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Updated: Jan 15, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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MediNet:使用显著的组合嵌入方式对医疗药物相关文本评论进行分类的整体转移学习方法

Tai-Hoon Kim1, Asma Aldrees2, Dina Abdulaziz AlHammadi3

  • 1School of Electrical and Computer Engineering, Chonnam National University, 50, Daehak-ro, Yeosu-si, 59626, Republic of Korea. taihoonn@chonnam.ac.kr.

BioData mining
|October 10, 2025
PubMed
概括

MediNet是一种新的药物安全性审查分类模型,它结合了先进的词嵌入和集体深度学习. 它实现了高精度,优于现有方法,用于改进医疗保健NLP应用.

关键词:
药物审查分类药物审查分类.组合学习学习 组合学习文本挖掘 (Text Mining) 是一种文字挖掘方式.字体嵌入 字体嵌入.

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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports07:35

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