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Universal Dependency Parsing from Scratch

Universal Dependency Parsing from Scratch

29 January 2019
Peng Qi
Timothy Dozat
Yuhao Zhang
Christopher D. Manning
ArXiv (abs)PDFHTML

Papers citing "Universal Dependency Parsing from Scratch"

14 / 14 papers shown
Title
On the Convergence of Adam and Beyond
On the Convergence of Adam and Beyond
Sashank J. Reddi
Satyen Kale
Surinder Kumar
96
2,499
0
19 Apr 2019
Graph Convolution over Pruned Dependency Trees Improves Relation
  Extraction
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Yuhao Zhang
Peng Qi
Christopher D. Manning
GNN
128
728
0
26 Sep 2018
Towards Better UD Parsing: Deep Contextualized Word Embeddings,
  Ensemble, and Treebank Concatenation
Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation
Wanxiang Che
Yijia Liu
Yuxuan Wang
Bo Zheng
Ting Liu
72
252
0
09 Jul 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
214
11,556
0
15 Feb 2018
Improved Neural Machine Translation with a Syntax-Aware Encoder and
  Decoder
Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder
Huadong Chen
Shujian Huang
David Chiang
Jiajun Chen
49
148
0
18 Jul 2017
Encoding Sentences with Graph Convolutional Networks for Semantic Role
  Labeling
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
Ivan Titov
GNNNAI
80
832
0
14 Mar 2017
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAISSLVLM
229
9,972
0
15 Jul 2016
Multiresolution Recurrent Neural Networks: An Application to Dialogue
  Response Generation
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
Iulian Serban
Tim Klinger
Gerald Tesauro
Kartik Talamadupula
Bowen Zhou
Yoshua Bengio
Aaron Courville
64
190
0
02 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
824
9,318
0
06 Jun 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
181
1,771
0
03 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
560
27,311
0
01 Sep 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
397
33,550
0
16 Oct 2013
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