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Neural Greedy Constituent Parsing with Dynamic Oracles
Maximin Coavoux
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Benoît Crabbé
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
Two Local Models for Neural Constituent Parsing
Zhiyang Teng
|
Yue Zhang
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Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles
James Cross
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Liang Huang
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Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing
Daniel Fernández-González
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Carlos Gómez-Rodríguez
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Cross-lingual RST Discourse Parsing
Chloé Braud
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Maximin Coavoux
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Anders Søgaard
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Don’t Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers
Lauriane Aufrant
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Guillaume Wisniewski
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François Yvon
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Squib: Reproducibility in Computational Linguistics: Are We Willing to Share?
Martijn Wieling
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Josine Rawee
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Gertjan van Noord
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Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen
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Zhouhan Lin
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Athul Paul Jacob
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Alessandro Sordoni
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Aaron Courville
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Yoshua Bengio
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Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
Daniel Fried
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Dan Klein
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http://www.spmrl.org/spmrl2013-sharedtask.html
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Tagging
Approach
Structured Prediction
Discriminative Model
Language
Multilingual
Chinese
English
Korean
French
Arabic
Hebrew
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