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» Unsupervised Relation Extraction From Web Documents
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ICPR
2008
IEEE
14 years 2 months ago
Unsupervised categorization of heterogeneous text images based on fractals
This paper deals about text extraction from heterogeneous documents for categorizing documents and indexing tasks. The purpose of this work is to find similar text regions basing ...
Badreddine Khelifi, Nizar Zaghden, Adel M. Alimi, ...
AUSAI
2003
Springer
14 years 1 months ago
Semi-Automatic Construction of Metadata from a Series of Web Documents
Metadata plays an important role in discovering, collecting, extracting and aggregating Web data. This paper proposes a method of constructing metadata for a specific topic. The m...
Sachio Hirokawa, Eisuke Itoh, Tetsuhiro Miyahara
WWW
2009
ACM
14 years 8 months ago
Unsupervised query categorization using automatically-built concept graphs
Automatic categorization of user queries is an important component of general purpose (Web) search engines, particularly for triggering rich, query-specific content and sponsored ...
Eustache Diemert, Gilles Vandelle
ICMLA
2009
13 years 5 months ago
Knowledge Transfer for Feature Generation in Document Classification
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Jian Zhang, Shobhit S. Shakya
ECWEB
2005
Springer
127views ECommerce» more  ECWEB 2005»
14 years 1 months ago
Knowledge Discovery in Web-Directories: Finding Term-Relations to Build a Business Ontology
The Web continues to grow at a tremendous rate. Search engines find it increasingly difficult to provide useful results. To manage this explosively large number of Web documents,...
Sandip Debnath, Tracy Mullen, Arun Upneja, C. Lee ...