CASIA OpenIR  > 09年以前成果
Window-based method for information retrieval
Jin, QL; Zhao, J; Xu, B; Su, KY; Tsujii, J; Lee, JH; Kwong, OY
AbstractIn 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.
KeywordInformation Retrieval Window-based Method Named Entity
WOS HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000228359800013
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Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
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.
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