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Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set
Tianze Shi
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Liang Huang
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Lillian Lee
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
Two Local Models for Neural Constituent Parsing
Zhiyang Teng
|
Yue Zhang
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Valency-Augmented Dependency Parsing
Tianze Shi
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Lillian Lee
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Better Transition-Based AMR Parsing with a Refined Search Space
Zhijiang Guo
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Wei Lu
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Dependency-based Hybrid Trees for Semantic Parsing
Zhanming Jie
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Wei Lu
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PoSTWITA-UD: an Italian Twitter Treebank in Universal Dependencies
Manuela Sanguinetti
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Cristina Bosco
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Alberto Lavelli
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Alessandro Mazzei
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Oronzo Antonelli
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Fabio Tamburini
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Scene Graph Parsing as Dependency Parsing
Yu-Siang Wang
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Chenxi Liu
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Xiaohui Zeng
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Alan Yuille
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Improving Coverage and Runtime Complexity for Exact Inference in Non-Projective Transition-Based Dependency Parsers
Tianze Shi
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Carlos Gómez-Rodríguez
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Lillian Lee
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Global Transition-based Non-projective Dependency Parsing
Carlos Gómez-Rodríguez
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Tianze Shi
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Lillian Lee
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Linear-time Constituency Parsing with RNNs and Dynamic Programming
Juneki Hong
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Liang Huang
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Transition-based Parsing with Lighter Feed-Forward Networks
David Vilares
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Carlos Gómez-Rodríguez
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https://github.com/tzshi/dp-parser-emnlp17
Field Of Study
Linguistic Trends
Embeddings
Language
Chinese
English
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