作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2011, Vol. 37 ›› Issue (10): 47-49. doi: 10.3969/j.issn.1000-3428.2011.10.015

• 软件技术与数据库 • 上一篇    下一篇

基于词性及词性依存的句子结构相似度计算

蓝雁玲 1,陈建超 2   

  1. (1. 华南理工大学计算机科学与工程学院计算机系,广州 510006;2. 广东商学院数学与计算科学学院,广州 510320)
  • 出版日期:2011-05-20 发布日期:2011-05-20
  • 作者简介:蓝雁玲(1985-),女,硕士,主研方向:数据挖掘;陈建超,博士
  • 基金资助:
    广东省自然科学基金资助项目(07006474);广东省科技 攻关基金资助项目(2007B010200044)

Chinese Sentence Structures Similarity Computation Based on POS and POS Dependency

LAN Yan-ling 1, CHEN Jian-chao 2   

  1. (1. Dept. of Computer, Institute of Computer Science & Engineering, South China University of Technology, Guangzhou 510006, China; 2. School of Mathematics and Computing Science, Guangdong University of Business Studies, Guangzhou 510320, China)
  • Online:2011-05-20 Published:2011-05-20

摘要: 为提高句子相似度的准确率,从结构相似度出发,提出基于词性及词性依存关系的句子结构相似度计算方法。该方法从正向和逆向比较句子的词性序列,获得2个句子词性及词性依存关系的最优匹配,从而计算句子结构相似度。实验结果表明,该方法能使句子结构相似度计算更合理。

关键词: 句子结构, 词性依存, 结构相似度, 自然语言处理

Abstract: In order to improve the accuracy of sentence similarity from structures similarity, this paper proposes a similarity measure method of Chinese sentence structures. It performs the optimal matching between the Part Of Speech(POS) sequences and POS dependency of two compared sentences. Experimental results show that the new method works well and it is more reasonable than the other methods.

Key words: sentence structures, Part Of Speech(POS) dependency, structures similarity, natural language processing

中图分类号: