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Updated: May 13, 2025

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快速适应化学命名实体识别,使用少数镜头学习和LLM蒸

Yue Zhang1,2, Dionisios G Vlachos1,3, Dongxia Liu1,3

  • 1Center for Plastics Innovation, University of Delaware, Newark, Delaware 19716, United States.

Journal of chemical information and modeling
|May 1, 2025
PubMed
概括

本研究介绍了化学文本挖掘的一些名为实体识别 (NER) 模型. 该模型使用有限的数据和知识传输有效地从资源较少的领域提取化学实体.

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