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Relation extraction using large language models: a case study on acupuncture point locations.

Yiming LiXueqing PengJianfu LiXu ZuoSuyuan PengDonghong PeiCui TaoHua XuNa Hong
Published in: Journal of the American Medical Informatics Association : JAMIA (2024)
This study underscores the effectiveness of LLMs like GPT and Llama in extracting relations related to acupoint locations, with implications for accurately modeling acupuncture knowledge and promoting standard implementation in acupuncture training and practice. The findings also contribute to advancing informatics applications in traditional and complementary medicine, showcasing the potential of LLMs in natural language processing.
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