中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Window-based method for information retrieval

文献类型:期刊论文

作者Jin, QL; Zhao, J; Xu, B; Su, KY; Tsujii, J; Lee, JH; Kwong, OY
刊名NATURAL LANGUAGE PROCESSING - IJCNLP 2004
出版日期2005
卷号3248页码:120-129
关键词information retrieval window-based method named entity
英文摘要In this paper, a series of window-based methods is proposed for information retrieval. Compared with traditional tf-idf model, our approaches are based on two new key notions. The first one is that the closer the query words in a document, the larger the similarity value between the query and the document. And the second one is that some query words, like named entities and baseNP called "Core Words" are much more important than other words, and should have special weights. We implement the above notions by three models. They are Simple Window-based Model, Dynamic Window-based Model and Core Window-based Model. Our models can compute similarities between queries and documents based on the importance and distribution of query words in the documents. TREC data are used to test the algorithms. The experiments indicate that our window-based methods outperform most of the traditional methods, such as tf-idf and Okapi BM25. And the Core Window-based Model is the best and most robust model for various queries.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
收录类别ISTP ; SCI
语种英语
WOS记录号WOS:000228359800013
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9158]  
专题自动化研究所_09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Jin, QL,Zhao, J,Xu, B,et al. Window-based method for information retrieval[J]. NATURAL LANGUAGE PROCESSING - IJCNLP 2004,2005,3248:120-129.
APA Jin, QL.,Zhao, J.,Xu, B.,Su, KY.,Tsujii, J.,...&Kwong, OY.(2005).Window-based method for information retrieval.NATURAL LANGUAGE PROCESSING - IJCNLP 2004,3248,120-129.
MLA Jin, QL,et al."Window-based method for information retrieval".NATURAL LANGUAGE PROCESSING - IJCNLP 2004 3248(2005):120-129.

入库方式: OAI收割

来源:自动化研究所

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