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  • 标题:Using Wikipedia as an External Knowledge Source for Supporting Contextual Disambiguation
  • 本地全文:下载
  • 作者:Shahida Jabeen ; Xiaoying Gao ; Peter Andreae
  • 期刊名称:Journal of Software Engineering and Applications
  • 印刷版ISSN:1945-3116
  • 电子版ISSN:1945-3124
  • 出版年度:2012
  • 卷号:5
  • 期号:12B
  • 页码:175-180
  • DOI:10.4236/jsea.2012.512B034
  • 出版社:Scientific Research Publishing
  • 摘要:Every term has a meaning but there are terms which have multiple meanings. Identifying the correct meaning of a term in a specific context is the goal of Word Sense Disambiguation (WSD) applications. Identifying the correct sense of a term given a limited context is even harder. This research aims at solving the problem of identifying the correct sense of a term given only one term as its context. The main focus of this research is on using Wikipedia as the external knowledge source to decipher the true meaning of each term using a single term as the context. We experimented with the semantically rich Wikipedia senses and hyperlinks for context disambiguation. We also analyzed the effect of sense filtering on context extraction and found it quite effective for contextual disambiguation. Results have shown that disambiguation with filtering works quite well on manually disambiguated dataset with the performance accuracy of 86%.
  • 关键词:Contextual Disambiguation; Wikipedia Hyperlinks; Semantic Relatedness
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