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» Linguistic Knowledge can Improve Information Retrieval
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SIGIR
2002
ACM
14 years 9 months ago
Web question answering: is more always better?
This paper describes a question answering system that is designed to capitalize on the tremendous amount of data that is now available online. Most question answering systems use ...
Susan T. Dumais, Michele Banko, Eric Brill, Jimmy ...
TMM
2002
140views more  TMM 2002»
14 years 9 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
15 years 3 months ago
Detecting Document Genre for Personalization of Information Retrieval
We report on the effectiveness of language models for personalization of retrieval results based on a searcher’s preference for document genre. In principle, such preferences ca...
Gheorghe Muresan, Catherine L. Smith, Michael Cole...
ECIR
2009
Springer
15 years 7 months ago
"They Are Out There, If You Know Where to Look": Mining Transliterations of OOV Query Terms for Cross-Language Information Retri
It is well known that the use of a good Machine Transliteration system improves the retrieval performance of Cross-Language Information Retrieval (CLIR) systems when the query and ...
Raghavendra Udupa, K. Saravanan, Anton Bakalov, Ab...
MMDB
2003
ACM
94views Multimedia» more  MMDB 2003»
15 years 3 months ago
Improving image retrieval effectiveness via multiple queries
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...
Xiangyu Jin, James C. French