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To Answer or Not to Answer? Improving Machine Reading Comprehension
  Model with Span-based Contrastive Learning

To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning

2 August 2022
Yunjie Ji
Liangyu Chen
Chenxiao Dou
Baochang Ma
Xiangang Li
ArXiv (abs)PDFHTML

Papers citing "To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning"

50 / 50 papers shown
Title
Paradigm Shift in Natural Language Processing
Paradigm Shift in Natural Language Processing
Tianxiang Sun
Xiangyang Liu
Xipeng Qiu
Xuanjing Huang
168
82
0
26 Sep 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural
  Language Understanding
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Dong Wang
Ning Ding
Pijian Li
Haitao Zheng
AAML
59
117
0
01 Jul 2021
A Unified Generative Framework for Various NER Subtasks
A Unified Generative Framework for Various NER Subtasks
Hang Yan
Tao Gui
Junqi Dai
Qipeng Guo
Zheng Zhang
Xipeng Qiu
76
296
0
02 Jun 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence
  Representation Transfer
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
Yuanmeng Yan
Rumei Li
Sirui Wang
Fuzheng Zhang
Wei Wu
Weiran Xu
SSL
121
559
0
25 May 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao
Xingcheng Yao
Danqi Chen
AILawSSL
276
3,407
0
18 Apr 2021
Switch Transformers: Scaling to Trillion Parameter Models with Simple
  and Efficient Sparsity
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
W. Fedus
Barret Zoph
Noam M. Shazeer
MoE
88
2,208
0
11 Jan 2021
CLEAR: Contrastive Learning for Sentence Representation
CLEAR: Contrastive Learning for Sentence Representation
Zhuofeng Wu
Sinong Wang
Jiatao Gu
Madian Khabsa
Fei Sun
Hao Ma
SSL
71
323
0
31 Dec 2020
Supervised Contrastive Learning for Pre-trained Language Model
  Fine-tuning
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel
Jingfei Du
Alexis Conneau
Ves Stoyanov
60
507
0
03 Nov 2020
CAPT: Contrastive Pre-Training for Learning Denoised Sequence
  Representations
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations
Fuli Luo
Pengcheng Yang
Shicheng Li
Xuancheng Ren
Xu Sun
VLMSSL
54
16
0
13 Oct 2020
Tell Me How to Ask Again: Question Data Augmentation with Controllable
  Rewriting in Continuous Space
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
Dayiheng Liu
Yeyun Gong
Jie Fu
Yu Yan
Jiusheng Chen
Jiancheng Lv
Nan Duan
M. Zhou
36
37
0
04 Oct 2020
Conversational Machine Comprehension: a Literature Review
Conversational Machine Comprehension: a Literature Review
Somil Gupta
Bhanu Pratap Singh Rawat
Hong Yu
50
22
0
01 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
844
42,332
0
28 May 2020
Pretraining with Contrastive Sentence Objectives Improves Discourse
  Performance of Language Models
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
Dan Iter
Kelvin Guu
L. Lansing
Dan Jurafsky
46
78
0
20 May 2020
An Effective Transition-based Model for Discontinuous NER
An Effective Transition-based Model for Discontinuous NER
Xiang Dai
Sarvnaz Karimi
Ben Hachey
Cécile Paris
BDLMUMedIm
87
80
0
28 Apr 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
154
4,566
0
23 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
375
18,859
0
13 Feb 2020
Retrospective Reader for Machine Reading Comprehension
Retrospective Reader for Machine Reading Comprehension
Zhuosheng Zhang
Junjie Yang
Hai Zhao
RALM
74
227
0
27 Jan 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
348
1,617
0
21 Jan 2020
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCLDRL
81
285
0
27 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
210
12,121
0
13 Nov 2019
Improving Machine Reading Comprehension via Adversarial Training
Improving Machine Reading Comprehension via Adversarial Training
Ziqing Yang
Yiming Cui
Wanxiang Che
Ting Liu
Shijin Wang
Guoping Hu
55
17
0
09 Nov 2019
A Unified MRC Framework for Named Entity Recognition
A Unified MRC Framework for Named Entity Recognition
Xiaoya Li
Jingrong Feng
Yuxian Meng
Qinghong Han
Leilei Gan
Jiwei Li
80
637
0
25 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSLAIMat
371
6,463
0
26 Sep 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
276
442
0
25 Sep 2019
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
71
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
674
24,528
0
26 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
234
8,444
0
19 Jun 2019
Learning to Ask Unanswerable Questions for Machine Reading Comprehension
Learning to Ask Unanswerable Questions for Machine Reading Comprehension
Haichao Zhu
Li Dong
Furu Wei
Wenhui Wang
Bing Qin
Ting Liu
RALM
57
31
0
14 Jun 2019
Synthetic QA Corpora Generation with Roundtrip Consistency
Synthetic QA Corpora Generation with Roundtrip Consistency
Chris Alberti
D. Andor
Emily Pitler
Jacob Devlin
Michael Collins
SyDa
70
249
0
12 Jun 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
135
2,320
0
29 Apr 2019
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
VLMSSLSSeg
1.8K
95,114
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
40
23
0
24 Sep 2018
CoQA: A Conversational Question Answering Challenge
CoQA: A Conversational Question Answering Challenge
Siva Reddy
Danqi Chen
Christopher D. Manning
RALMHAI
114
1,209
0
21 Aug 2018
Read + Verify: Machine Reading Comprehension with Unanswerable Questions
Read + Verify: Machine Reading Comprehension with Unanswerable Questions
Minghao Hu
Furu Wei
Yuxing Peng
Zhen Huang
Nan Yang
Ming Zhou
RALMFaML
49
156
0
17 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
RALMELM
290
2,853
0
11 Jun 2018
Simple and Effective Multi-Paragraph Reading Comprehension
Simple and Effective Multi-Paragraph Reading Comprehension
Christopher Clark
Matt Gardner
RALM
90
459
0
29 Oct 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
282
9,797
0
25 Oct 2017
Adversarial Examples for Evaluating Reading Comprehension Systems
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia
Percy Liang
AAMLELM
206
1,608
0
23 Jul 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
189
1,357
0
15 Apr 2017
Reading Wikipedia to Answer Open-Domain Questions
Reading Wikipedia to Answer Open-Domain Questions
Danqi Chen
Adam Fisch
Jason Weston
Antoine Bordes
RALM
118
2,018
0
31 Mar 2017
Making Neural QA as Simple as Possible but not Simpler
Making Neural QA as Simple as Possible but not Simpler
Dirk Weissenborn
Georg Wiese
Laura Seiffe
82
210
0
14 Mar 2017
NewsQA: A Machine Comprehension Dataset
NewsQA: A Machine Comprehension Dataset
Adam Trischler
Tong Wang
Xingdi Yuan
Justin Harris
Alessandro Sordoni
Philip Bachman
Kaheer Suleman
106
893
0
29 Nov 2016
Bidirectional Attention Flow for Machine Comprehension
Bidirectional Attention Flow for Machine Comprehension
Minjoon Seo
Aniruddha Kembhavi
Ali Farhadi
Hannaneh Hajishirzi
133
2,091
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
312
8,169
0
16 Jun 2016
Gated-Attention Readers for Text Comprehension
Gated-Attention Readers for Text Comprehension
Bhuwan Dhingra
Hanxiao Liu
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
68
417
0
05 Jun 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
AIMatRALM
68
14
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
109
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
347
3,552
0
10 Jun 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
680
31,538
0
16 Jan 2013
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