Generative and Discriminative Latent Variable Grammars
published: March 26, 2010, recorded: December 2009, views: 4296
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Latent variable grammars take an observed (coarse) treebank and induce more fine-grained grammar categories, that are better suited for modeling the syntax of natural languages. Estimation can be done in a generative or a discriminative framework, and results in the best published parsing accuracies over a wide range of syntactically divergent languages and domains. In this paper we highlight the commonalities and the differences between the two learning paradigms and speculate that a hybrid approach might outperform either respectively.
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