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Syntax-Infused Transformer and BERT models for Machine Translation and
  Natural Language Understanding

Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding

10 November 2019
Dhanasekar Sundararaman
Vivek Subramanian
Guoyin Wang
Shijing Si
Dinghan Shen
Dong Wang
Lawrence Carin
ArXivPDFHTML

Papers citing "Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding"

16 / 16 papers shown
Title
Improving Deep Transformer with Depth-Scaled Initialization and Merged
  Attention
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
Biao Zhang
Ivan Titov
Rico Sennrich
55
103
0
29 Aug 2019
Multi-Head Attention with Disagreement Regularization
Multi-Head Attention with Disagreement Regularization
Jian Li
Zhaopeng Tu
Baosong Yang
Michael R. Lyu
Tong Zhang
66
146
0
24 Oct 2018
Modeling Localness for Self-Attention Networks
Modeling Localness for Self-Attention Networks
Baosong Yang
Zhaopeng Tu
Derek F. Wong
Fandong Meng
Lidia S. Chao
Tong Zhang
MILM
60
177
0
24 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.5K
94,511
0
11 Oct 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
904
7,141
0
20 Apr 2018
Self-Attention with Relative Position Representations
Self-Attention with Relative Position Representations
Peter Shaw
Jakob Uszkoreit
Ashish Vaswani
154
2,285
0
06 Mar 2018
Distance-based Self-Attention Network for Natural Language Inference
Distance-based Self-Attention Network for Natural Language Inference
Jinbae Im
Sungzoon Cho
70
76
0
06 Dec 2017
Exploiting Linguistic Resources for Neural Machine Translation Using
  Multi-task Learning
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning
Jan Niehues
Eunah Cho
44
115
0
03 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
636
130,942
0
12 Jun 2017
Modeling Source Syntax for Neural Machine Translation
Modeling Source Syntax for Neural Machine Translation
Junhui Li
Deyi Xiong
Zhaopeng Tu
Muhua Zhu
Min Zhang
Guodong Zhou
57
146
0
02 May 2017
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Jasmijn Bastings
Ivan Titov
Wilker Aziz
Diego Marcheggiani
K. Simaán
GNN
87
492
0
15 Apr 2017
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Tal Linzen
Emmanuel Dupoux
Yoav Goldberg
99
903
0
04 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
579
28,999
0
09 Sep 2016
Linguistic Input Features Improve Neural Machine Translation
Linguistic Input Features Improve Neural Machine Translation
Rico Sennrich
Barry Haddow
AI4CE
71
380
0
09 Jun 2016
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
195
7,729
0
31 Aug 2015
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
356
7,955
0
17 Aug 2015
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