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An Improvement of Sentence Similarity Calculation Based on Multifeatures

  

  1. College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • Received:2015-02-13 Online:2015-07-23 Published:2015-07-28

Abstract:

Sentence similarity calculation is a key issue in the field of natural language processing. There are many methods to calculate sentence similarity. We research the
problem of low calculation results of sentence similarity calculation model based on multifeatures. On the basis of word semantic similarity, the paper adds similar word
calculation method, at the same time, adds the similarity calculation method of the sentence constituents’ relationship. The improved method not only avoids the operation of
the additional synonyms dictionary, but also fully considers the words in the sentence, sentence length, word order, semantic, the relationship of sentence constituents. The
method improves the sentence similarity calculation results. Experimental results show that the method can improve the results of sentence similarity calculation and the method
is reasonable, simple and feasible.

Key words: sentence similarity; similar word; constituent&rsquo, s relationship; multifeatures

CLC Number: