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» Language-Derived Information and Context Models
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KES
2007
Springer
15 years 10 months ago
Predictive and Contextual Feature Separation for Bayesian Metanetworks
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Vagan Y. Terziyan
COLING
2008
15 years 6 months ago
Choosing the Right Translation: A Syntactically Informed Classification Approach
One style of Multi-Engine Machine Translation architecture involves choosing the best of a set of outputs from different systems. Choosing the best translation from an arbitrary s...
Simon Zwarts, Mark Dras
CCGRID
2003
IEEE
15 years 10 months ago
An Ontology for Scientific Information in a Grid Environment: the Earth System Grid
In the emerging world of Grid Computing, shared computational, data, other distributed resources are becoming available to enable scientific advancement through collaborative rese...
Line Pouchard, Luca Cinquini, Bob Drach, Don Middl...
ACL
2011
14 years 8 months ago
Temporal Restricted Boltzmann Machines for Dependency Parsing
We propose a generative model based on Temporal Restricted Boltzmann Machines for transition based dependency parsing. The parse tree is built incrementally using a shiftreduce pa...
Nikhil Garg, James Henderson
ACL
2001
15 years 6 months ago
Improvement of a Whole Sentence Maximum Entropy Language Model Using Grammatical Features
In this paper, we propose adding long-term grammatical information in a Whole Sentence Maximun Entropy Language Model (WSME) in order to improve the performance of the model. The ...
Fredy A. Amaya, José-Miguel Benedí