25 search results - page 1 / 5 » Variational Inference for Grammar Induction with Prior Knowl... |
ACL
2009
13 years 2 months ago
2009
Variational EM has become a popular technique in probabilistic NLP with hidden variables. Commonly, for computational tractability, we make strong independence assumptions, such a...
NAACL
2010
13 years 2 months ago
2010
Adaptor grammars extend probabilistic context-free grammars to define prior distributions over trees with "rich get richer" dynamics. Inference for adaptor grammars seek...
NIPS
2008
13 years 6 months ago
2008
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...
ICTAI
2006
IEEE
13 years 11 months ago
2006
IEEE
Computer programs that can be expressed in two or more dimensions are typically called visual programs. The underlying theories of visual programming languages involve graph gramm...
ACL
2006
13 years 6 months ago
2006
We investigate prototype-driven learning for primarily unsupervised grammar induction. Prior knowledge is specified declaratively, by providing a few canonical examples of each ta...