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Syntactic Data Augmentation Increases Robustness to Inference Heuristics

Syntactic Data Augmentation Increases Robustness to Inference Heuristics

24 April 2020
Junghyun Min
R. Thomas McCoy
Dipanjan Das
Emily Pitler
Tal Linzen
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Papers citing "Syntactic Data Augmentation Increases Robustness to Inference Heuristics"

29 / 29 papers shown
Title
Specification Overfitting in Artificial Intelligence
Specification Overfitting in Artificial Intelligence
Benjamin Roth
Pedro Henrique Luz de Araujo
Yuxi Xia
Saskia Kaltenbrunner
Christoph Korab
178
1
0
13 Mar 2024
Punctuation Restoration Improves Structure Understanding Without Supervision
Punctuation Restoration Improves Structure Understanding Without Supervision
Junghyun Min
Minho Lee
Woochul Lee
Yeonsoo Lee
96
1
0
13 Feb 2024
Increasing Robustness to Spurious Correlations using Forgettable
  Examples
Increasing Robustness to Spurious Correlations using Forgettable Examples
Yadollah Yaghoobzadeh
Soroush Mehri
Remi Tachet
Timothy J. Hazen
Alessandro Sordoni
OOD
47
18
0
10 Nov 2019
BERTs of a feather do not generalize together: Large variability in
  generalization across models with similar test set performance
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance
R. Thomas McCoy
Junghyun Min
Tal Linzen
93
150
0
07 Nov 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding
Adversarial NLI: A New Benchmark for Natural Language Understanding
Yixin Nie
Adina Williams
Emily Dinan
Joey Tianyi Zhou
Jason Weston
Douwe Kiela
123
1,005
0
31 Oct 2019
HUBERT Untangles BERT to Improve Transfer across NLP Tasks
HUBERT Untangles BERT to Improve Transfer across NLP Tasks
M. Moradshahi
Hamid Palangi
M. Lam
P. Smolensky
Jianfeng Gao
98
16
0
25 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
419
20,127
0
23 Oct 2019
Improving Natural Language Inference with a Pretrained Parser
Improving Natural Language Inference with a Pretrained Parser
D. Pang
Lucy H. Lin
Noah A. Smith
56
14
0
18 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known
  Dataset Biases
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
OOD
71
465
0
09 Sep 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the
  Residual
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
He He
Sheng Zha
Haohan Wang
62
199
0
28 Aug 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP
Universal Adversarial Triggers for Attacking and Analyzing NLP
Eric Wallace
Shi Feng
Nikhil Kandpal
Matt Gardner
Sameer Singh
AAML
SILM
112
865
0
20 Aug 2019
MultiQA: An Empirical Investigation of Generalization and Transfer in
  Reading Comprehension
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension
Alon Talmor
Jonathan Berant
81
173
0
31 May 2019
What do you learn from context? Probing for sentence structure in
  contextualized word representations
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney
Patrick Xia
Berlin Chen
Alex Jinpeng Wang
Adam Poliak
...
Najoung Kim
Benjamin Van Durme
Samuel R. Bowman
Dipanjan Das
Ellie Pavlick
175
859
0
15 May 2019
HELP: A Dataset for Identifying Shortcomings of Neural Models in
  Monotonicity Reasoning
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning
Hitomi Yanaka
K. Mineshima
D. Bekki
Kentaro Inui
Satoshi Sekine
Lasha Abzianidze
Johan Bos
49
62
0
27 Apr 2019
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
Nelson F. Liu
Roy Schwartz
Noah A. Smith
AAML
68
106
0
04 Apr 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
  Language Inference
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
131
1,237
0
04 Feb 2019
Learning and Evaluating General Linguistic Intelligence
Learning and Evaluating General Linguistic Intelligence
Dani Yogatama
Cyprien de Masson dÁutume
Jerome T. Connor
Tomás Kociský
Mike Chrzanowski
...
Angeliki Lazaridou
Wang Ling
Lei Yu
Chris Dyer
Phil Blunsom
ELM
AI4CE
146
210
0
31 Jan 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text
  Classification Tasks
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Jason W. Wei
Kai Zou
107
1,953
0
31 Jan 2019
Assessing BERT's Syntactic Abilities
Assessing BERT's Syntactic Abilities
Yoav Goldberg
71
495
0
16 Jan 2019
Teaching Syntax by Adversarial Distraction
Teaching Syntax by Adversarial Distraction
Juho Kim
Christopher Malon
Asim Kadav
75
6
0
25 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
1.8K
94,770
0
11 Oct 2018
Adversarially Regularising Neural NLI Models to Integrate Logical
  Background Knowledge
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini
Sebastian Riedel
AAML
NAI
GAN
56
119
0
26 Aug 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
329
719
0
17 Apr 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
211
11,549
0
15 Feb 2018
Evaluating Compositionality in Sentence Embeddings
Evaluating Compositionality in Sentence Embeddings
Ishita Dasgupta
Demi Guo
Andreas Stuhlmuller
S. Gershman
Noah D. Goodman
CoGe
64
121
0
12 Feb 2018
The Effectiveness of Data Augmentation in Image Classification using
  Deep Learning
The Effectiveness of Data Augmentation in Image Classification using Deep Learning
Luis Perez
Jason Wang
80
2,788
0
13 Dec 2017
Synthetic and Natural Noise Both Break Neural Machine Translation
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov
Yonatan Bisk
111
740
0
06 Nov 2017
Adversarial Examples for Evaluating Reading Comprehension Systems
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia
Percy Liang
AAML
ELM
199
1,605
0
23 Jul 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
520
4,476
0
18 Apr 2017
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