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CBMS
2007
IEEE
15 years 4 months ago
Text Categorization for Multi-label Documents and Many Categories
In this paper, we propose a new classification method that addresses classification in multiple categories of textual documents. We call it Matrix Regression (MR) due to its resem...
Iulian Sandu Popa, Karine Zeitouni, Georges Gardar...
EMNLP
2008
14 years 11 months ago
Learning Graph Walk Based Similarity Measures for Parsed Text
We consider a parsed text corpus as an instance of a labelled directed graph, where nodes represent words and weighted directed edges represent the syntactic relations between the...
Einat Minkov, William W. Cohen
ICIP
2009
IEEE
14 years 7 months ago
Text segmentation in natural scenes using Toggle-Mapping
We offer, in this paper, a new method to segment text in natural scenes. This method is based on the use of a morphological operator: the Toggle Mapping. The efficiency of the met...
Jonathan Fabrizio, Beatriz Marcotegui, Matthieu Co...
AIRS
2004
Springer
15 years 3 months ago
Automatic Word Clustering for Text Categorization Using Global Information
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
Wenliang Chen, Xingzhi Chang, Huizhen Wang, Jingbo...
AAAI
1998
14 years 11 months ago
Learning to Classify Text from Labeled and Unlabeled Documents
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...