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Automatic Feature Selection for Agenda-Based Dependency Parsing
Miguel Ballesteros
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Bernd Bohnet
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Paper Details:
Month: August
Year: 2014
Location: Dublin, Ireland
Venue:
COLING |
Citations
URL
Boosting for Efficient Model Selection for Syntactic Parsing
Rachel Bawden
|
Benoît Crabbé
|
Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks
Xinchi Chen
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Yaqian Zhou
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Chenxi Zhu
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Xipeng Qiu
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Xuanjing Huang
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Greedy Transition-Based Dependency Parsing with Stack LSTMs
Miguel Ballesteros
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Chris Dyer
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Yoav Goldberg
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Noah A. Smith
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Transition-based Spinal Parsing
Miguel Ballesteros
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Xavier Carreras
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Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl
Alexander Panchenko
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Eugen Ruppert
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Stefano Faralli
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Simone P. Ponzetto
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Chris Biemann
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Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Chris Dyer
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Miguel Ballesteros
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Wang Ling
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Austin Matthews
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Noah A. Smith
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Feature Optimization for Constituent Parsing via Neural Networks
Zhiguo Wang
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Haitao Mi
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Nianwen Xue
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http://creativecommons.org/licenses/by/4.0/
http://www.maltparser.org/userguide.html
http://maltparser.org
https://code.google.com/p/
https://code.google.com/p/mate-tools/wiki/ParserAndModels
Field Of Study