

Authors: Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman
(Submitted on 28 Mar 2024)
Abstract: Generative models have been showing potential for producing data in mass. This study explores the enhancement of clinical natural language processing performance by utilizing synthetic data generated from advanced language models. Promising results show feasible applications in such a high-stakes domain.
Comments: submitted to review
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2403.19511 [cs.CL]
  (or arXiv:2403.19511v1 [cs.CL] for this version)

Submission history

From: Shan Chen [view email]
[v1] Thu, 28 Mar 2024 15:44:18 GMT (1769kb)
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