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» A Structured Context Model for Grammar Learning
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ACL
2008
13 years 6 months ago
Using Adaptor Grammars to Identify Synergies in the Unsupervised Acquisition of Linguistic Structure
Adaptor grammars (Johnson et al., 2007b) are a non-parametric Bayesian extension of Probabilistic Context-Free Grammars (PCFGs) which in effect learn the probabilities of entire s...
Mark Johnson
IJCNN
2006
IEEE
13 years 11 months ago
A Structured Context Model for Grammar Learning
—We present a structured model of context that supports an integrated approach to language acquisition and use. The model extends an existing formal notation, Embodied Constructi...
Nancy Chang, Eva Mok
BIOCOMP
2006
13 years 6 months ago
The Use of Context-Sensitive Grammar For Modeling RNA Pseudoknots
- In this study, a context-sensitive grammar is suggested to model various forms of RNA secondary structures, especially pseudoknots. Comparing with a conventional context-free gra...
Keum-Young Sung
JMLR
2010
192views more  JMLR 2010»
13 years 4 days ago
Inducing Tree-Substitution Grammars
Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...
Trevor Cohn, Phil Blunsom, Sharon Goldwater
ACL
2010
13 years 3 months ago
PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names
This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...
Mark Johnson