计算机科学 ›› 2013, Vol. 40 ›› Issue (12): 264-269.

• 人工智能 • 上一篇    下一篇

结合语义扩展度和词汇链的关键词提取算法

刘端阳,王良芳   

  1. 浙江工业大学计算机科学与技术学院 杭州310023;浙江工业大学计算机科学与技术学院 杭州310023
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金(61202204)资助

Extraction Algorithm Based on Semantic Expansion Integrated with Lexical Chain

LIU Duan-yang and WANG Liang-fang   

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

摘要: 针对影响关键词提取质量的一词多义现象、同义词现象以及文章主题准确全面表达的难点,提出了一种基于语义的关键词提取算法KESELC,利用《同义词词林》语义词典和统计信息计算语义相似度和相关度,进而得出语义扩展度及其计算方法,将语义扩展度和词汇链方法相结合,对文本分别作预处理、多义词词义消歧、同义词合并、词汇链构建、有效特征选取及对权重综合计算的处理,提取出的关键词不仅避免了同义词冗余表达,而且较准确全面地覆盖文本的主题。通过实验对比分析,验证了基于KESELC的方法比基于TFIDF的方法以及基于词汇链的方法具有较优的提取效果,具有一定的实际应用价值。

关键词: 同义词词林,语义扩展度,词汇链,关键词提取,语义分析

Abstract: For the difficulties that affect the quality of keywords extraction,such as the phenomenon of polysemy,synonyms as well as the accurate and comprehensive expression of the subjects in the text,a method named KESELC based on the semantics of keyword extraction was proposed.By calculating semantic similarity and semantic relevancy based on the tongyici cilin and statistical information,then the concept of semantic expansion and its calculation method were proposed.By combining semantic expansion with lexical chain,it made the text processing in terms of preprocess,polysemy disambiguation,synonym mergence,the construction of lexical chains,feature selection and improvement of weights computation.The extracted keywords not only avoid a redundant expression,but also cover the subjects of the article accurately and comprehensively.The experimental results show that the method of keyword extraction based on KESELC has better performance than the ones based on TFIDF and Lexical chain, and has a certain practical value.

Key words: Tongyici cilin,Semantic expansion,Lexical chain,Keyword extraction,Semantic analysis

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