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» Deep belief nets for natural language call-routing
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ICASSP
2011
IEEE
12 years 8 months ago
Deep belief nets for natural language call-routing
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabha...
JMLR
2010
169views more  JMLR 2010»
12 years 11 months ago
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
Deep belief nets have been successful in modeling handwritten characters, but it has proved more difficult to apply them to real images. The problem lies in the restricted Boltzma...
Marc'Aurelio Ranzato, Alex Krizhevsky, Geoffrey E....
NLPRS
2001
Springer
13 years 9 months ago
Collaborative Translation Environment 'Yakushite.Net'
We demonstrate a web-based machine translation environment that can be improved in terms of accuracy and scope through online collaboration by users. The environment leverages the...
Tatsuya Sukehiro, Mihoko Kitamura, Toshiki Murata
CICLING
2008
Springer
13 years 6 months ago
Deep Lexical Semantics
In the project we describe, we have taken a basic core of about 5000 synsets in WordNet that are the most frequently used, and we have categorized these into sixteen broad categori...
Jerry R. Hobbs
JMLR
2010
106views more  JMLR 2010»
12 years 11 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...