Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data
<|reference_start|>Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data: 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.<|reference_end|>
@article{chen2024improving,
    title={Improving Clinical NLP Performance through Language Model-Generated
  Synthetic Clinical Data},
    author={Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar,
  Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman},
    journal={arXiv preprint arXiv:2403.19511},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.19511},
    primaryClass={cs.CL}
}