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Efficient Stacked Dependency Parsing by Forest Reranking
Katsuhiko Hayashi
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Shuhei Kondo
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Yuji Matsumoto
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Paper Details:
Year: 2013
Venue:
TACL |
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Yearly Citation Distribution
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Citations
URL
The Inside-Outside Recursive Neural Network model for Dependency Parsing
Phong Le
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Willem Zuidema
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Unsupervised Dependency Parsing: Let’s Use Supervised Parsers
Phong Le
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Willem Zuidema
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A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network
Chenxi Zhu
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Xipeng Qiu
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Xinchi Chen
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Xuanjing Huang
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A Search-Based Dynamic Reranking Model for Dependency Parsing
Hao Zhou
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Yue Zhang
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Shujian Huang
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Junsheng Zhou
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Xin-Yu Dai
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Jiajun Chen
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Improving Neural Parsing by Disentangling Model Combination and Reranking Effects
Daniel Fried
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Mitchell Stern
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Dan Klein
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Enhancing the Inside-Outside Recursive Neural Network Reranker for Dependency Parsing
Phong Le
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http://www.seas.upenn.edu/
http://nlp.stanford.edu/software/
Field Of Study
Task
Tagging
Approach
Discriminative Model
Language
Chinese
English
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