Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (36): 150-153.DOI: 10.3778/j.issn.1002-8331.2010.36.041

• 数据库、信号与信息处理 • Previous Articles     Next Articles

Semantic similarity computation between sentences

LV Qiang1,DENG Wei2,SONG Ling3   

  1. 1.State Grid of China Technology College,Jinan 250002,China
    2.Basic Courses Department,Shandong University of Science and Technology,Tai’an,Shandong 271021,China
    3.School of Computer Science and Technology,Shandong Jianzhu University,Jinan 250002,China
  • Received:2010-07-20 Revised:2010-09-14 Online:2010-12-21 Published:2010-12-21
  • Contact: LV Qiang

句子语义相似度计算

吕 强1,邓 薇2,宋 玲3   

  1. 1.国网技术学院,济南 250002
    2.山东科技大学 基础课部,山东 泰安 271021
    3.山东建筑大学 计算机科学与技术学院,济南 250101

  • 通讯作者: 吕 强

Abstract: The problem of measuring the similarity between two sentences or two text segments has become increasingly important for many Web-related tasks.A Semantic Similarity between Sentences(SSBS) is devised based on semantic similarity between words.Relevant experiments are carried.Compared with other methods,SSBS considers not only semantic similarity and string edit distance between vocabularies but also part of speech tagging.

Key words: semantic similarity computation, sentence, text segment, ontology

摘要: 句子或文本片段相似度计算在与Web相关的任务中起着越来越重要的作用。在基于概念之间的语义相似度基础之上,提出一种句子语义相似度的计算方法SSBS并进行了相关的实验。与其他方法相比,SSBS方法在特征的量化过程中不仅考虑两个句子的概念对之间的语义相似度和字符串编辑距离,还考虑了不同词性的概念对句子相似度的影响。

关键词: 语义相似度计算, 句子, 文本片段, 本体

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