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TKDE
2008
111views more  TKDE 2008»
15 years 6 months ago
Text Clustering with Feature Selection by Using Statistical Data
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
Yanjun Li, Congnan Luo, Soon M. Chung
ARTMED
1999
56views more  ARTMED 1999»
15 years 6 months ago
Refining instructional text generation after evaluation
In this paper, we describe how user-adapted explanations about drug prescriptions can be generated from already existing data sources. We start by illustrating the two-step approa...
Fiorella de Rosis, Floriana Grasso, Dianne C. Berr...
SOCIALCOM
2010
15 years 4 months ago
Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
Harish Sethu, Alexander Yates
ECIR
2009
Springer
15 years 4 months ago
Active Learning Strategies for Multi-Label Text Classification
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
Andrea Esuli, Fabrizio Sebastiani
ICDAR
2011
IEEE
14 years 6 months ago
Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation
—Handwritten text line segmentation on real-world data presents significant challenges that cannot be overcome by any single technique. Given the diversity of approaches and the...
Vasant Manohar, Shiv Naga Prasad Vitaladevuni, Hua...