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» Part of Speech Tagging Using a Network of Linear Separators
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JMLR
2012
11 years 7 months ago
Deep Learning Made Easier by Linear Transformations in Perceptrons
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
Tapani Raiko, Harri Valpola, Yann LeCun
ACL
1996
13 years 6 months ago
Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach
In this paper, we present a new approach for word sense disambiguation (WSD) using an exemplar-based learning algorithm. This approach integrates a diverse set of knowledge source...
Hwee Tou Ng, Hian Beng Lee
TNN
2010
227views Management» more  TNN 2010»
12 years 11 months ago
Self-Organizing MultiLayer Perceptron
Abstract--A set of Artificial Neural Network (ANN) based methods for the design of an effective system of speech recognition of numerals of Assamese language captured under varied ...
B. Gas
LREC
2010
186views Education» more  LREC 2010»
13 years 6 months ago
The EPAC Corpus: Manual and Automatic Annotations of Conversational Speech in French Broadcast News
This paper presents the EPAC corpus which is composed by a set of 100 hours of conversational speech manually transcribed and by the outputs of automatic tools (automatic segmenta...
Yannick Estève, Thierry Bazillon, Jean-Yves...
NOLISP
2007
Springer
13 years 11 months ago
Phase-Based Methods for Voice Source Analysis
Voice source analysis is an important but difficult issue for speech processing. In this talk, three aspects of voice source analysis recently developed at LIMSI (Orsay, France) a...
Christophe d'Alessandro, Baris Bozkurt, Boris Dova...