Algorithm Research & Explore
|
351-354,369

Abstractive Chinese summarization model with linguistic features

Hu Demin
Wang Rongrong
School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

In order to solve the problem that the Chinese summarization generated by traditional abstractive models can hardly preserve the semantic information of the original text, this paper proposed an abstractive Chinese summarization model with linguistic features. This model added a connection layer, and spliced features such as part of speech, named entity, word position, and TF-IDF into the word vector, so that the word vector of the input model contained more semantic information to determine the key entity. The pointer mechanism allowed model selectively copied the keywords in source text into the summarization to improve the semantic relevance between source text and summarization. This paper evaluated this model on LCSTS dataset, and obtained a higher ROUGE score than the baseline model. The analysis result shows that the model can generate Chinese summarization with higher semantic relevance.

Foundation Support

国家自然科学基金资助项目(61170227,61472256)
上海市教委科研创新重点资助项目(12zz17)
上海市一流学科建设项目(S1201YLXK)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0531
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Algorithm Research & Explore
Pages: 351-354,369
Serial Number: 1001-3695(2020)02-007-0351-04

Publish History

[2020-02-05] Printed Article

Cite This Article

胡德敏, 王荣荣. 融合语言特征的抽象式中文摘要模型 [J]. 计算机应用研究, 2020, 37 (2): 351-354,369. (Hu Demin, Wang Rongrong. Abstractive Chinese summarization model with linguistic features [J]. Application Research of Computers, 2020, 37 (2): 351-354,369. )

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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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