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Estimation of Stochastic Attribute-Value Grammars using an Informative Sample
Miles Osborne
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Paper Details:
Year: 2000
Venue:
COLING |
Citations
URL
A Novel Disambiguation Method for Unification-Based Grammars Using Probabilistic Context-Free Approximations
Bernd Kiefer
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Hans-Ulrich Krieger
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Detlef Prescher
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Improved Iterative Scaling Can Yield Multiple Globally Optimal Models with Radically Differing Performance Levels
Iain Bancarz
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Miles Osborne
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The Importance of Supertagging for Wide-Coverage CCG Parsing
Stephen Clark
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James R. Curran
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Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
Stephen Clark
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James R. Curran
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Probabilistic Disambiguation Models for Wide-Coverage HPSG Parsing
Yusuke Miyao
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Jun’ichi Tsujii
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Reversible Stochastic Attribute-Value Grammars
Daniël de Kok
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Barbara Plank
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Gertjan van Noord
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Overfitting Avoidance for Stochastic Modeling of Attribute-Value Grammars
Tony Mullen
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Miles Osborne
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Incorporating Linguistics Constraints into Inductive Logic Programming
James Cussens
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Stephen Pulman
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Learning Computational Grammars
John Nerbonne
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Anja Belz
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Nicola Cancedda
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Hervé Déjean
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James Hammerton
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Rob Koeling
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Stasinos Konstantopoulos
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Miles Osborne
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Franck Thollard
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Erik F. Tjong Kim Sang
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Active learning for HPSG parse selection
Jason Baldridge
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Miles Osborne
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Log-Linear Models for Wide-Coverage CCG Parsing
Stephen Clark
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James Curran
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Partial Parse Selection for Robust Deep Processing
Yi Zhang
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Valia Kordoni
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Erin Fitzgerald
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A Comparison of Structural Correspondence Learning and Self-training for Discriminative Parse Selection
Barbara Plank
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Feature Selection for Fluency Ranking
Daniël de Kok
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Discriminative features in reversible stochastic attribute-value grammars
Daniël de Kok
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No URLs Found
Field Of Study
Language
English
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