Discriminative log-linear grammars with latent variables (2008)

by Slav Petrov , Dan Klein
Venue:In Proceedings of NIPS 20
Citations:38 - 6 self

Active Bibliography

11 Coarse-to-Fine Natural Language Processing – Slav Orlinov Petrov - 2009
14 Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing – Slav Petrov, Dan Klein
Basic Concepts and Terminology........................................ – unknown authors
27 Novel Estimation Methods for Unsupervised Discovery of Latent Structure in Natural Language Text – Noah Ashton Smith - 2006
2 Incremental sigmoid belief networks for grammar learning – James Henderson, Ivan Titov, Mark Johnson - 2010
1 Advances in Discriminative Dependency Parsing – Terry Koo, Michael Collins, Terry Koo - 2010
24 Probabilistic models of nonprojective dependency trees – David A. Smith - 2007
Generative and Discriminative Latent Variable Grammars – Slav Petrov
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs – Dan Klein
2 Forest-Based Algorithms in Natural Language Processing – Liang Huang - 2008
2 Parsing with Compositional Vector Grammars – Richard Socher, John Bauer, Christopher D. Manning, Andrew Y. Ng
6 2006. Loss minimization in parse reranking – Ivan Titov
The Effect of Higher-Order Dependency Features in Discriminative Phrase-Structure Parsing – Mark Steedman
25 Guiding unsupervised grammar induction using contrastive estimation – Noah A. Smith, Jason Eisner - 2005
Chapter? of The Handbook of Applied Bayesian Analysis – Percy Liang, Michael I. Jordan, Dan Klein, Tony O’hagan, Mike West - 2009
To appear in: The Handbook of Applied Bayesian Analysis – Percy Liang, Michael I. Jordan, Dan Klein, Tony O’hagan, Mike West - 2009
11 Products of Random Latent Variable Grammars – Slav Petrov
7 Training Parsers by Inverse Reinforcement Learning – Gergely Neu, Csaba Szepesvári - 2009
A Search in the Forest: Efficient Algorithms for Parsing and Machine Translation based on Packed Forests – Liang Huang