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Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training
Majid Yazdani
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James Henderson
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
Sequence-to-Sequence Learning as Beam-Search Optimization
Sam Wiseman
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Alexander M. Rush
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Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser
Adhiguna Kuncoro
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Miguel Ballesteros
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Lingpeng Kong
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Chris Dyer
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Noah A. Smith
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Training with Exploration Improves a Greedy Stack LSTM Parser
Miguel Ballesteros
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Yoav Goldberg
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Chris Dyer
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Noah A. Smith
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Transition-Based Dependency Parsing with Heuristic Backtracking
Jacob Buckman
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Miguel Ballesteros
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Chris Dyer
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Globally Normalized Transition-Based Neural Networks
Daniel Andor
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Chris Alberti
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David Weiss
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Aliaksei Severyn
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Alessandro Presta
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Kuzman Ganchev
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Slav Petrov
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Michael Collins
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Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States
Ashish Vaswani
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Kenji Sagae
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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Task
Language Understanding
Language Generation
Approach
Deep Learning
Generative Model
Discriminative Model
Language
Multilingual
English
Spanish
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