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A Survey on Automated Fact-Checking

A Survey on Automated Fact-Checking

26 August 2021
Zhijiang Guo
Michael Schlichtkrull
Andreas Vlachos
ArXivPDFHTML

Papers citing "A Survey on Automated Fact-Checking"

50 / 120 papers shown
Title
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
44
103
0
13 May 2020
That is a Known Lie: Detecting Previously Fact-Checked Claims
That is a Known Lie: Detecting Previously Fact-Checked Claims
Shaden Shaar
Giovanni Da San Martino
Nikolay Babulkov
Preslav Nakov
HILM
78
157
0
12 May 2020
On Faithfulness and Factuality in Abstractive Summarization
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez
Shashi Narayan
Bernd Bohnet
Ryan T. McDonald
HILM
72
1,025
0
02 May 2020
Mind the Trade-off: Debiasing NLU Models without Degrading the
  In-distribution Performance
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance
Prasetya Ajie Utama
N. Moosavi
Iryna Gurevych
OODD
105
127
0
01 May 2020
Fact or Fiction: Verifying Scientific Claims
Fact or Fiction: Verifying Scientific Claims
David Wadden
Shanchuan Lin
Kyle Lo
Lucy Lu Wang
Madeleine van Zuylen
Arman Cohan
Hannaneh Hajishirzi
HAI
88
440
0
30 Apr 2020
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with
  Graph Module Network
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
Wanjun Zhong
Duyu Tang
Zhangyin Feng
Nan Duan
Ming Zhou
Ming Gong
Linjun Shou
Daxin Jiang
Jiahai Wang
Jian Yin
GNN
85
55
0
28 Apr 2020
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim
  Verification
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification
Lianwei Wu
Y. Rao
Yongqiang Zhao
Hao Liang
Ambreen Nazir
34
59
0
28 Apr 2020
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News
  Detection on Social Media
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
Yi-Ju Lu
Cheng-Te Li
GNN
94
392
0
24 Apr 2020
Generating Fact Checking Explanations
Generating Fact Checking Explanations
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
53
195
0
13 Apr 2020
Towards Faithfully Interpretable NLP Systems: How should we define and
  evaluate faithfulness?
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Alon Jacovi
Yoav Goldberg
XAI
82
588
0
07 Apr 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models
ERASER: A Benchmark to Evaluate Rationalized NLP Models
Jay DeYoung
Sarthak Jain
Nazneen Rajani
Eric P. Lehman
Caiming Xiong
R. Socher
Byron C. Wallace
85
632
0
08 Nov 2019
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
Andreas Hanselowski
Christian Stab
Claudia Schulz
Zile Li
Iryna Gurevych
56
122
0
29 Oct 2019
Rethinking Cooperative Rationalization: Introspective Extraction and
  Complement Control
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
Mo Yu
Shiyu Chang
Yang Zhang
Tommi Jaakkola
115
143
0
29 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
78
221
0
22 Oct 2019
Revealing the Importance of Semantic Retrieval for Machine Reading at
  Scale
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
Yixin Nie
Songhe Wang
Joey Tianyi Zhou
RALM
197
135
0
17 Sep 2019
Learning to Deceive with Attention-Based Explanations
Learning to Deceive with Attention-Based Explanations
Danish Pruthi
Mansi Gupta
Bhuwan Dhingra
Graham Neubig
Zachary Chase Lipton
58
193
0
17 Sep 2019
End-to-End Bias Mitigation by Modelling Biases in Corpora
End-to-End Bias Mitigation by Modelling Biases in Corpora
Rabeeh Karimi Mahabadi
Yonatan Belinkov
James Henderson
106
177
0
13 Sep 2019
Reasoning Over Semantic-Level Graph for Fact Checking
Reasoning Over Semantic-Level Graph for Fact Checking
Wanjun Zhong
Jingjing Xu
Duyu Tang
Zenan Xu
Nan Duan
M. Zhou
Jiahai Wang
Jian Yin
HILM
GNN
225
166
0
09 Sep 2019
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact
  Checking of Claims
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
Isabelle Augenstein
Christina Lioma
Dongsheng Wang
Lucas Chaves Lima
Casper Hansen
Christian B. Hansen
J. Simonsen
HILM
107
250
0
07 Sep 2019
TabFact: A Large-scale Dataset for Table-based Fact Verification
TabFact: A Large-scale Dataset for Table-based Fact Verification
Wenhu Chen
Hongmin Wang
Jianshu Chen
Yunkai Zhang
Hong Wang
Shiyang Li
Xiyou Zhou
William Yang Wang
LMTD
63
488
0
05 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
535
2,639
0
03 Sep 2019
Fact-Checking Meets Fauxtography: Verifying Claims About Images
Fact-Checking Meets Fauxtography: Verifying Claims About Images
Dimitrina Zlatkova
Preslav Nakov
Ivan Koychev
41
85
0
30 Aug 2019
Human-grounded Evaluations of Explanation Methods for Text
  Classification
Human-grounded Evaluations of Explanation Methods for Text Classification
Piyawat Lertvittayakumjorn
Francesca Toni
FAtt
66
67
0
29 Aug 2019
The Limitations of Stylometry for Detecting Machine-Generated Fake News
The Limitations of Stylometry for Detecting Machine-Generated Fake News
Tal Schuster
R. Schuster
Darsh J. Shah
Regina Barzilay
DeLMO
89
126
0
26 Aug 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
78
211
0
14 Aug 2019
Attention is not not Explanation
Attention is not not Explanation
Sarah Wiegreffe
Yuval Pinter
XAI
AAML
FAtt
58
901
0
13 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
59
199
0
22 Jul 2019
XFake: Explainable Fake News Detector with Visualizations
XFake: Explainable Fake News Detector with Visualizations
Fan Yang
Shiva K. Pentyala
Sina Mohseni
Mengnan Du
Hao Yuan
Rhema Linder
Eric D. Ragan
Shuiwang Ji
Xia Hu
57
118
0
08 Jul 2019
Explainable Fact Checking with Probabilistic Answer Set Programming
Explainable Fact Checking with Probabilistic Answer Set Programming
N. Ahmadi
Joohyung Lee
Paolo Papotti
Mohammed Saeed
41
54
0
21 Jun 2019
Is Attention Interpretable?
Is Attention Interpretable?
Sofia Serrano
Noah A. Smith
78
679
0
09 Jun 2019
Defending Against Neural Fake News
Defending Against Neural Fake News
Rowan Zellers
Ari Holtzman
Hannah Rashkin
Yonatan Bisk
Ali Farhadi
Franziska Roesner
Yejin Choi
AAML
102
1,019
0
29 May 2019
Fake News Early Detection: An Interdisciplinary Study
Fake News Early Detection: An Interdisciplinary Study
Xinyi Zhou
Atishay Jain
V. Phoha
R. Zafarani
63
206
0
26 Apr 2019
Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's
  Verifiability
Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability
Miriam Redi
B. Fetahu
Jonathan T. Morgan
Dario Taraborelli
38
48
0
28 Feb 2019
Attention is not Explanation
Attention is not Explanation
Sarthak Jain
Byron C. Wallace
FAtt
87
1,307
0
26 Feb 2019
Fake News Detection on Social Media using Geometric Deep Learning
Fake News Detection on Social Media using Geometric Deep Learning
Federico Monti
Fabrizio Frasca
D. Eynard
Damon Mannion
M. Bronstein
GNN
76
462
0
10 Feb 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
117
1,226
0
04 Feb 2019
On the (In)fidelity and Sensitivity for Explanations
On the (In)fidelity and Sensitivity for Explanations
Chih-Kuan Yeh
Cheng-Yu Hsieh
A. Suggala
David I. Inouye
Pradeep Ravikumar
FAtt
58
449
0
27 Jan 2019
The Fact Extraction and VERification (FEVER) Shared Task
The Fact Extraction and VERification (FEVER) Shared Task
James Thorne
Andreas Vlachos
O. Cocarascu
Christos Christodoulopoulos
Arpit Mittal
HILM
31
237
0
27 Nov 2018
Combining Fact Extraction and Verification with Neural Semantic Matching
  Networks
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
Yixin Nie
Haonan Chen
Joey Tianyi Zhou
FedML
48
302
0
16 Nov 2018
A Survey on Natural Language Processing for Fake News Detection
A Survey on Natural Language Processing for Fake News Detection
Ray Oshikawa
Jing Qian
William Yang Wang
GNN
91
308
0
02 Nov 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
1.1K
93,936
0
11 Oct 2018
Towards Automated Factchecking: Developing an Annotation Schema and
  Benchmark for Consistent Automated Claim Detection
Towards Automated Factchecking: Developing an Annotation Schema and Benchmark for Consistent Automated Claim Detection
Lev Konstantinovskiy
Oliver Price
Mevan Babakar
A. Zubiaga
HILM
42
129
0
21 Sep 2018
RumourEval 2019: Determining Rumour Veracity and Support for Rumours
RumourEval 2019: Determining Rumour Veracity and Support for Rumours
G. Gorrell
Kalina Bontcheva
Leon Derczynski
E. Kochkina
Maria Liakata
A. Zubiaga
70
216
0
18 Sep 2018
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep
  Learning
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
Kashyap Popat
Subhabrata Mukherjee
Andrew Yates
Gerhard Weikum
HILM
55
300
0
17 Sep 2018
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim
  Verification
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification
Wenpeng Yin
Dan Roth
AAML
36
73
0
10 Aug 2018
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and
  Verification of Political Claims. Task 1: Check-Worthiness
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness
Pepa Atanasova
Alberto Barrón-Cedeño
Tamer Elsayed
Reem Suwaileh
Wajdi Zaghouani
Spas Kyuchukov
Giovanni Da San Martino
Preslav Nakov
37
147
0
08 Aug 2018
Automated Fact Checking: Task formulations, methods and future
  directions
Automated Fact Checking: Task formulations, methods and future directions
James Thorne
Andreas Vlachos
58
280
0
20 Jun 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
225
579
0
02 May 2018
Integrating Stance Detection and Fact Checking in a Unified Corpus
Integrating Stance Detection and Fact Checking in a Unified Corpus
R. Baly
Mitra Mohtarami
James R. Glass
Lluís Màrquez i Villodre
Alessandro Moschitti
Preslav Nakov
53
146
0
21 Apr 2018
FEVER: a large-scale dataset for Fact Extraction and VERification
FEVER: a large-scale dataset for Fact Extraction and VERification
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
HILM
118
1,633
0
14 Mar 2018
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