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» Using Information Extraction to Improve Document Retrieval
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CIKM
2010
Springer
15 years 3 months ago
Reverted indexing for feedback and expansion
Traditional interactive information retrieval systems function by creating inverted lists, or term indexes. For every term in the vocabulary, a list is created that contains the d...
Jeremy Pickens, Matthew Cooper, Gene Golovchinsky
139
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RIAO
2007
15 years 6 months ago
An Information Retrieval Driven by Ontology: from Query to Document Expansion
The paper proposes an approach to information retrieval based on the use of a structure (ontology) both for document (resp. query) indexing and query evaluating. The conceptual st...
Mustapha Baziz, Mohand Boughanem, Gabriella Pasi, ...
CLEF
2011
Springer
14 years 4 months ago
External Plagiarism Detection using Information Retrieval and Sequence Alignment - Notebook for PAN at CLEF 2011
Abstract This paper describes the University of Sheffield entry for the 3rd International Competition on Plagiarism Detection which attempted the monolingual external plagiarism d...
Rao Muhammad Adeel Nawab, Mark Stevenson, Paul D. ...
SIGIR
2008
ACM
15 years 4 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella
WWW
2010
ACM
15 years 11 months ago
CETR: content extraction via tag ratios
We present Content Extraction via Tag Ratios (CETR) – a method to extract content text from diverse webpages by using the HTML document’s tag ratios. We describe how to comput...
Tim Weninger, William H. Hsu, Jiawei Han