相关实验视频

Updated: May 21, 2025

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

474

预测单一关系发现的隐性概念嵌入 复制基于文献的封闭发现的复制

Clint Cuffy1, Bridget T McInnes1

  • 1Natural Language Processing Lab, Department of Computer Science, Virginia Commonwealth University, Richmond, VA, United States.

Frontiers in research metrics and analytics
|March 20, 2025
PubMed
概括

这项研究引入了一种新的方法,用于基于文献的发现 (LBD),使用知识图 (KGs) 和深度学习. 该方法有效地识别隐含的假设,减少研究人员的负担,加速科学发现.

关键词:
深度学习是一种深度学习.分布相似性是一种分布相似性.知识的发现知识的发现.基于文献的发现发现.自然语言处理自然语言处理.神经网络的神经网络的神经网络语义上的相似性和相关性.

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