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JCST
2008
138views more  JCST 2008»
14 years 11 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003
SIGIR
2002
ACM
14 years 11 months ago
Cross-lingual relevance models
We propose a formal model of Cross-Language Information Retrieval that does not rely on either query translation or document translation. Our approach leverages recent advances in...
Victor Lavrenko, Martin Choquette, W. Bruce Croft
WWW
2008
ACM
16 years 11 days ago
Extracting spam blogs with co-citation clusters
This paper reports the estimated number of spam blogs in order to assess their current state in the blogosphere. To extract spam blogs, I developed a traversal method among co-cit...
Kazunari Ishida
SIGIR
2005
ACM
15 years 5 months ago
Title extraction from bodies of HTML documents and its application to web page retrieval
This paper is concerned with automatic extraction of titles from the bodies of HTML documents. Titles of HTML documents should be correctly defined in the title fields; however, i...
Yunhua Hu, Guomao Xin, Ruihua Song, Guoping Hu, Sh...
SIGIR
2009
ACM
15 years 6 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero