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FEVER: a large-scale dataset for Fact Extraction and VERification
v1v2v3 (latest)

FEVER: a large-scale dataset for Fact Extraction and VERification

North American Chapter of the Association for Computational Linguistics (NAACL), 2018
14 March 2018
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
    HILM
ArXiv (abs)PDFHTML

Papers citing "FEVER: a large-scale dataset for Fact Extraction and VERification"

50 / 1,133 papers shown
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
LOREN: Logic-Regularized Reasoning for Interpretable Fact VerificationAAAI Conference on Artificial Intelligence (AAAI), 2020
Jiangjie Chen
Qiaoben Bao
Changzhi Sun
Xinbo Zhang
Jiaze Chen
Hao Zhou
Yanghua Xiao
Lei Li
LRM
280
40
0
25 Dec 2020
ProofWriter: Generating Implications, Proofs, and Abductive Statements
  over Natural Language
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural LanguageFindings (Findings), 2020
Oyvind Tafjord
Bhavana Dalvi
Peter Clark
443
366
0
24 Dec 2020
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning
  for COVID-19 Fake News Detection
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
Anna Glazkova
Maksim Glazkov
T. Trifonov
336
66
0
22 Dec 2020
Multilingual Evidence Retrieval and Fact Verification to Combat Global
  Disinformation: The Power of Polyglotism
Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of PolyglotismEuropean Conference on Information Retrieval (ECIR), 2020
Denisa A.O. Roberts
198
4
0
16 Dec 2020
Distilling Knowledge from Reader to Retriever for Question Answering
Distilling Knowledge from Reader to Retriever for Question Answering
Gautier Izacard
Edouard Grave
RALM
501
301
0
08 Dec 2020
Learning from others' mistakes: Avoiding dataset biases without modeling
  them
Learning from others' mistakes: Avoiding dataset biases without modeling themInternational Conference on Learning Representations (ICLR), 2020
Victor Sanh
Thomas Wolf
Yonatan Belinkov
Alexander M. Rush
304
123
0
02 Dec 2020
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
Thomas Diggelmann
Jordan L. Boyd-Graber
Jannis Bulian
Massimiliano Ciaramita
Markus Leippold
305
256
0
01 Dec 2020
Coarse-to-Fine Memory Matching for Joint Retrieval and Classification
Coarse-to-Fine Memory Matching for Joint Retrieval and Classification
A. Schmaltz
Andrew L. Beam
RALM
99
2
0
29 Nov 2020
An Investigation of Language Model Interpretability via Sentence Editing
An Investigation of Language Model Interpretability via Sentence EditingBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2020
Samuel Stevens
Yu-Chuan Su
LRM
167
9
0
28 Nov 2020
Two Stage Transformer Model for COVID-19 Fake News Detection and Fact
  Checking
Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking
Rutvik Vijjali
Prathyush Potluri
S. Kumar
Sundeep Teki
MedIm
155
84
0
26 Nov 2020
Generating Fact Checking Briefs
Generating Fact Checking Briefs
Angela Fan
Aleksandra Piktus
Fabio Petroni
Guillaume Wenzek
Marzieh Saeidi
Andreas Vlachos
Antoine Bordes
Sebastian Riedel
HILM
241
64
0
10 Nov 2020
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text
  Systems
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems
Craig Thomson
Ehud Reiter
132
52
0
08 Nov 2020
Explainable Automated Fact-Checking: A Survey
Explainable Automated Fact-Checking: A Survey
Neema Kotonya
Francesca Toni
232
137
0
07 Nov 2020
Machine Generation and Detection of Arabic Manipulated and Fake News
Machine Generation and Detection of Arabic Manipulated and Fake News
El Moatez Billah Nagoudi
AbdelRahim Elmadany
Muhammad Abdul-Mageed
Tariq Alhindi
H. Cavusoglu
DeLMO
196
62
0
05 Nov 2020
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
402
198
0
05 Nov 2020
Pre-training Text-to-Text Transformers for Concept-centric Common Sense
Pre-training Text-to-Text Transformers for Concept-centric Common SenseInternational Conference on Learning Representations (ICLR), 2020
Wangchunshu Zhou
Dong-Ho Lee
Ravi Kiran Selvam
Seyeon Lee
Bill Yuchen Lin
Xiang Ren
LRMVLM
256
73
0
24 Oct 2020
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text RationalesConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
700
200
0
24 Oct 2020
ANLIzing the Adversarial Natural Language Inference Dataset
ANLIzing the Adversarial Natural Language Inference Dataset
Adina Williams
Tristan Thrush
Douwe Kiela
AAML
406
48
0
24 Oct 2020
Scientific Claim Verification with VERT5ERINI
Scientific Claim Verification with VERT5ERINI
Ronak Pradeep
Xueguang Ma
Rodrigo Nogueira
Jimmy J. Lin
185
69
0
22 Oct 2020
Explainable Automated Fact-Checking for Public Health Claims
Explainable Automated Fact-Checking for Public Health ClaimsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Neema Kotonya
Francesca Toni
471
316
0
19 Oct 2020
Neural Deepfake Detection with Factual Structure of Text
Neural Deepfake Detection with Factual Structure of Text
Wanjun Zhong
Duyu Tang
Zenan Xu
Ruize Wang
Nan Duan
M. Zhou
Jiahai Wang
Jian Yin
161
74
0
15 Oct 2020
Neural Databases
Neural Databases
James Thorne
Majid Yazdani
Marzieh Saeidi
Fabrizio Silvestri
Sebastian Riedel
A. Halevy
NAI
216
9
0
14 Oct 2020
No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet
  Detection
No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection
Debanjana Kar
M. Bhardwaj
Suranjana Samanta
A. Azad
207
72
0
14 Oct 2020
Pretrained Transformers for Text Ranking: BERT and Beyond
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
796
699
0
13 Oct 2020
Connecting the Dots Between Fact Verification and Fake News Detection
Connecting the Dots Between Fact Verification and Fake News DetectionInternational Conference on Computational Linguistics (COLING), 2020
Qifei Li
Wangchunshu Zhou
138
31
0
11 Oct 2020
Hierarchical Evidence Set Modeling for Automated Fact Extraction and
  Verification
Hierarchical Evidence Set Modeling for Automated Fact Extraction and VerificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Shyam Subramanian
Kyumin Lee
164
25
0
10 Oct 2020
Evaluating and Characterizing Human Rationales
Evaluating and Characterizing Human RationalesConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Samuel Carton
Anirudh Rathore
Chenhao Tan
217
55
0
09 Oct 2020
Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic
  Representations
Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
Emily Allaway
Kathleen McKeown
156
212
0
07 Oct 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales
  Without Supervision
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
Max Glockner
Ivan Habernal
Iryna Gurevych
LRM
274
28
0
07 Oct 2020
Where Are the Facts? Searching for Fact-checked Information to Alleviate
  the Spread of Fake News
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
Nguyen Vo
Kyumin Lee
GNN
184
98
0
07 Oct 2020
Program Enhanced Fact Verification with Verbalization and Graph
  Attention Network
Program Enhanced Fact Verification with Verbalization and Graph Attention Network
Xiaoyu Yang
Feng Nie
Yufei Feng
Quan Liu
Zhigang Chen
Xiao-Dan Zhu
456
55
0
06 Oct 2020
A Review on Fact Extraction and Verification
A Review on Fact Extraction and Verification
Giannis Bekoulis
Christina Papagiannopoulou
Nikos Deligiannis
601
57
0
06 Oct 2020
Autoregressive Entity Retrieval
Autoregressive Entity RetrievalInternational Conference on Learning Representations (ICLR), 2020
Nicola De Cao
Gautier Izacard
Sebastian Riedel
Fabio Petroni
883
514
0
02 Oct 2020
Fake News Spreader Detection on Twitter using Character N-Grams.
  Notebook for PAN at CLEF 2020
Fake News Spreader Detection on Twitter using Character N-Grams. Notebook for PAN at CLEF 2020
Inna Vogel
M. Meghana
66
19
0
29 Sep 2020
Similarity Detection Pipeline for Crawling a Topic Related Fake News Corpus
Inna Vogel
Jeong-Eun Choi
M. Meghana
106
0
0
28 Sep 2020
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Answering Complex Open-Domain Questions with Multi-Hop Dense RetrievalInternational Conference on Learning Representations (ICLR), 2020
Wenhan Xiong
Xiang Lorraine Li
Srini Iyer
Jingfei Du
Patrick Lewis
...
Yashar Mehdad
Anuj Kumar
Sebastian Riedel
Douwe Kiela
Barlas Oğuz
203
218
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27 Sep 2020
Machine Knowledge: Creation and Curation of Comprehensive Knowledge
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Gerhard Weikum
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Fabian M. Suchanek
360
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Preserving Integrity in Online Social Networks
Preserving Integrity in Online Social NetworksCommunications of the ACM (CACM), 2020
A. Halevy
Cristian Canton Ferrer
Hao Ma
Umut Ozertem
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Fabrizio Silvestri
Ves Stoyanov
255
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Generating Label Cohesive and Well-Formed Adversarial Claims
Generating Label Cohesive and Well-Formed Adversarial ClaimsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Pepa Atanasova
Dustin Wright
Isabelle Augenstein
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Multi-Hop Fact Checking of Political Claims
Multi-Hop Fact Checking of Political ClaimsInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
W. Ostrowski
Arnav Arora
Pepa Atanasova
Isabelle Augenstein
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321
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10 Sep 2020
Time-Aware Evidence Ranking for Fact-Checking
Time-Aware Evidence Ranking for Fact-CheckingJournal of Web Semantics (JWS), 2020
Liesbeth Allein
Isabelle Augenstein
Marie-Francine Moens
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243
18
0
10 Sep 2020
SemEval-2020 Task 11: Detection of Propaganda Techniques in News
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SemEval-2020 Task 11: Detection of Propaganda Techniques in News ArticlesInternational Workshop on Semantic Evaluation (SemEval), 2020
Giovanni Da San Martino
Alberto Barrón-Cedeño
Henning Wachsmuth
R. Petrov
Preslav Nakov
226
257
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06 Sep 2020
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake
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Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim ClassificationIntelligence and Security Informatics (ISI), 2020
Bibek Upadhayay
Vahid Behzadan
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Knowledge Efficient Deep Learning for Natural Language Processing
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Hai Wang
140
2
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28 Aug 2020
Adapting Security Warnings to Counter Online Disinformation
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Ben Kaiser
Jerry W. Wei
Elena Lucherini
Kevin Lee
J. N. Matias
Jonathan R. Mayer
450
74
0
25 Aug 2020
Can We Spot the "Fake News" Before It Was Even Written?
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Preslav Nakov
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110
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Efficient Conformal Prediction via Cascaded Inference with Expanded
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Tal Schuster
Tommi Jaakkola
Regina Barzilay
309
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Selective Question Answering under Domain Shift
Selective Question Answering under Domain Shift
Amita Kamath
Robin Jia
Abigail Z. Jacobs
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245
244
0
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Misinformation Has High Perplexity
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Nayeon Lee
Yejin Bang
Andrea Madotto
Pascale Fung
169
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Language Models as Fact Checkers?
Language Models as Fact Checkers?
Nayeon Lee
Belinda Z. Li
Sinong Wang
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Hao Ma
Madian Khabsa
KELMHILMLRM
244
78
0
07 Jun 2020
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