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ACL
2009

Bayesian Learning of a Tree Substitution Grammar

10 years 9 months ago
Bayesian Learning of a Tree Substitution Grammar
Tree substitution grammars (TSGs) offer many advantages over context-free grammars (CFGs), but are hard to learn. Past approaches have resorted to heuristics. In this paper, we learn a TSG using Gibbs sampling with a nonparametric prior to control subtree size. The learned grammars perform significantly better than heuristically extracted ones on parsing accuracy.
Matt Post, Daniel Gildea
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Where ACL
Authors Matt Post, Daniel Gildea
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