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Fact verification has attracted a lot of attention in the machine learning and natural language processing communities, as it is one of the key methods for detecting misinformation.
TabFact: A Large-scale Dataset for Table-based Fact Verification
Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, and William Yang Wang · 1909
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Integrating stance detection and fact checking in a unified corpus
Ramy Baly, Mitra Mohtarami, James Glass, Lluís Màrquez, Alessandro Moschitti, and Preslav Nakov · 2004
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The epistemology of fact checking
J. Uscinski and Ryden W. Butler · 2013
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Question answering systems: Survey and trends
Abdelghani Bouziane, Djelloul Bouchiha, Noureddine Doumi, and Mimoun Malki · 2015
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning · 2015
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The mythos of model interpretability
Zachary C Lipton · 2016
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Credibility assessment of textual claims on the web
Kashyap Popat, Subhabrata Mukherjee, Jannik Strötgen, and Gerhard Weikum · 2016
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Reading Wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes · 2017
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"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
William Yang Wang · 2017
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Where is your evidence: Improving fact-checking by justification modeling
Tariq Alhindi, Savvas Petridis, and Smaranda Muresan · 2018
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Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science
Emily M. Bender and Batya Friedman · 2018
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Understanding the promise and limits of automated fact-checking
Lucas Graves · 2018
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Automated fact checking: Task formulations, methods and future directions
James Thorne and Andreas Vlachos · 2018
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FEVER: A Large-scale Dataset for Fact Extraction and VERification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman · 2018
Cited alongside, same era.
Detection and resolution of rumours in social media
A. Zubiaga, A. Aker, Kalina Bontcheva, Maria Liakata, and R. Procter · 2018
Cited alongside, same era.
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 Hansen, and Jakob Grue Simonsen · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, and Matt Gardner · 2019
Cited alongside, same era.
Adversarial NLI: A new benchmark for natural language understanding
Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, and Douwe Kiela · 2020
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Unified open-domain question answering with structured and unstructured knowledge
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, and Scott Yih · 2020
Later among the works it cites.
Joint verification and reranking for open fact checking over tables
Michael Schlichtkrull, Vladimir Karpukhin, Barlas Oğuz, Mike Lewis, Wen-tau Yih, and Sebastian Riedel · 2020
Later among the works it cites.
The limitations of stylometry for detecting machine-generated fake news
Tal Schuster, Roei Schuster, Darsh J. Shah, and Regina Barzilay · 2020
Later among the works it cites.
Fact or fiction: Verifying scientific claims
David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi · 2020
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A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, and Iryna Gurevych · 2019
Cited alongside, same era.
Natural questions: A benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Matthew Kelcey, Jacob Devlin, Kenton Lee, Kristina N. Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov · 2019
Cited alongside, same era.
Towards debiasing fact verification models
Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, Daniel Roberto Filizzola Ortiz, Enrico Santus, and Regina Barzilay · 2019
Cited alongside, same era.
HybridQA: A dataset of multi-hop question answering over tabular and textual data
Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, and William Yang Wang · 2020
Cited alongside, same era.
INFOTABS: Inference on Tables as Semi-structured Data
Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, and Vivek Srikumar · 2020
Cited alongside, same era.
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Singh, and Mohit Bansal · 2020
Cited alongside, same era.
Stance prediction and claim verification: An Arabic perspective
Jude Khouja · 2020
Cited alongside, same era.
Later among the works it cites.
The fact extraction and verification over unstructured and structured information (feverous) shared task
Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, and Arpit Mittal · 2021
Closest in time.
Open question answering over tables and text
Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, and William W. Cohen · 2021
Closest in time.
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian, Massimiliano Ciaramita, and Markus Leippold · 2021
Closest in time.
A survey on stance detection for mis- and disinformation identification
Momchil Hardalov, Arnav Arora, Preslav Nakov, and Isabelle Augenstein · 2021
Closest in time.
Automated fact-checking for assisting human fact-checkers
Preslav Nakov, D. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, A. Barrón-Cedeño, Paolo Papotti, Shaden Shaar, and Giovanni Da San Martino · 2021
Closest in time.
Danfever: claim verification dataset for danish
Jeppe Nørregaard and Leon Derczynski · 2021
Closest in time.
Statement verification and evidence finding with tables, semeval 2021 (task 9)
Nancy (Xin Ru) Wang, Sara Rosenthal, and Marina Danilevsky · 2021
Closest in time.
Representations for question answering from documents with tables and text
Vicky Zayats, Kristina Toutanova, and Mari Ostendorf · 2021
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