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文章基本信息

  • 标题:Dependency Structure Applied to Language Modeling for Information Retrieval
  • 本地全文:下载
  • 作者:Lee, Chang-Ki ; Lee, Gary Geun-Bae ; Jang, Myung-Gil
  • 期刊名称:ETRI Journal
  • 印刷版ISSN:1225-6463
  • 电子版ISSN:2233-7326
  • 出版年度:2006
  • 卷号:28
  • 期号:3
  • 页码:337-346
  • 语种:English
  • 出版社:Electronics and Telecommunications Research Institute
  • 摘要:In this paper, we propose a new language model, namely, a dependency structure language model, for information retrieval to compensate for the weaknesses of unigram and bigram language models. The dependency structure language model is based on the first-order dependency model and the dependency parse tree generated by a linguistic parser. So, long-distance dependencies can be naturally captured by the dependency structure language model. We carried out extensive experiments to verify the proposed model, where the dependency structure model gives a better performance than recently proposed language models and the Okapi BM25 method, and the dependency structure is more effective than unigram and bigram in language modeling for information retrieval.
  • 关键词:Language model;term dependency;information retrieval;dependency structure
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