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Fool Me Twice: Entailment from Wikipedia Gamification

Fool Me Twice: Entailment from Wikipedia Gamification

10 April 2021
Julian Martin Eisenschlos
Bhuwan Dhingra
Jannis Bulian
Benjamin Borschinger
Jordan L. Boyd-Graber
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Papers citing "Fool Me Twice: Entailment from Wikipedia Gamification"

24 / 24 papers shown
Title
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Jing Yang
Max Glockner
Anderson de Rezende Rocha
Iryna Gurevych
LRM
86
1
0
07 Feb 2025
Claim Verification in the Age of Large Language Models: A Survey
Claim Verification in the Age of Large Language Models: A Survey
A. Dmonte
Roland Oruche
Marcos Zampieri
Prasad Calyam
Isabelle Augenstein
69
9
0
26 Aug 2024
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
Yichen Jiang
Shikha Bordia
Zheng Zhong
Charles Dognin
M. Singh
Joey Tianyi Zhou
62
151
0
05 Nov 2020
Asking Crowdworkers to Write Entailment Examples: The Best of Bad
  Options
Asking Crowdworkers to Write Entailment Examples: The Best of Bad Options
Clara Vania
Ruijie Chen
Samuel R. Bowman
78
10
0
13 Oct 2020
Understanding tables with intermediate pre-training
Understanding tables with intermediate pre-training
Julian Martin Eisenschlos
Syrine Krichene
Thomas Müller
LMTD
100
119
0
01 Oct 2020
Towards Debiasing NLU Models from Unknown Biases
Towards Debiasing NLU Models from Unknown Biases
Prasetya Ajie Utama
N. Moosavi
Iryna Gurevych
34
155
0
25 Sep 2020
Dense Passage Retrieval for Open-Domain Question Answering
Dense Passage Retrieval for Open-Domain Question Answering
Vladimir Karpukhin
Barlas Oğuz
Sewon Min
Patrick Lewis
Ledell Yu Wu
Sergey Edunov
Danqi Chen
Wen-tau Yih
RALM
124
3,676
0
10 Apr 2020
REALM: Retrieval-Augmented Language Model Pre-Training
REALM: Retrieval-Augmented Language Model Pre-Training
Kelvin Guu
Kenton Lee
Zora Tung
Panupong Pasupat
Ming-Wei Chang
RALM
84
2,050
0
10 Feb 2020
Beat the AI: Investigating Adversarial Human Annotation for Reading
  Comprehension
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension
Max Bartolo
A. Roberts
Johannes Welbl
Sebastian Riedel
Pontus Stenetorp
AAML
66
168
0
02 Feb 2020
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
91
991
0
31 Oct 2019
What Question Answering can Learn from Trivia Nerds
What Question Answering can Learn from Trivia Nerds
Jordan L. Boyd-Graber
Benjamin Borschinger
49
36
0
31 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
249
19,824
0
23 Oct 2019
Fine-grained Fact Verification with Kernel Graph Attention Network
Fine-grained Fact Verification with Kernel Graph Attention Network
Zhenghao Liu
Chenyan Xiong
Maosong Sun
Zhiyuan Liu
69
221
0
22 Oct 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
53
463
0
09 Sep 2019
Towards Debiasing Fact Verification Models
Towards Debiasing Fact Verification Models
Tal Schuster
Darsh J. Shah
Yun Jie Serene Yeo
Daniel Filizzola
Enrico Santus
Regina Barzilay
74
210
0
14 Aug 2019
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact
  Verification
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
Jie Zhou
Xu Han
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
47
199
0
22 Jul 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
VLM
SSL
SSeg
853
93,936
0
11 Oct 2018
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
221
579
0
02 May 2018
Performance Impact Caused by Hidden Bias of Training Data for
  Recognizing Textual Entailment
Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment
Masatoshi Tsuchiya
43
160
0
22 Apr 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
84
1,167
0
06 Mar 2018
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
366
4,444
0
18 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
94
2,003
0
31 Mar 2017
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
204
4,256
0
21 Aug 2015
Quizz: Targeted crowdsourcing with a billion (potential) users
Quizz: Targeted crowdsourcing with a billion (potential) users
Panagiotis G. Ipeirotis
E. Gabrilovich
26
160
0
02 Jun 2015
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