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ICDAR
2009
IEEE
13 years 5 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
JSW
2008
203views more  JSW 2008»
13 years 7 months ago
Automatic Discovery of Semantic Relations Based on Association Rule
Automatic discovery of semantic relations between resources is a key issue in Web-based intelligent applications such as document understanding and Web services. This paper explore...
Xiangfeng Luo, Kai Yan, Xue Chen
ER
2003
Springer
98views Database» more  ER 2003»
14 years 22 days ago
Extracting Relations from XML Documents
XML is becoming a prevalent format for data exchange. Many XML documents have complex schemas that are not always known, and can vary widely between information sources and applica...
Eugene Agichtein, C. T. Howard Ho, Vanja Josifovsk...
COMAD
2009
13 years 8 months ago
Automated Concept Extraction to aid Legal eDiscovery Review
E-Discovery is the process of discovering electronically stored information such as email that is relevant to a legal case. A typical ediscovery process incurs huge costs due to t...
Prasad M. Deshpande, Thomas Hampp, Manjula Hosurma...
ICDAR
2009
IEEE
14 years 2 months ago
ICDAR 2009 Book Structure Extraction Competition
This paper introduces the Book Structure Extraction competition run at ICDAR 2009. The goal of the competition is to evaluate and compare automatic techniques for deriving structu...
Antoine Doucet, Gabriella Kazai, Bodin Dresevic, A...