Scalable Discriminative Learning for Natural Language Parsing and Translation (2006)

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by Joseph Turian , Benjamin Wellington , I. Dan Melamed
Venue:In Proceedings of the 2006 Neural Information Processing Systems (NIPS
Citations:20 - 1 self

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11 Advances in discriminative parsing – Joseph Turian, I. Dan Melamed - 2006
7 Scalable purelydiscriminative training for word and tree transducers – Benjamin Wellington, Joseph Turian, Chris Pike, I. Dan Melamed - 2006
Computational Challenges in Parsing by Classification – unknown authors
52 A survey of statistical machine translation – Adam Lopez - 2007
3 MACHINE TRANSLATION BY PATTERN MATCHING – Adam David Lopez - 2008
14 Constituent Parsing by Classification – Joseph Turian, I. Dan Melamed - 2005
11 Coarse-to-Fine Natural Language Processing – Slav Orlinov Petrov - 2009
U N I V E R – Michael Auli - 2009
9 Learning for semantic parsing using statistical machine translation techniques – Yuk Wah Wong - 2005
11 Discriminative Learning and Spanning Tree Algorithms for Dependency Parsing – Ryan McDonald - 2006
A Search in the Forest: Efficient Algorithms for Parsing and Machine Translation based on Packed Forests – Liang Huang
2 Forest-Based Algorithms in Natural Language Processing – Liang Huang - 2008
2 Lexical Syntax for Statistical Machine Translation – Hany Hassan - 2009
Using Linguistic Knowledge in Statistical Machine Translation – Rabih M. Zbib, James R. Glass - 2010
13 A discriminative model for tree-to-tree translation – Brooke Cowan, Michael Collins - 2006
2 Incremental sigmoid belief networks for grammar learning – James Henderson, Ivan Titov, Mark Johnson - 2010
7 Training Parsers by Inverse Reinforcement Learning – Gergely Neu, Csaba Szepesvári - 2009
27 Novel Estimation Methods for Unsupervised Discovery of Latent Structure in Natural Language Text – Noah Ashton Smith - 2006
Stacking Heterogeneous Joint Models of Chinese POS Tagging and Dependency Parsing – M Zhang, Wanxiang Che, T Liu, Zhenghua Li