Computation of Word Similarity Based on the Information Content of Sememes and PageRank Algorithm

  • Hao Li
  • Lingling MuEmail author
  • Hongying Zan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10085)


Based on sememe structure of HowNet and PageRank algorithm, this article proposes a method to compute word similarity. Using depth information of HowNet as information content of sememes and considering sememe hyponymy, this method builds a transfer matrix and computes sememe vector with PageRank algorithm to obtain sememe similarity. Thus, the word similarity can be calculated by the sememe similarity. This method is tested on several groups of typical Chinese words and word sense classification of nouns in Contemporary Chinese Semantic Dictionary (CSD). The results show that the word similarity computed in this way quite conforms with the facts. It also shows a more accurate result in word sense classification of nouns in the CSD, reaching 71.9% consistency with the judgment of human.


Word similarity HowNet Sememe PageRank Word sense classification 


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© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.School of Information EngineeringZhengzhou UniversityZhengzhouChina

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