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» Learning to rank for information retrieval (LR4IR 2008)
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PVLDB
2010
115views more  PVLDB 2010»
15 years 4 months ago
ROXXI: Reviving witness dOcuments to eXplore eXtracted Information
In recent years, there has been considerable research on information extraction and constructing RDF knowledge bases. In general, the goal is to extract all relevant information f...
Shady Elbassuoni, Katja Hose, Steffen Metzger, Ral...
CIKM
2008
Springer
15 years 8 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
TREC
2001
15 years 7 months ago
Oracle at TREC 10: Filtering and Question-Answering
: Oracle's objective in TREC-10 was to study the behavior of Oracle information retrieval in previously unexplored application areas. The software used was Oracle9i Text[1], O...
Shamin Alpha, Paul Dixon, Ciya Liao, Changwen Yang
SIGIR
2011
ACM
14 years 9 months ago
A boosting approach to improving pseudo-relevance feedback
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
Yuanhua Lv, ChengXiang Zhai, Wan Chen
WWW
2004
ACM
16 years 6 months ago
Is question answering an acquired skill?
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...
Ganesh Ramakrishnan, Soumen Chakrabarti, Deepa Par...