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» Using Information Extraction to Improve Document Retrieval
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ICDAR
2009
IEEE
15 years 4 months ago
Graph b-Coloring for Automatic Recognition of Documents
In order to reduce the rejection rate of our automatic reading system, we propose to pre-classify the business documents by introducing an Automatic Recognition of Documents stage...
Djamel Gaceb, Véronique Eglin, Frank Lebour...
AAAI
2007
15 years 9 months ago
Photometric and Geometric Restoration of Document Images Using Inpainting and Shape-from-Shading
The popularity of current hand-held digital imaging devices such as camera phones, PDAs, camcorders has promoted the use of digital cameras to capture document images for daily in...
Li Zhang, Andy M. Yip, Chew Lim Tan
CIKM
2007
Springer
16 years 27 days ago
Expertise drift and query expansion in expert search
Pseudo-relevance feedback, or query expansion, has been shown to improve retrieval performance in the adhoc retrieval task. In such a scenario, a few top-ranked documents are assu...
Craig Macdonald, Iadh Ounis
SIGIR
2004
ACM
16 years 4 days ago
Retrieval evaluation with incomplete information
This paper examines whether the Cranfield evaluation methodology is robust to gross violations of the completeness assumption (i.e., the assumption that all relevant documents wi...
Chris Buckley, Ellen M. Voorhees
SIGIR
2006
ACM
16 years 20 days ago
Statistical precision of information retrieval evaluation
We introduce and validate bootstrap techniques to compute confidence intervals that quantify the effect of test-collection variability on average precision (AP) and mean average...
Gordon V. Cormack, Thomas R. Lynam