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

Authors :
Chen, Shan
Gallifant, Jack
Guevara, Marco
Gao, Yanjun
Afshar, Majid
Miller, Timothy
Dligach, Dmitriy
Bitterman, Danielle S.
Publication Year :
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.<br />Comment: submitted to review

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2403.19511
Document Type :
Working Paper