计算机科学 ›› 2009, Vol. 36 ›› Issue (12): 227-230.

• 人工智能 • 上一篇    下一篇

一种基于语义特征的逻辑段落划分方法及应用

朱振方,刘培玉,王金龙   

  1. (山东师范大学信息科学与工程学院 济南250014)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然基金(60873247),山东省自然基金(Y2006G20),山东省高新自主创新专项工程(2008GG28)资助。

Logical Paragraph Division Based on Semantic Characteristics and its Application

ZHU Zhen-fang,LIU Pei-yu,WANG Jin-long   

  • Online:2018-11-16 Published:2018-11-16

摘要: 引入了一种以逻辑概念为中心的段落化匹配方式。该方法建立在概念词典之上,通过分析待分类文本中所包含的逻辑概念,将待分类文本中表达相同意义的段落进行聚类分析以得到一个逻辑层次,并建立以此逻辑层次划分方法为基础的逻辑段落概念,然后以该逻辑段落作为依据来衡量不同的段落对于文本主题表示的贡献程度。同时,针对匹配过程中存在的多义词和同义词现象,引入了同义词概念扩充和关联词语扩充。实验证明,该方法能够获得更高的内容过滤准确率,有效提高分类效果。

关键词: 概念,段落化,文本分类,概念词典

Abstract: A new matching method based on logircentered paragraphs was introduced. The method built on the basis of the concept dictionary carried out the cluster analysis of the paragraphs which have the same meaning in the text by analyzing the logical concept of the text to be classified so as to get a logical level, and established the logical paragraph concept on the basis of the division method of the logical level, then measured the contribution of different paragraphs to the text theme according to the logical paragraph. At the same time, in order to solve problem of synonyms and polysemy in the matching process, the expansion of the synonyms concept and related words were introduced. Experimental results show that this method can obtain a higher accuracy rate in content flitting, improving the effectiveness of classification effectively.

Key words: Concept, Paragraphs, Text classification, Concept dictionary

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