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NAACL
2010
10 years 11 months ago
Variational Inference for Adaptor Grammars
Adaptor grammars extend probabilistic context-free grammars to define prior distributions over trees with "rich get richer" dynamics. Inference for adaptor grammars seek...
Shay B. Cohen, David M. Blei, Noah A. Smith
ACL
1998
11 years 2 months ago
Conditions on Consistency of Probabilistic Tree Adjoining Grammars
Much of the power of probabilistic methods in modelling language comes from their ability to compare several derivations for the same string in the language. An important starting...
Anoop Sarkar
ACL
1998
11 years 2 months ago
An Empirical Evaluation of Probabilistic Lexicalized Tree Insertion Grammars
We present an empirical study of the applicability of Probabilistic Lexicalized Tree Insertion Grammars (PLTIG), a lexicalized counterpart to Probabilistic Context-Free Grammars (...
Rebecca Hwa
EMNLP
2004
11 years 2 months ago
Bilingual Parsing with Factored Estimation: Using English to Parse Korean
We describe how simple, commonly understood statistical models, such as statistical dependency parsers, probabilistic context-free grammars, and word-to-word translation models, c...
David A. Smith, Noah A. Smith
NIPS
2008
11 years 2 months ago
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
Shay B. Cohen, Kevin Gimpel, Noah A. Smith
ACL
2008
11 years 2 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
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