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Knowledge graph-enhanced framework for electric power engineering report generation

Chen Qian Yu-Yan Chen Jia-Ying Yang Xiao-Wen Le Xiao-Yang Shen Yi-Heng Zeng

电子科技学刊2026,Vol.24Issue(1):46-64,19.
电子科技学刊2026,Vol.24Issue(1):46-64,19.DOI:10.1016/j.jnlest.2025.100344

Knowledge graph-enhanced framework for electric power engineering report generation

Knowledge graph-enhanced framework for electric power engineering report generation

Chen Qian 1Yu-Yan Chen 1Jia-Ying Yang 1Xiao-Wen Le 1Xiao-Yang Shen 1Yi-Heng Zeng2

作者信息

  • 1. State Grid Shanghai Economic Research Institute,Shanghai,200002,China
  • 2. Department of Computer Science,University College London,London,WC1E 7JE,UK
  • 折叠

摘要

关键词

Entity recognition/Improved Transformer model/Knowledge graph enhancement/Power grid engineering report generation/Relation extraction

Key words

Entity recognition/Improved Transformer model/Knowledge graph enhancement/Power grid engineering report generation/Relation extraction

引用本文复制引用

Chen Qian,Yu-Yan Chen,Jia-Ying Yang,Xiao-Wen Le,Xiao-Yang Shen,Yi-Heng Zeng..Knowledge graph-enhanced framework for electric power engineering report generation[J].电子科技学刊,2026,24(1):46-64,19.

基金项目

This work was supported by State Grid Shanghai Economic Research Institute under Grant No.SGTYHT/23-JS-004. ()

电子科技学刊

1674-862X

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