App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 7

Method for key element extraction based on hierarchical context enhancement and knowledge base

Yang Weijie1
Guo Haichen1
Bao Hongyun2
1. School of Computer & Artificial Intelligence, Beijing Technology & Business University, Beijing 102488, China
2. Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
DOI: 10.19734/j.issn.1001-3695.2025.11.0453

Abstract

Aiming at problems such as difficulty in capturing cross-sentence semantic dependencies and lack of domain knowledge integration in key element extraction for Cognitive Electronic Warfare (CEW) equipment test scheme design, researchers conducted research on key element extraction methods and proposed a key element extraction method based on hierarchical context enhancement and knowledge base (Hierarchical Context Enhancement with Knowledge Base, HCE-KB) . The method first adopted task-aware rule templates and position priors to generate high-recall candidate elements, used BERT to construct hierarchical semantic representations and complete semantic ranking, and relied on a domain knowledge base to carry out consistency checking and re-ranking, thereby improving the standardization and usability of extraction results. Experimental results show that on a CEW dataset with 3, 400 annotated samples, the method increases the F1 score by 20 percentage points and improves processing speed by a factor of 2.25 compared with MDERank, which verifies the effectiveness and engineering application value of the method.

Foundation Support

国家重点研发计划项目(YFC3302600)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.11.0453
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 7

Publish History

[2026-03-18] Accepted Paper

Cite This Article

杨伟杰, 郭海辰, 包红云. 基于层次化上下文增强与知识库的关键要素抽取方法 [J]. 计算机应用研究, 2026, 43 (7). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0453. (Yang Weijie, Guo Haichen, Bao Hongyun. Method for key element extraction based on hierarchical context enhancement and knowledge base [J]. Application Research of Computers, 2026, 43 (7). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0453. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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