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  4. Cited By
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense
  Inference

SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference

16 August 2018
Rowan Zellers
Yonatan Bisk
Roy Schwartz
Yejin Choi
ArXiv (abs)PDFHTML

Papers citing "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"

50 / 476 papers shown
Title
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason
  Over Implicit Knowledge
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
Alon Talmor
Oyvind Tafjord
Peter Clark
Yoav Goldberg
Jonathan Berant
ReLMLRM
142
37
0
11 Jun 2020
Consolidating Commonsense Knowledge
Consolidating Commonsense Knowledge
Filip Ilievski
Pedro A. Szekely
Jingwei Cheng
Fu Zhang
Ehsan Qasemi
202
19
0
10 Jun 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
AAML
515
3,324
0
05 Jun 2020
Beyond Leaderboards: A survey of methods for revealing weaknesses in
  Natural Language Inference data and models
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models
Viktor Schlegel
Goran Nenadic
Riza Batista-Navarro
ELM
179
18
0
29 May 2020
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual
  Transfer Too
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
Jason Phang
Iacer Calixto
Phu Mon Htut
Yada Pruksachatkun
Haokun Liu
Clara Vania
Katharina Kann
Samuel R. Bowman
LRM
198
67
0
26 May 2020
Adversarial Training for Commonsense Inference
Adversarial Training for Commonsense Inference
L. Pereira
Xiaodong Liu
Fei Cheng
Masayuki Asahara
Ichiro Kobayashi
AAML
100
32
0
17 May 2020
Machine Reading Comprehension: The Role of Contextualized Language
  Models and Beyond
Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
Zhuosheng Zhang
Hai Zhao
Rui Wang
192
66
0
13 May 2020
INFOTABS: Inference on Tables as Semi-structured Data
INFOTABS: Inference on Tables as Semi-structured Data
Vivek Gupta
Maitrey Mehta
Pegah Nokhiz
Vivek Srikumar
LMTD
158
132
0
13 May 2020
A Dataset for Statutory Reasoning in Tax Law Entailment and Question
  Answering
A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering
Nils Holzenberger
Andrew Blair-Stanek
Benjamin Van Durme
ELMAILaw
168
74
0
11 May 2020
Commonsense Evidence Generation and Injection in Reading Comprehension
Commonsense Evidence Generation and Injection in Reading Comprehension
Ye Liu
Tao Yang
Zeyu You
Wei Fan
Philip S. Yu
159
14
0
11 May 2020
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Tal Linzen
444
203
0
03 May 2020
DQI: Measuring Data Quality in NLP
DQI: Measuring Data Quality in NLP
Swaroop Mishra
Anjana Arunkumar
Bhavdeep Singh Sachdeva
Chris Bryan
Chitta Baral
214
36
0
02 May 2020
RICA: Evaluating Robust Inference Capabilities Based on Commonsense
  Axioms
RICA: Evaluating Robust Inference Capabilities Based on Commonsense AxiomsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Pei Zhou
Rahul Khanna
Seyeon Lee
Bill Yuchen Lin
Mark A. Lemley
Jay Pujara
Xiang Ren
ReLM
356
39
0
02 May 2020
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense
  Reasoning
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Michael Boratko
Xiang Lorraine Li
Rajarshi Das
Timothy J. O'Gorman
Daniel Le
Andrew McCallum
295
62
0
02 May 2020
Connecting the Dots: A Knowledgeable Path Generator for Commonsense
  Question Answering
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question AnsweringFindings (Findings), 2020
Peifeng Wang
Nanyun Peng
Filip Ilievski
Pedro A. Szekely
Xiang Ren
180
93
0
02 May 2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural
  Language Understanding: When and Why Does It Work?
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Yada Pruksachatkun
Jason Phang
Haokun Liu
Phu Mon Htut
Xiaoyi Zhang
Richard Yuanzhe Pang
Clara Vania
Katharina Kann
Samuel R. Bowman
CLLLRM
197
204
0
01 May 2020
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
XCOPA: A Multilingual Dataset for Causal Commonsense ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Edoardo Ponti
Goran Glavaš
Olga Majewska
Qianchu Liu
Ivan Vulić
Anna Korhonen
LRM
418
387
0
01 May 2020
Self-supervised Knowledge Triplet Learning for Zero-shot Question
  Answering
Self-supervised Knowledge Triplet Learning for Zero-shot Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Pratyay Banerjee
Chitta Baral
223
67
0
01 May 2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
AdapterFusion: Non-Destructive Task Composition for Transfer LearningConference of the European Chapter of the Association for Computational Linguistics (EACL), 2020
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Dong Wang
Iryna Gurevych
CLLMoMe
732
1,009
0
01 May 2020
Pre-training Is (Almost) All You Need: An Application to Commonsense
  Reasoning
Pre-training Is (Almost) All You Need: An Application to Commonsense ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Alexandre Tamborrino
Nicola Pellicanò
B. Pannier
Pascal Voitot
Louise Naudin
LRM
142
66
0
29 Apr 2020
PuzzLing Machines: A Challenge on Learning From Small Data
PuzzLing Machines: A Challenge on Learning From Small DataAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Gözde Gül Sahin
Yova Kementchedjhieva
Phillip Rust
Iryna Gurevych
AAMLLRM
100
21
0
27 Apr 2020
Masking as an Efficient Alternative to Finetuning for Pretrained
  Language Models
Masking as an Efficient Alternative to Finetuning for Pretrained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Mengjie Zhao
Tao Lin
Fei Mi
Martin Jaggi
Hinrich Schütze
221
123
0
26 Apr 2020
New Protocols and Negative Results for Textual Entailment Data
  Collection
New Protocols and Negative Results for Textual Entailment Data Collection
Samuel R. Bowman
J. Palomaki
Livio Baldini Soares
Emily Pitler
153
7
0
24 Apr 2020
Generative Data Augmentation for Commonsense Reasoning
Generative Data Augmentation for Commonsense Reasoning
Yiben Yang
Chaitanya Malaviya
Jared Fernandez
Swabha Swayamdipta
Ronan Le Bras
Ji-ping Wang
Chandra Bhagavatula
Yejin Choi
Doug Downey
LRM
217
89
0
24 Apr 2020
Experience Grounds Language
Experience Grounds Language
Yonatan Bisk
Ari Holtzman
Jesse Thomason
Jacob Andreas
Yoshua Bengio
...
Angeliki Lazaridou
Jonathan May
Aleksandr Nisnevich
Nicolas Pinto
Joseph P. Turian
427
395
0
21 Apr 2020
Learning What Makes a Difference from Counterfactual Examples and
  Gradient Supervision
Learning What Makes a Difference from Counterfactual Examples and Gradient SupervisionEuropean Conference on Computer Vision (ECCV), 2020
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
OODSSLCML
187
125
0
20 Apr 2020
Adversarial Training for Large Neural Language Models
Adversarial Training for Large Neural Language Models
Xiaodong Liu
Hao Cheng
Pengcheng He
Weizhu Chen
Yu Wang
Hoifung Poon
Jianfeng Gao
AAML
232
204
0
20 Apr 2020
Explaining Question Answering Models through Text Generation
Explaining Question Answering Models through Text Generation
Veronica Latcinnik
Jonathan Berant
LRM
208
53
0
12 Apr 2020
Pre-training Text Representations as Meta Learning
Pre-training Text Representations as Meta Learning
Shangwen Lv
Yuechen Wang
Daya Guo
Duyu Tang
Nan Duan
...
Ryan Ma
Daxin Jiang
Guihong Cao
Ming Zhou
Songlin Hu
AIMatSSLAI4CE
98
10
0
12 Apr 2020
Unsupervised Commonsense Question Answering with Self-Talk
Unsupervised Commonsense Question Answering with Self-TalkConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Vered Shwartz
Peter West
Ronan Le Bras
Chandra Bhagavatula
Yejin Choi
ReLMSSLAI4MHLRM
232
276
0
11 Apr 2020
MuTual: A Dataset for Multi-Turn Dialogue Reasoning
MuTual: A Dataset for Multi-Turn Dialogue ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Leyang Cui
Yu-Huan Wu
Shujie Liu
Yue Zhang
Ming Zhou
LRM
156
159
0
09 Apr 2020
TuringAdvice: A Generative and Dynamic Evaluation of Language Use
TuringAdvice: A Generative and Dynamic Evaluation of Language Use
Rowan Zellers
Ari Holtzman
Elizabeth Clark
Lianhui Qin
Ali Farhadi
Yejin Choi
ELMLRM
202
13
0
07 Apr 2020
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature
  and PRESupposition
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Paloma Jeretic
Alex Warstadt
Suvrat Bhooshan
Adina Williams
ReLMAI4CE
317
126
0
07 Apr 2020
Enhancing Review Comprehension with Domain-Specific Commonsense
Enhancing Review Comprehension with Domain-Specific Commonsense
Aaron Traylor
Chen Chen
Behzad Golshan
Xiaolan Wang
Yuliang Li
Yoshihiko Suhara
Jinfeng Li
Çağatay Demiralp
W. Tan
84
1
0
06 Apr 2020
Evaluating Models' Local Decision Boundaries via Contrast Sets
Evaluating Models' Local Decision Boundaries via Contrast Sets
Matt Gardner
Yoav Artzi
Victoria Basmova
Jonathan Berant
Ben Bogin
...
Sanjay Subramanian
Reut Tsarfaty
Eric Wallace
Ally Zhang
Ben Zhou
ELM
308
84
0
06 Apr 2020
Deep Learning Based Text Classification: A Comprehensive Review
Deep Learning Based Text Classification: A Comprehensive ReviewACM Computing Surveys (ACM CSUR), 2020
Shervin Minaee
Nal Kalchbrenner
Xiaoshi Zhong
Narjes Nikzad
M. Asgari-Chenaghlu
Jianfeng Gao
AILawVLMAI4TS
253
1,208
0
06 Apr 2020
Benchmarking Machine Reading Comprehension: A Psychological Perspective
Benchmarking Machine Reading Comprehension: A Psychological Perspective
Saku Sugawara
Pontus Stenetorp
Akiko Aizawa
209
2
0
04 Apr 2020
Common-Knowledge Concept Recognition for SEVA
Common-Knowledge Concept Recognition for SEVAAAAI Spring Symposium Combining Machine Learning with Knowledge Engineering (CMLKE), 2020
Jitin Krishnan
Patrick Coronado
Hemant Purohit
Huzefa Rangwala
63
1
0
26 Mar 2020
Video Object Grounding using Semantic Roles in Language Description
Video Object Grounding using Semantic Roles in Language DescriptionComputer Vision and Pattern Recognition (CVPR), 2020
Arka Sadhu
Kan Chen
Ram Nevatia
173
50
0
24 Mar 2020
Calibration of Pre-trained Transformers
Calibration of Pre-trained TransformersConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Shrey Desai
Greg Durrett
UQLM
573
352
0
17 Mar 2020
Investigating Entity Knowledge in BERT with Simple Neural End-To-End
  Entity Linking
Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity LinkingConference on Computational Natural Language Learning (CoNLL), 2019
Samuel Broscheit
OCL
201
134
0
11 Mar 2020
Neuro-symbolic Architectures for Context Understanding
Neuro-symbolic Architectures for Context Understanding
A. Oltramari
Jonathan M Francis
C. Henson
Kaixin Ma
Ruwan Wickramarachchi
NAIAI4CE
129
34
0
09 Mar 2020
Natural Language QA Approaches using Reasoning with External Knowledge
Natural Language QA Approaches using Reasoning with External Knowledge
Chitta Baral
Pratyay Banerjee
Kuntal Kumar Pal
Arindam Mitra
LRM
116
5
0
06 Mar 2020
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in
  Natural Language Inference
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language InferenceInternational Conference on Language Resources and Evaluation (LREC), 2020
Tianyu Liu
Xin Zheng
Baobao Chang
Zhifang Sui
207
25
0
05 Mar 2020
jiant: A Software Toolkit for Research on General-Purpose Text
  Understanding Models
jiant: A Software Toolkit for Research on General-Purpose Text Understanding ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Yada Pruksachatkun
Philip Yeres
Haokun Liu
Jason Phang
Phu Mon Htut
Alex Jinpeng Wang
Ian Tenney
Samuel R. Bowman
SSeg
226
96
0
04 Mar 2020
Style Example-Guided Text Generation using Generative Adversarial
  Transformers
Style Example-Guided Text Generation using Generative Adversarial Transformers
Kuo-Hao Zeng
Mohammad Shoeybi
Ming-Yuan Liu
GAN
148
19
0
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Unshuffling Data for Improved Generalization
Unshuffling Data for Improved GeneralizationIEEE International Conference on Computer Vision (ICCV), 2020
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
OOD
193
82
0
27 Feb 2020
Adversarial Filters of Dataset Biases
Adversarial Filters of Dataset BiasesInternational Conference on Machine Learning (ICML), 2020
Ronan Le Bras
Swabha Swayamdipta
Chandra Bhagavatula
Rowan Zellers
Matthew E. Peters
Ashish Sabharwal
Yejin Choi
373
232
0
10 Feb 2020
Mining Commonsense Facts from the Physical World
Yanyan Zou
Wei Lu
Xu Sun
155
1
0
08 Feb 2020
Beat the AI: Investigating Adversarial Human Annotation for Reading
  Comprehension
Beat the AI: Investigating Adversarial Human Annotation for Reading ComprehensionTransactions of the Association for Computational Linguistics (TACL), 2020
Max Bartolo
A. Roberts
Johannes Welbl
Sebastian Riedel
Pontus Stenetorp
AAML
260
186
0
02 Feb 2020
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