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2019 , Vol. 63 >Issue 18: 109 - 118

DOI: https://doi.org/10.13266/j.issn.0252-3116.2019.18.013

Research on the Selection of Chinese Patent Candidate Term Based on Dependency Syntax Parsing

  • Yu Yan ,
  • Chen lei ,
  • Jiang Jinde ,
  • Zhao Naixuan
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  • 1. Information Service Department, Nanjing Tech University, Nanjing 210009;
    2. Computer Science Department, Chengxian College, Southeast University, Nanjing 211816;
    3. School of Business, Nanjing Xiaozhuang University, Nanjing 211171

Received date: 2019-01-22

  Revised date: 2019-04-14

  Online published: 2019-09-20

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Abstract

[Purpose/significance] Aiming at the difficulties in making different pattern matching rules for different data sets and the low accuracy of Chinese patent term extraction, this paper proposes a selection method of Chinese patent candidate term based on dependency syntax parsing to improve the accuracy of Chinese patent term extraction.[Method/process] The method mainly includes three main steps:dependency syntax parsing, pruning and dependency subtree generation. Firstly, dependency syntax analysis was carried out on the Chinese patent text, from which dependency tree were obtained. Then, the dependency subtrees were generated by removing dependency relations which do not meet requirements. At last, the continuous word strings were selected as candidate terms to extract Chinese patent terms.[Result/conclusion] The experimental results show that compared with the existing related methods, the proposed method based on dependency syntax parsing can effectively improve the accuracy of Chinese patent term extraction.

Key words： term extraction; dependency syntax parsing; Chinese patent candidate term selection

Cite this article

Yu Yan , Chen lei , Jiang Jinde , Zhao Naixuan . Research on the Selection of Chinese Patent Candidate Term Based on Dependency Syntax Parsing[J]. Library and Information Service, 2019 , 63(18) : 109 -118 . DOI: 10.13266/j.issn.0252-3116.2019.18.013

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