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Graph-based Dependency Parsing with Bidirectional LSTM
Wenhui Wang
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Baobao Chang
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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
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Yue Zhang
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Seq2seq Dependency Parsing
Zuchao Li
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Jiaxun Cai
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Shexia He
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Hai Zhao
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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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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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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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Neural Sequence Learning Models for Word Sense Disambiguation
Alessandro Raganato
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Claudio Delli Bovi
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Roberto Navigli
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Learning Contextually Informed Representations for Linear-Time Discourse Parsing
Yang Liu
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Mirella Lapata
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End-to-End Neural Relation Extraction with Global Optimization
Meishan Zhang
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Yue Zhang
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Guohong Fu
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Transition-Based Disfluency Detection using LSTMs
Shaolei Wang
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Wanxiang Che
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Yue Zhang
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Meishan Zhang
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Ting Liu
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A Span Selection Model for Semantic Role Labeling
Hiroki Ouchi
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Hiroyuki Shindo
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Yuji Matsumoto
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Extracting Entities and Relations with Joint Minimum Risk Training
Changzhi Sun
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Yuanbin Wu
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Man Lan
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Shiliang Sun
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Wenting Wang
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Kuang-Chih Lee
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Kewen Wu
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Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data
Wenhui Wang
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Baobao Chang
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Mairgup Mansur
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Neural Probabilistic Model for Non-projective MST Parsing
Xuezhe Ma
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Eduard Hovy
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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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A Transition-based System for Universal Dependency Parsing
Hao Wang
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Hai Zhao
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Zhisong Zhang
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What’s Going On in Neural Constituency Parsers? An Analysis
David Gaddy
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Mitchell Stern
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Dan Klein
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A Minimal Span-Based Neural Constituency Parser
Mitchell Stern
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Jacob Andreas
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Dan Klein
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Deep Multitask Learning for Semantic Dependency Parsing
Hao Peng
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Sam Thomson
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Noah A. Smith
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Chunk-Based Bi-Scale Decoder for Neural Machine Translation
Hao Zhou
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Zhaopeng Tu
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Shujian Huang
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Xiaohua Liu
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Hang Li
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Jiajun Chen
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Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
Shuming Ma
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Xu Sun
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Jingjing Xu
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Houfeng Wang
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Wenjie Li
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Qi Su
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Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples
Vidur Joshi
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Matthew Peters
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Mark Hopkins
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Stack-Pointer Networks for Dependency Parsing
Xuezhe Ma
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Zecong Hu
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Jingzhou Liu
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Nanyun Peng
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Graham Neubig
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Eduard Hovy
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Word Sense Disambiguation with Recurrent Neural Networks
Alexander Popov
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http://stp.lingfil.uu.se/nivre/
http://nlp.stanford.edu/software/
http://sourceforge.net/projects/
https://github.com/Williammed/
Field Of Study
Linguistic Trends
Embeddings
Task
Information Extraction
Language
Chinese
English
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