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» Word Importance Discrimination Using Context Information
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IPM
2006
171views more  IPM 2006»
14 years 9 months ago
Automatic extraction of bilingual word pairs using inductive chain learning in various languages
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi
JAIR
2008
118views more  JAIR 2008»
14 years 9 months ago
On the Use of Automatically Acquired Examples for All-Nouns Word Sense Disambiguation
This article focuses on Word Sense Disambiguation (WSD), which is a Natural Language Processing task that is thought to be important for many Language Technology applications, suc...
David Martínez, Oier Lopez de Lacalle, Enek...
ICVGIP
2004
14 years 11 months ago
Cursive Word Recognition Using a Novel Feature Extraction Method and a Neural Network
In this paper, we present a holistic system for the recognition of cursive handwriting that utilizes a novel feature extraction method and a neural network. The Hough transform is...
José Ruiz-Pinales, René Jaime-Rivas
RECOMB
2004
Springer
15 years 10 months ago
A discriminative model for identifying spatial cis-regulatory modules
Transcriptional regulation is mediated by the coordinated binding of transcription factors to the upstream regions of genes. In higher eukaryotes, the binding sites of cooperating...
Eran Segal, Roded Sharan
ISNN
2005
Springer
15 years 3 months ago
An Information Criterion for Informative Gene Selection
It is important in bioinformatics research and applications to select or discover informative genes of a tumor from microarray data. However, most of the existing methods are based...
Fei Ge, Jinwen Ma