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Dynamic Feature Selection for Dependency Parsing
He He
|
Hal Daumé III
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Jason Eisner
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Automatic Feature Selection for Agenda-Based Dependency Parsing
Miguel Ballesteros
|
Bernd Bohnet
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Boosting for Efficient Model Selection for Syntactic Parsing
Rachel Bawden
|
Benoît Crabbé
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Imitation learning for language generation from unaligned data
Gerasimos Lampouras
|
Andreas Vlachos
|
A Fast and Accurate Dependency Parser using Neural Networks
Danqi Chen
|
Christopher Manning
|
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning
Isabelle Augenstein
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Andreas Vlachos
|
Diana Maynard
|
Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks
Xinchi Chen
|
Yaqian Zhou
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Chenxi Zhu
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Xipeng Qiu
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Xuanjing Huang
|
Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity
Tim Vieira
|
Ryan Cotterell
|
Jason Eisner
|
Syntactic Scaffolds for Semantic Structures
Swabha Swayamdipta
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Sam Thomson
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Kenton Lee
|
Luke Zettlemoyer
|
Chris Dyer
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Noah A. Smith
|
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
Swabha Swayamdipta
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Miguel Ballesteros
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Chris Dyer
|
Noah A. Smith
|
Enforcing Structural Diversity in Cube-pruned Dependency Parsing
Hao Zhang
|
Ryan McDonald
|
Learning Dynamic Feature Selection for Fast Sequential Prediction
Emma Strubell
|
Luke Vilnis
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Kate Silverstein
|
Andrew McCallum
|
Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing
James Goodman
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Andreas Vlachos
|
Jason Naradowsky
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Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
Tim Vieira
|
Jason Eisner
|
Application-Driven Relation Extraction with Limited Distant Supervision
Andreas Vlachos
|
Stephen Clark
|
http://www.seas.upenn.edu/
Field Of Study
Task
Tagging
Approach
Structured Prediction
Language
Multilingual
Chinese
English
Japanese
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