Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 6
1651-1655

Wordhood memory networks with label attention for Chinese word segmentation

Han Shiyang1a,1b
Ma Zhiyuan1a,2
Yang Fangyan1b
Li Xiang1a,1c
Wang Wei1a,1c
1. a. Institute of Machine Intelligence, b. School of Mechanical Engineering, c. School of Optical- Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China
DOI: 10.19734/j.issn.1001-3695.2021.11.0592

Abstract

Wordhood information is an extremely important contextual feature for Chinese word segmentation, and as one of the newest segmentation models, WMSEG obtains the state-of-the-art segmentation performance by incorporating the wordhood information. However, the model does not consider the label dependencies in modeling, which leads to the dissatisfactory segmentation performance, especially the recognition of out-of-vocabulary words. Aiming for the issue, this paper introduced an attention mechanism with label embedding in the learning process, and proposed a wordhood memory networks with label attention to enhance the label dependencies and the correlations between labels and characters. The experimental results show that the model achieves equivalent if not better performance than WMSEG on four widely used datasets, and improves the recognition ability of out-of-vocabulary words.

Foundation Support

南京大学计算机软件新技术国家重点实验室开放课题项目(KFKT2021B39)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.11.0592
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Algorithm Research & Explore
Pages: 1651-1655
Serial Number: 1001-3695(2022)06-008-1651-05

Publish History

[2022-01-10] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

韩士洋, 马致远, 杨芳艳, 等. 针对中文分词的带标签注意力的成词记忆网络 [J]. 计算机应用研究, 2022, 39 (6): 1651-1655. (Han Shiyang, Ma Zhiyuan, Yang Fangyan, et al. Wordhood memory networks with label attention for Chinese word segmentation [J]. Application Research of Computers, 2022, 39 (6): 1651-1655. )

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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