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LREC
2010
216views Education» more  LREC 2010»
13 years 9 months ago
Automatic Grammar Rule Extraction and Ranking for Definitions
Learning texts contain much implicit knowledge which is ideally presented to the learner in a structured manner - a typical example being definitions of terms in the text, which w...
Claudia Borg, Mike Rosner, Gordon J. Pace
LLC
2011
167views more  LLC 2011»
13 years 2 months ago
Computational Phonology - Part II: Grammars, Learning, and the Future
Computational phonology studies sound patterns in the world’s languages from a computational perspective. This article shows that the similarities between different generative t...
Jeffrey Heinz
BDA
2006
13 years 9 months ago
Integrating Correction into Incremental Validation
Many data on the Web are XML documents. An XML document is an unranked labelled tree. A schema for XML documents (for instance a DTD) is the specification of their internal structu...
Béatrice Bouchou, Ahmed Cheriat, Mirian Hal...
JMLR
2010
143views more  JMLR 2010»
13 years 2 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
PPSN
2004
Springer
14 years 1 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong