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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 6

Contextual enhancement template for emergency event extraction via position-aware attention mechanism

Guo Jialiang1a,1b
Wang Wei1a,1b,2
Ju Jing1a,1b
Wang Yafei1a,1b
1. a. School of Information & Electrical Engineering, b. Hebei Key Laboratory of Security & Protection Information Sensing & Processing, Handan Hebei 056038, China
2. School of Electrical Engineering & information, Southwest Petroleum University, Chengdu 610500, China
DOI: 10.19734/j.issn.1001-3695.2024.10.0455

Abstract

The task of emergency event extraction aims to detect and extract the event types and elements contained within news reports of emergency events, providing detailed and structured information for public safety and emergency response. To address the issue of neglecting contextual information caused by sparse textual data in the domain of emergency event extraction, this paper proposes an emergency event extraction model based on a context-enhanced hybrid prompt template and a position-aware attention mechanism. First, a context-enhanced hybrid prompt template is designed, which incorporates task-related prompts into the input text to improve the model's understanding and reasoning ability for the task. Additionally, a position-aware attention mechanism is introduced, capturing key se-mantic information from both forward and backward directions to overcome the symmetry limitations of traditional attention mechanisms. Experimental results on a Chinese emergency event corpus show that the proposed method achieves F1 scores of 91.8% for event type detection and 82.0% for event element extraction.

Foundation Support

国家自然科学基金项目(61802107)
河北省高等学校科学技术研究项目重点项目(ZD2020171)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.10.0455
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 6

Publish History

[2025-03-10] Accepted Paper

Cite This Article

郭嘉梁, 王巍, 剧京, 等. 融合混合提示与位置感知的突发事件抽取模型 [J]. 计算机应用研究, 2025, 42 (6). (2025-03-10). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0455. (Guo Jialiang, Wang Wei, Ju Jing, et al. Contextual enhancement template for emergency event extraction via position-aware attention mechanism [J]. Application Research of Computers, 2025, 42 (6). (2025-03-10). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0455. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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