Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 5
1410-1415,1440

Relationship-oriented entity relationship extraction method combining dependent information

Wang Jinghui
Lu Ling
Duan Zhili
Zhang Liang
Wang Yuke
College of Computer Science & Engineering, Chongqing University of Technology, Chongqing 400050, China
DOI: 10.19734/j.issn.1001-3695.2022.10.0540

Abstract

Most Chinese entity relationship extraction methods represent text with character sequences, which suffer from insufficient semantic representation of characters and semantic forgetting of long character sequences, thus limiting the recall of remote entities. Therefore, this paper proposed relationship-oriented extraction method incorporating dependent syntactic information. The method gave character sequences and word sequences based on synonym representation as inputs to the input layer. At the encoding end, it used LSTM for text coding, and added global dependency information to generate the representation of relation gates. The decoding terminal added dependency type information, and under the function of relation gate, it decoded the entity relation triplet by bidirectional long short memory network(BiLSTM). The F1 values of this method on SanWen, FinRE, DuIE and IPRE Chinese datasets were 5.84%, 2.11%, 2.69% and 0.39% higher than those of the baseline methods, respectively. The ablation studies show that both global dependency information and dependency type information contribute to performance improvement, while extraction performance for long sentences and remote entities is also consistently outperforming the baseline approaches.

Foundation Support

国家社会科学基金西部项目(2017CG29)
重庆市教育科学规划课题资助项目(2021CJG05)
重庆理工大学研究生教育高质量发展行动计划资助项目(gzlcx20223201)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.10.0540
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Algorithm Research & Explore
Pages: 1410-1415,1440
Serial Number: 1001-3695(2023)05-019-1410-06

Publish History

[2023-01-10] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

王景慧, 卢玲, 段志丽, 等. 融合依存信息的关系导向型实体关系抽取方法 [J]. 计算机应用研究, 2023, 40 (5): 1410-1415,1440. (Wang Jinghui, Lu Ling, Duan Zhili, et al. Relationship-oriented entity relationship extraction method combining dependent information [J]. Application Research of Computers, 2023, 40 (5): 1410-1415,1440. )

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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