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.
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Language ModelingLanguage ModellingSimilar Papers 제목 키워드 기반
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