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» Decomposable Modeling in Natural Language Processing
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EMNLP
2008
14 years 11 months ago
Latent-Variable Modeling of String Transductions with Finite-State Methods
String-to-string transduction is a central problem in computational linguistics and natural language processing. It occurs in tasks as diverse as name transliteration, spelling co...
Markus Dreyer, Jason Smith, Jason Eisner
CSJM
2006
124views more  CSJM 2006»
14 years 10 months ago
Text Classification Using Word-Based PPM Models
Text classification is one of the most actual among the natural language processing problems. In this paper the application of word-based PPM (Prediction by Partial Matching) mode...
Victoria Bobicev
FDL
2005
IEEE
15 years 3 months ago
Synthesis for Unified Control- and Data-Oriented Models
In the Software/Hardware Engineering model-driven design methodology, preservation of real-time system properties can be guaranteed in the model synthesis up to a small time-deviat...
Oana Florescu, Jeroen Voeten, Henk Corporaal
IJON
2007
83views more  IJON 2007»
14 years 9 months ago
Neurospaces: Towards automated model partitioning for parallel computers
Parallel computers have the computing power needed to simulate biologically accurate neuronal network models. Partitioning is the process of cutting a model in pieces and assignin...
Hugo Cornelis, Erik De Schutter
JMLR
2010
128views more  JMLR 2010»
14 years 8 months ago
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models
Maximum entropy (Maxent) is useful in natural language processing and many other areas. Iterative scaling (IS) methods are one of the most popular approaches to solve Maxent. With...
Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih...