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Most existing work on automated fact checking is concerned with predicting the veracity of claims based on metadata, social network spread, language used in claims, and, more recently, evidence supporting or denying claims.
Answering the Call for a Standard Reliability Measure for Coding Data
Andrew F Hayes and Klaus Krippendorff. 2007 · 2007
Earlier work this paper cites.
Cross-stitch networks for multi-task learning
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, and Martial Hebert. 2016 · 2016
Earlier work this paper cites.
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He. 2017 · 2017
Earlier work this paper cites.
Fake News Detection Through Multi-Perspective Speaker Profiles
Yunfei Long, Qin Lu, Rong Xiang, Minglei Li, and Chu-Ren Huang. 2017 · 2017
Earlier work this paper cites.
Fixing Weight Decay Regularization in Adam
Ilya Loshchilov and Frank Hutter. 2017 · 2017
Earlier work this paper cites.
SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017
Earlier work this paper cites.
“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection
William Yang Wang. 2017 · 2017
Earlier work this paper cites.
Sanity Checks for Saliency Maps
Julius Adebayo, Justin Gilmer, Michael Muelly, Ian Goodfellow, Moritz Hardt, and Been Kim. 2018 · 2018
Earlier work this paper cites.
Where is your evidence: Improving fact-checking by justification modeling
Tariq Alhindi, Savvas Petridis, and Smaranda Muresan. 2018 · 2018
Earlier work this paper cites.
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, and Phil Blunsom. 2018 · 2018
Earlier work this paper cites.
Robust document retrieval and individual evidence modeling for fact extraction and verification
Tuhin Chakrabarty, Tariq Alhindi, and Smaranda Muresan. 2018 · 2018
Cited alongside, same era.
UKP-athene: Multi-sentence textual entailment for claim verification
Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, and Iryna Gurevych. 2018 · 2018
Cited alongside, same era.
Multi-source multi-class fake news detection
Hamid Karimi, Proteek Roy, Sari Saba-Sadiya, and Jiliang Tang. 2018 · 2018
Cited alongside, same era.
Detect Rumor and Stance Jointly by Neural Multi-task Learning
Jing Ma, Wei Gao, and Kam-Fai Wong. 2018 · 2018
Cited alongside, same era.
Team papelo: Transformer networks at FEVER
Christopher Malon. 2018 · 2018
Cited alongside, same era.
Automatic stance detection using end-to-end memory networks
Mitra Mohtarami, Ramy Baly, James Glass, Preslav Nakov, Lluís Màrquez, and Alessandro Moschitti. 2018 · 2018
Evaluating recurrent neural network explanations
Leila Arras, Ahmed Osman, Klaus-Robert Müller, and Wojciech Samek. 2019 · 2019
Later among the works it cites.
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 · 2019
Later among the works it cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
Text Summarization with Pretrained Encoders
Yang Liu and Mirella Lapata. 2019 · 2019
Later among the works it cites.
Explain yourself! leveraging language models for commonsense reasoning
Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, and Richard Socher. 2019 · 2019
Later among the works it cites.
Latent Multi-Task Architecture Learning
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Cited alongside, same era.
Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement
Nina Poerner, Hinrich Schütze, and Benjamin Roth. 2018 · 2018
Cited alongside, same era.
FEVER: a large-scale dataset for fact extraction and VERification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
Cited alongside, same era.
Adversarial Domain Adaptation for Stance Detection
Brian Xu, Mitra Mohtarami, and James R. Glass. 2018 · 2018
Cited alongside, same era.
UCL machine reading group: Four factor framework for fact finding (HexaF)
Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
Cited alongside, same era.
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, and Anders Søgaard. 2019 · 2019
Later among the works it cites.
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019 · 2019
Later among the works it cites.
dEFEND: Explainable Fake News Detection
Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, and Huan Liu. 2019 · 2019
Later among the works it cites.
Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task
Dominik Stammbach and Guenter Neumann. 2019 · 2019
Later among the works it cites.
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, and Xia Hu. 2019 · 2019
Later among the works it cites.