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KDD
2010
ACM
222views Data Mining» more  KDD 2010»
14 years 11 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...
DEXAW
2010
IEEE
190views Database» more  DEXAW 2010»
14 years 6 months ago
A Comparison of Stylometric and Lexical Features for Web Genre Classification and Emotion Classification in Blogs
In the blogosphere, the amount of digital content is expanding and for search engines, new challenges have been imposed. Due to the changing information need, automatic methods are...
Elisabeth Lex, Andreas Juffinger, Michael Granitze...
ICASSP
2008
IEEE
15 years 4 months ago
An iterative unsupervised learning method for information distillation
Information distillation techniques are used to analyze and interpret large volumes of speech and text archives in multiple languages and produce structured information of interes...
Kamand Kamangar, Dilek Hakkani-Tür, Gökh...
SIGIR
2012
ACM
13 years 8 days ago
Active query selection for learning rankers
Methods that reduce the amount of labeled data needed for training have focused more on selecting which documents to label than on which queries should be labeled. One exception t...
Mustafa Bilgic, Paul N. Bennett
ECAI
2004
Springer
15 years 3 months ago
Stacked Generalization for Information Extraction
1 This paper defines a new stacked generalization framework in the context of information extraction (IE) from online sources. The proposed setting removes the constraint of apply...
Georgios Sigletos, Georgios Paliouras, Constantine...