Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2382-2386,2392

Chinese nested named entity recognition based on vocabulary fusion and span detection

Chen Shuzhen1
Dou Quansheng1,2,3
Tang Huanling1,2,3
Jiang Ping1
1. School of Computer Science & Technology, Shandong Technology & Business University, Yantai Shandong 264000, China
2. Shandong Future Intelligent Computing Collaborative Innovation Center, Yantai Shandong 264000, China
3. Key Laboratory of Intelligent Information Processing in Universities of Shandong, Yantai Shandong 264000, China
DOI: 10.19734/j.issn.1001-3695.2022.11.0767

Abstract

At present, Chinese named entity recognition model has errors in recognizing entities with nested structures, so it can not be recognized accurately. The method based on span can find nested entities, but when detecting text, it often gene-rates span without entities, and can not clearly define the span boundary, which increases the model burden. To solve this problem, this paper proposed a Chinese nested named entity recognition model based on vocabulary fusion and span boundary detection. The model used multi-word fusion method to enhance text features, and it merged multiple lexical information rela-ted to the characters in the target sentence in the designed injection module. Ant then it integrated into BERT to obtain more comprehensive context information, and provided better span representation. Secondly, it added a span boundary detection method to divide the span boundary by predicting the first and last characters of the span by perceptual classifier. Experiments on public data sets show that the model can effectively improve the recognition accuracy.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0767
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Algorithm Research & Explore
Pages: 2382-2386,2392
Serial Number: 1001-3695(2023)08-021-2382-05

Publish History

[2023-02-14] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

陈淑振, 窦全胜, 唐焕玲, 等. 基于词融合与跨度检测的中文嵌套命名实体识别 [J]. 计算机应用研究, 2023, 40 (8): 2382-2386,2392. (Chen Shuzhen, Dou Quansheng, Tang Huanling, et al. Chinese nested named entity recognition based on vocabulary fusion and span detection [J]. Application Research of Computers, 2023, 40 (8): 2382-2386,2392. )

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  • 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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