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» Towards Using Fewer Features for Text Classification
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BMVC
2002
13 years 10 months ago
Texture classification with thousands of features
The Trace transform is a generalisation of the Radon transform that allows one to construct image features that do not necessarily have meaning in terms of human perception, but t...
Alexander Kadyrov, A. Talepbour, Maria Petrou
ICML
2004
IEEE
14 years 8 months ago
Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
Evgeniy Gabrilovich, Shaul Markovitch
IJCAI
2001
13 years 9 months ago
Using Text Classifiers for Numerical Classification
Consider a supervised learning problem in which examples contain both numerical- and text-valued features. To use traditional featurevector-based learning methods, one could treat...
Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, ...
SIGDIAL
2010
13 years 5 months ago
Towards Semi-Supervised Classification of Discourse Relations using Feature Correlations
Two of the main corpora available for training discourse relation classifiers are the RST Discourse Treebank (RST-DT) and the Penn Discourse Treebank (PDTB), which are both based ...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
EACL
2006
ACL Anthology
13 years 9 months ago
Towards Robust Animacy Classification Using Morphosyntactic Distributional Features
This paper presents results from experiments in automatic classification of animacy for Norwegian nouns using decision-tree classifiers. The method makes use of relative frequency...
Lilja Øvrelid