文章基本信息

标题：Dependency Structure Applied to Language Modeling for Information Retrieval
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作者：Lee, Chang-Ki ; Lee, Gary Geun-Bae ; Jang, Myung-Gil 等
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