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TKDE
2008
111views more  TKDE 2008»
13 years 7 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
ICIP
2000
IEEE
14 years 9 months ago
Integrating Visual, Audio and Text Analysis for News Video
In this paper, we present a system developed for content-based broadcasted news video browsing for home users. There are three main factors that distinguish our work from other si...
Wei Qi, Lie Gu, Hao Jiang, Xiang-Rong Chen, HongJi...
LREC
2010
188views Education» more  LREC 2010»
13 years 9 months ago
Pattern-Based Extraction of Negative Polarity Items from Dependency-Parsed Text
We describe a new method for extracting Negative Polarity Item candidates (NPI candidates) from dependency-parsed German text corpora. Semi-automatic extraction of NPIs is a chall...
Fabienne Fritzinger, Frank Richter, Marion Weller
ECIR
2004
Springer
13 years 9 months ago
Complex Linguistic Features for Text Classification: A Comprehensive Study
Abstract. Previous researches on advanced representations for document retrieval have shown that statistical state-of-the-art models are not improved by a variety of different ling...
Alessandro Moschitti, Roberto Basili
WEBI
2005
Springer
14 years 1 months ago
A Semi-Supervised Document Clustering Algorithm Based on EM
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
Leonardo Rigutini, Marco Maggini