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» Using Information Extraction to Improve Document Retrieval
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CIKM
2010
Springer
15 years 3 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
DL
1998
Springer
111views Digital Library» more  DL 1998»
15 years 8 months ago
SONIA: A Service for Organizing Networked Information Autonomously
The recent explosion of on-line information in Digital Libraries and on the World Wide Web has given rise to a number of query-based search engines and manually constructed topica...
Mehran Sahami, Salim Yusufali, Michelle Q. Wang Ba...
JASIS
2008
102views more  JASIS 2008»
15 years 4 months ago
Hierarchical summarization of large documents
mation science has shown that human abstractors extract sentences for summaries based on the hierarchical structure of documents; however, the existing automatic summarization mode...
Christopher C. Yang, Fu Lee Wang
CIKM
2007
Springer
15 years 10 months ago
Latent semantic fusion model for image retrieval and annotation
This paper studies the effect of Latent Semantic Analysis (LSA) on two different tasks: multimedia document retrieval (MDR) and automatic image annotation (AIA). The contributio...
Trong-Ton Pham, Nicolas Maillot, Joo-Hwee Lim, Jea...
148
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SIGIR
2004
ACM
15 years 10 months ago
Learning effective ranking functions for newsgroup search
Web communities are web virtual broadcasting spaces where people can freely discuss anything. While such communities function as discussion boards, they have even greater value as...
Wensi Xi, Jesper Lind, Eric Brill