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

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

14 March 2018
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
    HILM
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Papers citing "FEVER: a large-scale dataset for Fact Extraction and VERification"

50 / 368 papers shown
Title
Hindsight: Posterior-guided training of retrievers for improved
  open-ended generation
Hindsight: Posterior-guided training of retrievers for improved open-ended generation
Ashwin Paranjape
Omar Khattab
Christopher Potts
Matei A. Zaharia
Christopher D. Manning
RALM
72
43
0
14 Oct 2021
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant
  Representations
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Ji Xin
Chenyan Xiong
A. Srinivasan
Ankita Sharma
Damien Jose
Paul N. Bennett
VLM
83
41
0
14 Oct 2021
Mention Memory: incorporating textual knowledge into Transformers
  through entity mention attention
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
Michiel de Jong
Yury Zemlyanskiy
Nicholas FitzGerald
Fei Sha
William W. Cohen
RALM
29
46
0
12 Oct 2021
Explainable Fact-checking through Question Answering
Explainable Fact-checking through Question Answering
Jing Yang
D. Vega-Oliveros
Taís Seibt
Anderson de Rezende Rocha
HILM
27
14
0
11 Oct 2021
Towards Continual Knowledge Learning of Language Models
Towards Continual Knowledge Learning of Language Models
Joel Jang
Seonghyeon Ye
Sohee Yang
Joongbo Shin
Janghoon Han
Gyeonghun Kim
Stanley Jungkyu Choi
Minjoon Seo
CLL
KELM
233
151
0
07 Oct 2021
ContractNLI: A Dataset for Document-level Natural Language Inference for
  Contracts
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Yuta Koreeda
Christopher D. Manning
AILaw
94
99
0
05 Oct 2021
Perhaps PTLMs Should Go to School -- A Task to Assess Open Book and
  Closed Book QA
Perhaps PTLMs Should Go to School -- A Task to Assess Open Book and Closed Book QA
Manuel R. Ciosici
Joe Cecil
Alex Hedges
Dong-Ho Lee
Marjorie Freedman
R. Weischedel
33
9
0
04 Oct 2021
Automated Fact-Checking: A Survey
Automated Fact-Checking: A Survey
Xia Zeng
Amani S. Abumansour
A. Zubiaga
HILM
189
95
0
23 Sep 2021
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy
  Claims, Previously Fact-Checked Claims, and Fake News
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
Preslav Nakov
Giovanni Da San Martino
Tamer Elsayed
Alberto Barrón-Cedeño
Rubén Míguez
...
Gautam Kishore Shahi
Julia Maria Struß
Thomas Mandl
Mucahid Kutlu
Yavuz Selim Kartal
79
92
0
23 Sep 2021
Exploring Decomposition for Table-based Fact Verification
Exploring Decomposition for Table-based Fact Verification
Xiaoyu Yang
Xiao-Dan Zhu
ReLM
56
22
0
22 Sep 2021
Scalable Fact-checking with Human-in-the-Loop
Scalable Fact-checking with Human-in-the-Loop
Jing Yang
D. Vega-Oliveros
Taís Seibt
Anderson de Rezende Rocha
22
10
0
22 Sep 2021
Assessing the quality of sources in Wikidata across languages: a hybrid
  approach
Assessing the quality of sources in Wikidata across languages: a hybrid approach
Gabriel Amaral
A. Piscopo
Lucie-Aimée Kaffee
Odinaldo Rodrigues
Elena Simperl
HILM
36
17
0
20 Sep 2021
Knowledge-Enhanced Evidence Retrieval for Counterargument Generation
Knowledge-Enhanced Evidence Retrieval for Counterargument Generation
Yohan Jo
Haneul Yoo
Jinyeong Bak
Alice Oh
Chris Reed
Eduard H. Hovy
RALM
40
12
0
19 Sep 2021
Phrase Retrieval Learns Passage Retrieval, Too
Phrase Retrieval Learns Passage Retrieval, Too
Jinhyuk Lee
Alexander Wettig
Danqi Chen
RALM
DML
30
46
0
16 Sep 2021
KFCNet: Knowledge Filtering and Contrastive Learning Network for
  Generative Commonsense Reasoning
KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning
Haonan Li
Yeyun Gong
Jian Jiao
Ruofei Zhang
Timothy Baldwin
Nan Duan
OffRL
60
6
0
14 Sep 2021
Logic-level Evidence Retrieval and Graph-based Verification Network for
  Table-based Fact Verification
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification
Qi Shi
Yu Zhang
Qingyu Yin
Ting Liu
43
19
0
14 Sep 2021
Graph-based Retrieval for Claim Verification over Cross-Document
  Evidence
Graph-based Retrieval for Claim Verification over Cross-Document Evidence
M. Mongiovì
Aldo Gangemi
17
0
0
13 Sep 2021
Debiasing Methods in Natural Language Understanding Make Bias More
  Accessible
Debiasing Methods in Natural Language Understanding Make Bias More Accessible
Michael J. Mendelson
Yonatan Belinkov
45
23
0
09 Sep 2021
TruthfulQA: Measuring How Models Mimic Human Falsehoods
TruthfulQA: Measuring How Models Mimic Human Falsehoods
Stephanie C. Lin
Jacob Hilton
Owain Evans
HILM
57
1,750
0
08 Sep 2021
Diagnostics-Guided Explanation Generation
Diagnostics-Guided Explanation Generation
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
LRM
FAtt
43
6
0
08 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training
End-to-End Self-Debiasing Framework for Robust NLU Training
Abbas Ghaddar
Philippe Langlais
Mehdi Rezagholizadeh
Ahmad Rashid
UQCV
34
36
0
05 Sep 2021
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge
Yasumasa Onoe
Michael J.Q. Zhang
Eunsol Choi
Greg Durrett
HILM
40
85
0
03 Sep 2021
Semi-Supervised Exaggeration Detection of Health Science Press Releases
Semi-Supervised Exaggeration Detection of Health Science Press Releases
Dustin Wright
Isabelle Augenstein
38
12
0
30 Aug 2021
A Survey on Automated Fact-Checking
A Survey on Automated Fact-Checking
Zhijiang Guo
M. Schlichtkrull
Andreas Vlachos
29
460
0
26 Aug 2021
ProoFVer: Natural Logic Theorem Proving for Fact Verification
ProoFVer: Natural Logic Theorem Proving for Fact Verification
Amrith Krishna
Sebastian Riedel
Andreas Vlachos
26
62
0
25 Aug 2021
Context-aware Adversarial Training for Name Regularity Bias in Named
  Entity Recognition
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition
Abbas Ghaddar
Philippe Langlais
Ahmad Rashid
Mehdi Rezagholizadeh
39
43
0
24 Jul 2021
Overview and Insights from the SciVer Shared Task on Scientific Claim
  Verification
Overview and Insights from the SciVer Shared Task on Scientific Claim Verification
David Wadden
Kyle Lo
69
11
0
17 Jul 2021
FaVIQ: FAct Verification from Information-seeking Questions
FaVIQ: FAct Verification from Information-seeking Questions
Jungsoo Park
Sewon Min
Jaewoo Kang
Luke Zettlemoyer
Hannaneh Hajishirzi
HILM
42
37
0
05 Jul 2021
On the Diversity and Limits of Human Explanations
On the Diversity and Limits of Human Explanations
Chenhao Tan
19
31
0
22 Jun 2021
DocNLI: A Large-scale Dataset for Document-level Natural Language
  Inference
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference
Wenpeng Yin
Dragomir R. Radev
Caiming Xiong
HILM
26
97
0
17 Jun 2021
X-FACT: A New Benchmark Dataset for Multilingual Fact Checking
X-FACT: A New Benchmark Dataset for Multilingual Fact Checking
Ashim Gupta
Vivek Srikumar
HILM
20
97
0
17 Jun 2021
FEVEROUS: Fact Extraction and VERification Over Unstructured and
  Structured information
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
Rami Aly
Zhijiang Guo
M. Schlichtkrull
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
O. Cocarascu
Arpit Mittal
HILM
27
174
0
10 Jun 2021
Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study
  of the 2019 Indian Election on WhatsApp
Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian Election on WhatsApp
Ashkan Kazemi
Kiran Garimella
Gautam Kishore Shahi
Devin Gaffney
Scott A. Hale
39
13
0
08 Jun 2021
On the Efficacy of Adversarial Data Collection for Question Answering:
  Results from a Large-Scale Randomized Study
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
Divyansh Kaushik
Douwe Kiela
Zachary Chase Lipton
Wen-tau Yih
AAML
11
36
0
02 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for
  Feature Importance Explanations
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations
Peter Hase
Harry Xie
Joey Tianyi Zhou
OODD
LRM
FAtt
29
91
0
01 Jun 2021
Wiki-Reliability: A Large Scale Dataset for Content Reliability on
  Wikipedia
Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia
KayYen Wong
Miriam Redi
Diego Sáez-Trumper
KELM
18
12
0
10 May 2021
A Knowledge Enhanced Learning and Semantic Composition Model for
  Multi-Claim Fact Checking
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
Shuai Wang
Penghui Wei
Jiahao Zhao
Wenji Mao
KELM
32
0
0
27 Apr 2021
Hidden Biases in Unreliable News Detection Datasets
Hidden Biases in Unreliable News Detection Datasets
Xiang Zhou
Heba Elfardy
Christos Christodoulopoulos
Thomas Butler
Joey Tianyi Zhou
22
15
0
20 Apr 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
223
180
0
18 Apr 2021
Can NLI Models Verify QA Systems' Predictions?
Can NLI Models Verify QA Systems' Predictions?
Jifan Chen
Eunsol Choi
Greg Durrett
37
54
0
18 Apr 2021
A Token-level Reference-free Hallucination Detection Benchmark for
  Free-form Text Generation
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Tianyu Liu
Yizhe Zhang
Chris Brockett
Yi Mao
Zhifang Sui
Weizhu Chen
W. Dolan
HILM
228
144
0
18 Apr 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information
  Retrieval Models
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur
Nils Reimers
Andreas Rucklé
Abhishek Srivastava
Iryna Gurevych
VLM
270
977
0
17 Apr 2021
Editing Factual Knowledge in Language Models
Editing Factual Knowledge in Language Models
Nicola De Cao
Wilker Aziz
Ivan Titov
KELM
68
478
0
16 Apr 2021
Annotating and Modeling Fine-grained Factuality in Summarization
Annotating and Modeling Fine-grained Factuality in Summarization
Tanya Goyal
Greg Durrett
HILM
21
153
0
09 Apr 2021
Dynabench: Rethinking Benchmarking in NLP
Dynabench: Rethinking Benchmarking in NLP
Douwe Kiela
Max Bartolo
Yixin Nie
Divyansh Kaushik
Atticus Geiger
...
Pontus Stenetorp
Robin Jia
Joey Tianyi Zhou
Christopher Potts
Adina Williams
24
392
0
07 Apr 2021
Towards Few-Shot Fact-Checking via Perplexity
Towards Few-Shot Fact-Checking via Perplexity
Nayeon Lee
Yejin Bang
Andrea Madotto
Madian Khabsa
Pascale Fung
AAML
13
90
0
17 Mar 2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
Tal Schuster
Adam Fisch
Regina Barzilay
39
228
0
15 Mar 2021
Claim Verification using a Multi-GAN based Model
Claim Verification using a Multi-GAN based Model
Amartya Hatua
Arjun Mukherjee
Rakesh M. Verma
SyDa
31
2
0
14 Mar 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU
  Models
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models
Mengnan Du
Varun Manjunatha
R. Jain
Ruchi Deshpande
Franck Dernoncourt
Jiuxiang Gu
Tong Sun
Xia Hu
62
106
0
11 Mar 2021
Simplified Data Wrangling with ir_datasets
Simplified Data Wrangling with ir_datasets
Sean MacAvaney
Andrew Yates
Sergey Feldman
Doug Downey
Arman Cohan
Nazli Goharian
38
108
0
03 Mar 2021
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