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Joint POS Tagging and Transition-based Constituent Parsing in Chinese with Non-local Features
Zhiguo Wang
|
Nianwen Xue
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
Two Local Models for Neural Constituent Parsing
Zhiyang Teng
|
Yue Zhang
|
Neural Ranking Models for Temporal Dependency Structure Parsing
Yuchen Zhang
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Nianwen Xue
|
CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing
Nianwen Xue
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Hwee Tou Ng
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Sameer Pradhan
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Attapol Rutherford
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Bonnie Webber
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Chuan Wang
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Hongmin Wang
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A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing
Dat Quoc Nguyen
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Mark Dras
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Mark Johnson
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Shift-Reduce Constituency Parsing with Dynamic Programming and POS Tag Lattice
Haitao Mi
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Liang Huang
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Recurrent Neural Network Grammars
Chris Dyer
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Adhiguna Kuncoro
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Miguel Ballesteros
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Noah A. Smith
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Transition-Based Chinese AMR Parsing
Chuan Wang
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Bin Li
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Nianwen Xue
|
Feature Optimization for Constituent Parsing via Neural Networks
Zhiguo Wang
|
Haitao Mi
|
Nianwen Xue
|
Transition-based Neural Constituent Parsing
Taro Watanabe
|
Eiichiro Sumita
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Optimal Shift-Reduce Constituent Parsing with Structured Perceptron
Le Quang Thang
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Hiroshi Noji
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Yusuke Miyao
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Stack-propagation: Improved Representation Learning for Syntax
Yuan Zhang
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David Weiss
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Incremental Parsing with Minimal Features Using Bi-Directional LSTM
James Cross
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Liang Huang
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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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Shift-Reduce Constituent Parsing with Neural Lookahead Features
Jiangming Liu
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Yue Zhang
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In-Order Transition-based Constituent Parsing
Jiangming Liu
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Yue Zhang
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Non-Deterministic Segmentation for Chinese Lattice Parsing
Hai Hu
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Daniel Dakota
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Sandra Kübler
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Detecting Syntactic Features of Translated Chinese
Hai Hu
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Wen Li
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Sandra Kübler
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http://nlp.cs.nyu.edu/evalb/
http://nlp.stanford.edu/downloads/tagger.shtml
http://code.google.com/p/berkeley-parser-analyser/
Field Of Study
Task
Tagging
Word Segmentation
Language
Multilingual
Chinese
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