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基于维基百科的语义相关度算法研究综述 被引量：1

An overview of the semantic relevancy algorithm based on Wikipedia
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摘要 在总结维基百科特点的基础上,调研了国内外使用维基百科计算语义相关度的算法。根据这些算法的特点,对其进行了系统的分类,并列举了每个分类下的经典算法。 On the basis of summarizing the characters of the Wikipedia, this paper researches the algorithm of calculating semantic relatedness using Wikipedia at home and abroad. Based on the characteristics of these algorithms, this paper classifies these algorithms systematically, and lists the classic algorithms under each category.
作者 景雪芹 徐建良
机构地区 中国海洋大学信息科学与工程学院
出处 《微型机与应用》 2015年第14期12-14,共3页 Microcomputer & Its Applications
关键词 维基百科 相关度 算法 Wikipedia relatedness algorithm
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献7

  • 1STRUBE M, PONZETI'O S P. WikiRelate! Computing se- mantic relatedness using Wikipedia [C]. AAAI, 2006,6: 1419-1424.
  • 2ZESCH T, GUREVYCH I. Analysis of the Wikipedia cate- gory graph for NLP applications [C]. Proceedings of the TextGraphs-2 Workshop (NAACL-HLT 2007), 2007 : 1-8.
  • 3MEDELYAN O, MILNE D, LEGG C, et al. Mining mean- ing from Wikipedia[J]. International Journal of Human-Com- puter Studies, 2009,67(9):716-754.
  • 4BANERJEE S, PEDERSEN T. Extended gloss overlaps as a measure of semantic relatedness[C]. IJCAI, 2003,3:805-810.
  • 5LESK M. Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone [C]. Proceedings of the 5th Annual International Conference on Systems Documentation, ACM, 1986:24-26.
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  • 7NAKAYAMA K, HARA T, NISHIO S. Wikipedia mining for an association Web thesaurus construction [M]. Web In- formation Systems Engineering-WISE 2007, Springer Berlin Heidelberg, 2007: 322-334.

同被引文献86

  • 1王广正,王喜凤.基于知网语义相关度计算的词义消歧方法[J].安徽工业大学学报（自然科学版）,2008,25(1):71-75. 被引量：10
  • 2Mohammad S,Hirst G. Distributional Measures of Concept- distance: A Task-oriented Evaluation [ C ]//Proceedings of the Conference on Empirical Methods in NaturalLanguage Processing, 2006:35-43.
  • 3Zesch T, Gurevych I. Wisdom of crowds versus wisdom of linguists-measuring the semantic relatedness of words [J]. Natural Language Engineering, 2010, 16 ( 1 ): 25 -59.
  • 4Zhang Z Q, Gentile A L, Ciranegna F. Recent advances in methods of lexical semantic relatedness-a survey [ J ]. Natural Language Engineering, 2013, 19(4) : 411-479.
  • 5Lesk M E. Automated sense disambiguation using machine readable dictionaries: how to tell a pine cone from all ice cream cone [ C ]//Proceedings of the S1GDOC, New York USA, 1986: 24-26.
  • 6Banerjee S, Pedersen T. Extended gloss overlaps as a measure of semantic relatedness//Proceedings of the IJCIA, Acapulco, Mexico, 2003 : 805-810.
  • 7Gurevych I. Using the structure of a conceptual network in computing semantic relatedness [ C ]//Proceedings of the IJCNLP, Berlin, Germany, 2005 : 767-778.
  • 8Gentleman R. Visualizing and distances using GO [ OL]. http://www, bioconductor, org. April 16, 2015.
  • 9Morris J, Hirst G. Lexical cohesion computed by thesaural relations as an indicator of the structure of text [ J ]. Computational Linguistics, 1991, 17 ( 1 ) :21-48.
  • 10Kozima H, Teiji H. Similarity between words computed by spreading activation on an English dictionary [ C ]// Proceedings of the EACL, Utrecht, Germany, 1993: 232-240.

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微型机与应用
2015年 第14期

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