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"

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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 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 Peter Hase Harry Xie Joey Tianyi Zhou OODD LRM FAtt 18 91 0 01 Jun 2021
Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia KayYen Wong Miriam Redi Diego Sáez-Trumper KELM 10 12 0 10 May 2021
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 Qinyuan Ye Bill Yuchen Lin Xiang Ren 217 180 0 18 Apr 2021
Can NLI Models Verify QA Systems' Predictions? Jifan Chen Eunsol Choi Greg Durrett 25 54 0 18 Apr 2021
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 228 143 0 18 Apr 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 234 971 0 17 Apr 2021
Editing Factual Knowledge in Language Models Nicola De Cao Wilker Aziz Ivan Titov KELM 59 474 0 16 Apr 2021
Annotating and Modeling Fine-grained Factuality in Summarization Tanya Goyal Greg Durrett HILM 15 153 0 09 Apr 2021
Towards Few-Shot Fact-Checking via Perplexity Nayeon Lee Yejin Bang Andrea Madotto Madian Khabsa Pascale Fung AAML 13 90 0 17 Mar 2021
Claim Verification using a Multi-GAN based Model Amartya Hatua Arjun Mukherjee Rakesh M. Verma SyDa 23 2 0 14 Mar 2021
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 57 105 0 11 Mar 2021
Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection Nguyen Vo Kyumin Lee EgoV 20 41 0 04 Feb 2021
COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning Shivangi Aneja C. Bregler Matthias Nießner SSL 58 48 0 15 Jan 2021
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval Omar Khattab Christopher Potts Matei A. Zaharia RALM LRM 27 55 0 02 Jan 2021
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering Najoung Kim Ellie Pavlick Burcu Karagol Ayan Deepak Ramachandran 70 43 0 02 Jan 2021
Evidence-based Factual Error Correction James Thorne Andreas Vlachos KELM OffRL 24 54 0 31 Dec 2020
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection Anna Glazkova Maksim Glazkov T. Trifonov 24 58 0 22 Dec 2020
Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism Denisa A.O. Roberts 43 3 0 16 Dec 2020
Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking Rutvik Vijjali Prathyush Potluri S. Kumar Sundeep Teki MedIm 26 74 0 26 Nov 2020
Generating Fact Checking Briefs Angela Fan Aleksandra Piktus Fabio Petroni Guillaume Wenzek Marzieh Saeidi Andreas Vlachos Antoine Bordes Sebastian Riedel HILM 16 57 0 10 Nov 2020
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems Craig Thomson Ehud Reiter 16 52 0 08 Nov 2020
Machine Generation and Detection of Arabic Manipulated and Fake News El Moatez Billah Nagoudi AbdelRahim Elmadany Muhammad Abdul-Mageed Tariq Alhindi H. Cavusoglu DeLMO 24 50 0 05 Nov 2020
ANLIzing the Adversarial Natural Language Inference Dataset Adina Williams Tristan Thrush Douwe Kiela AAML 174 46 0 24 Oct 2020
Explainable Automated Fact-Checking for Public Health Claims Neema Kotonya Francesca Toni 218 249 0 19 Oct 2020
Neural Databases James Thorne Majid Yazdani Marzieh Saeidi Fabrizio Silvestri Sebastian Riedel A. Halevy NAI 31 9 0 14 Oct 2020
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 239 611 0 13 Oct 2020
Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations Emily Allaway Kathleen McKeown 19 177 0 07 Oct 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 27 25 0 07 Oct 2020
Autoregressive Entity Retrieval Nicola De Cao Gautier Izacard Sebastian Riedel Fabio Petroni 62 430 0 02 Oct 2020
Multi-Hop Fact Checking of Political Claims W. Ostrowski Arnav Arora Pepa Atanasova Isabelle Augenstein LRM 27 38 0 10 Sep 2020
Time-Aware Evidence Ranking for Fact-Checking Liesbeth Allein Isabelle Augenstein Marie-Francine Moens HILM 19 17 0 10 Sep 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 29 37 0 27 May 2020
That is a Known Lie: Detecting Previously Fact-Checked Claims Shaden Shaar Giovanni Da San Martino Nikolay Babulkov Preslav Nakov HILM 52 154 0 12 May 2020
A Deep Learning Approach for Automatic Detection of Fake News Tanik Saikh Arkadipta De Asif Ekbal P. Bhattacharyya 17 33 0 11 May 2020
Elastic weight consolidation for better bias inoculation James Thorne Andreas Vlachos 22 11 0 29 Apr 2020
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 32 55 0 28 Apr 2020
Adversarial Training for Large Neural Language Models Xiaodong Liu Hao Cheng Pengcheng He Weizhu Chen Yu-Chiang Frank Wang Hoifung Poon Jianfeng Gao AAML 28 183 0 20 Apr 2020
Generating Fact Checking Explanations Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein 19 188 0 13 Apr 2020
Link Prediction using Graph Neural Networks for Master Data Management Balaji Ganesan Srinivas Parkala Neeraj R Singh Sumit Bhatia Gayatri Mishra Matheen Ahmed Pasha Hima Patel Somashekar Naganna AI4CE 35 11 0 07 Mar 2020
How Decoding Strategies Affect the Verifiability of Generated Text Luca Massarelli Fabio Petroni Aleksandra Piktus Myle Ott Tim Rocktaschel Vassilis Plachouras Fabrizio Silvestri Sebastian Riedel 23 50 0 09 Nov 2019
Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher HILM 16 727 0 28 Oct 2019
BERT for Evidence Retrieval and Claim Verification Shrishti Saha Shetu Christof Monz E. Mabande RALM 17 119 0 07 Oct 2019
Learning from Fact-checkers: Analysis and Generation of Fact-checking Language Nguyen Vo Kyumin Lee 9 68 0 05 Oct 2019
Automatic Fact-guided Sentence Modification Darsh J. Shah Tal Schuster Regina Barzilay KELM 16 40 0 30 Sep 2019
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 185 165 0 09 Sep 2019
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction S. Vasileva Pepa Atanasova Lluís Màrquez i Villodre Alberto Barrón-Cedeño Preslav Nakov 21 46 0 19 Aug 2019
Towards Debiasing Fact Verification Models Tal Schuster Darsh J. Shah Yun Jie Serene Yeo Daniel Filizzola Enrico Santus Regina Barzilay 16 209 0 14 Aug 2019