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» A Bayesian Model for Unsupervised Semantic Parsing
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ACL
2011
12 years 8 months ago
A Bayesian Model for Unsupervised Semantic Parsing
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
Ivan Titov, Alexandre Klementiev
ACL
2012
11 years 7 months ago
Semantic Parsing with Bayesian Tree Transducers
Many semantic parsing models use tree transformations to map between natural language and meaning representation. However, while tree transformations are central to several state-...
Bevan K. Jones, Mark Johnson, Sharon Goldwater
ACL
2008
13 years 6 months ago
Bayesian Learning of Non-Compositional Phrases with Synchronous Parsing
We combine the strengths of Bayesian modeling and synchronous grammar in unsupervised learning of basic translation phrase pairs. The structured space of a synchronous grammar is ...
Hao Zhang, Chris Quirk, Robert C. Moore, Daniel Gi...
JMLR
2011
105views more  JMLR 2011»
12 years 12 months ago
Posterior Sparsity in Unsupervised Dependency Parsing
A strong inductive bias is essential in unsupervised grammar induction. In this paper, we explore a particular sparsity bias in dependency grammars that encourages a small number ...
Jennifer Gillenwater, Kuzman Ganchev, João ...
ACL
2010
13 years 3 months ago
Fully Unsupervised Core-Adjunct Argument Classification
The core-adjunct argument distinction is a basic one in the theory of argument structure. The task of distinguishing between the two has strong relations to various basic NLP task...
Omri Abend, Ari Rappoport