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Improving Machine Reading Comprehension via Adversarial Training

Improving Machine Reading Comprehension via Adversarial Training

9 November 2019
Ziqing Yang
Yiming Cui
Wanxiang Che
Ting Liu
Shijin Wang
Guoping Hu
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Papers citing "Improving Machine Reading Comprehension via Adversarial Training"

32 / 32 papers shown
Title
SG-Net: Syntax-Guided Machine Reading Comprehension
SG-Net: Syntax-Guided Machine Reading Comprehension
Zhuosheng Zhang
Yuwei Wu
Junru Zhou
Sufeng Duan
Hai Zhao
Rui Wang
64
188
0
14 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
589
24,422
0
26 Jul 2019
SpanBERT: Improving Pre-training by Representing and Predicting Spans
SpanBERT: Improving Pre-training by Representing and Predicting Spans
Mandar Joshi
Danqi Chen
Yinhan Liu
Daniel S. Weld
Luke Zettlemoyer
Omer Levy
133
1,964
0
24 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
227
8,424
0
19 Jun 2019
Option Comparison Network for Multiple-choice Reading Comprehension
Option Comparison Network for Multiple-choice Reading Comprehension
Qiu Ran
Peng Li
Weiwei Hu
Jie Zhou
35
61
0
07 Mar 2019
Dual Co-Matching Network for Multi-choice Reading Comprehension
Dual Co-Matching Network for Multi-choice Reading Comprehension
Shuailiang Zhang
Zhao Hai
Yuwei Wu
Zhuosheng Zhang
Xi Zhou
Xiaoping Zhou
65
131
0
27 Jan 2019
U-Net: Machine Reading Comprehension with Unanswerable Questions
U-Net: Machine Reading Comprehension with Unanswerable Questions
Fu Sun
Linyang Li
Xipeng Qiu
Yang Liu
67
47
0
12 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
1.7K
94,729
0
11 Oct 2018
Stochastic Answer Networks for SQuAD 2.0
Stochastic Answer Networks for SQuAD 2.0
Xiaodong Liu
Wei Li
Yuwei Fang
Aerin Kim
Kevin Duh
Jianfeng Gao
RALM
33
23
0
24 Sep 2018
Explicit Utilization of General Knowledge in Machine Reading
  Comprehension
Explicit Utilization of General Knowledge in Machine Reading Comprehension
Chao Wang
Hui Jiang
52
4
0
10 Sep 2018
A3Net: Adversarial-and-Attention Network for Machine Reading
  Comprehension
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension
Jiuniu Wang
Xingyu Fu
Guangluan Xu
Yirong Wu
Ziyan Chen
Yang Wei
Li Jin
AIMat
38
2
0
03 Sep 2018
CoQA: A Conversational Question Answering Challenge
CoQA: A Conversational Question Answering Challenge
Siva Reddy
Danqi Chen
Christopher D. Manning
RALM
HAI
98
1,201
0
21 Aug 2018
Adversarial training for multi-context joint entity and relation
  extraction
Adversarial training for multi-context joint entity and relation extraction
Giannis Bekoulis
Johannes Deleu
T. Demeester
Chris Develder
GAN
63
176
0
21 Aug 2018
Know What You Don't Know: Unanswerable Questions for SQuAD
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
Robin Jia
Percy Liang
RALM
ELM
268
2,837
0
11 Jun 2018
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Motoki Sato
Jun Suzuki
Hiroyuki Shindo
Yuji Matsumoto
50
191
0
08 May 2018
Robust Machine Comprehension Models via Adversarial Training
Robust Machine Comprehension Models via Adversarial Training
Yicheng Wang
Joey Tianyi Zhou
AAML
68
117
0
17 Apr 2018
Simple and Effective Semi-Supervised Question Answering
Simple and Effective Semi-Supervised Question Answering
Bhuwan Dhingra
Danish Pruthi
Dheeraj Rajagopal
53
66
0
02 Apr 2018
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Michihiro Yasunaga
Jungo Kasai
Dragomir R. Radev
48
104
0
14 Nov 2017
DCN+: Mixed Objective and Deep Residual Coattention for Question
  Answering
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering
Caiming Xiong
Victor Zhong
R. Socher
63
109
0
31 Oct 2017
Adversarial Examples for Evaluating Reading Comprehension Systems
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia
Percy Liang
AAML
ELM
196
1,605
0
23 Jul 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
682
131,526
0
12 Jun 2017
RACE: Large-scale ReAding Comprehension Dataset From Examinations
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai
Qizhe Xie
Hanxiao Liu
Yiming Yang
Eduard H. Hovy
ELM
177
1,346
0
15 Apr 2017
Semi-Supervised QA with Generative Domain-Adaptive Nets
Semi-Supervised QA with Generative Domain-Adaptive Nets
Zhilin Yang
Junjie Hu
Ruslan Salakhutdinov
William W. Cohen
OOD
64
152
0
07 Feb 2017
Bidirectional Attention Flow for Machine Comprehension
Bidirectional Attention Flow for Machine Comprehension
Minjoon Seo
Aniruddha Kembhavi
Ali Farhadi
Hannaneh Hajishirzi
131
2,090
0
05 Nov 2016
Attention-over-Attention Neural Networks for Reading Comprehension
Attention-over-Attention Neural Networks for Reading Comprehension
Yiming Cui
Zhongfu Chen
Si Wei
Shijin Wang
Ting Liu
Guoping Hu
AIMat
66
439
0
15 Jul 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
266
8,127
0
16 Jun 2016
Adversarial Training Methods for Semi-Supervised Text Classification
Adversarial Training Methods for Semi-Supervised Text Classification
Takeru Miyato
Andrew M. Dai
Ian Goodfellow
GAN
75
1,059
0
25 May 2016
Text Understanding with the Attention Sum Reader Network
Text Understanding with the Attention Sum Reader Network
Rudolf Kadlec
Martin Schmid
Ondrej Bajgar
Jan Kleindienst
AIMat
RALM
68
314
0
04 Mar 2016
The Goldilocks Principle: Reading Children's Books with Explicit Memory
  Representations
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
Felix Hill
Antoine Bordes
S. Chopra
Jason Weston
RALM
102
636
0
07 Nov 2015
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
339
3,547
0
10 Jun 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
271
19,045
0
20 Dec 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
268
14,912
1
21 Dec 2013
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