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Using Self-Trained Bilexical Preferences to Improve Disambiguation Accuracy
Gertjan van Noord
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Paper Details:
Month: June
Year: 2007
Location: Prague, Czech Republic
Venue:
IWPT |
WS |
SIG: SIGPARSE
Citations
URL
Improving Dependency Parsing with Subtrees from Auto-Parsed Data
Wenliang Chen
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Jun’ichi Kazama
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Kiyotaka Uchimoto
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Kentaro Torisawa
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Semi-supervised Dependency Parsing using Bilexical Contextual Features from Auto-Parsed Data
Eliyahu Kiperwasser
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Yoav Goldberg
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Structural Correspondence Learning for Parse Disambiguation
Barbara Plank
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PP Attachment: Where do We Stand?
Daniël de Kok
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Jianqiang Ma
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Corina Dima
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Erhard Hinrichs
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Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
Daisuke Kawahara
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Kiyotaka Uchimoto
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Parser lexicalisation through self-learning
Marek Rei
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Ted Briscoe
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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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Grammar-Driven versus Data-Driven: Which Parsing System Is More Affected by Domain Shifts?
Barbara Plank
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Gertjan van Noord
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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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Domain Adaptation of a Dependency Parser with a Class-Class Selectional Preference Model
Raphael Cohen
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Yoav Goldberg
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Michael Elhadad
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http://taalunieversum.org/taal/technologie/stevin/
http://www.let.rug.nl/vannoord
Field Of Study
Language
Japanese
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