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Debunking misinformation is an important and time-critical task as there could be adverse consequences when misinformation is not quashed promptly.
Fake news detection on social media using geometric deep learning
Federico Monti, Fabrizio Frasca, Davide Eynard, Damon Mannion, and Michael M Bronstein. 2019 · 1902
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H Miller, and Sebastian Riedel. 2019 · 1909
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R’emi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 1910
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Foundations of statistical natural language processing
Christopher D Manning, Christopher D Manning, and Hinrich Schütze. 1999 · 1999
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Realm: Retrieval-augmented language model pre-training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang. 2020 · 2002
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How much knowledge can you pack into the parameters of a language model?
Adam Roberts, Colin Raffel, and Noam Shazeer. 2020 · 2002
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A neural probabilistic language model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin. 2003 · 2003
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Open information extraction from the web
Oren Etzioni, Michele Banko, Stephen Soderland, and Daniel S. Weld. 2008 · 2008
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Web-based statistical fact checking of textual documents
Amr Magdy and Nayer Wanas. 2010 · 2010
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Toward computational fact-checking
You Wu, Pankaj K Agarwal, Chengkai Li, Jun Yang, and Cong Yu. 2014 · 2014
Cited alongside, same era.
Computational fact checking from knowledge networks
Giovanni Luca Ciampaglia, Prashant Shiralkar, Luis M Rocha, Johan Bollen, Filippo Menczer, and Alessandro Flammini. 2015 · 2015
Cited alongside, same era.
Fake news detection through multi-perspective speaker profiles
Yunfei Long, Qin Lu, Rong Xiang, Minglei Li, and Chu-Ren Huang. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
” liar, liar pants on fire”: A new benchmark dataset for fake news detection
William Yang Wang. 2017 · 2017
Cited alongside, same era.
Where is your evidence: Improving fact-checking by justification modeling
Exploiting a speaker’s credibility to detect fake news
Angelika Kirilin and Micheal Strube. 2018 · 2018
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Improving large-scale fact-checking using decomposable attention models and lexical tagging
Nayeon Lee, Chien-Sheng Wu, and Pascale Fung. 2018 · 2018
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Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Declare: Debunking fake news and false claims using evidence-aware deep learning
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, and Gerhard Weikum. 2018 · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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Tariq Alhindi, Savvas Petridis, and Smaranda Muresan. 2018 · 2018
Cited alongside, same era.
Integrating stance detection and fact checking in a unified corpus
Ramy Baly, Mitra Mohtarami, James Glass, Lluís Màrquez, Alessandro Moschitti, and Preslav Nakov. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 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.
UCL machine reading group: Four factor framework for fact finding (HexaF)
Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, and Sebastian Riedel. 2018a
Cited in the paper.
”UCL machine reading group: Four factor framework for fact finding (HexaF)”
Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, and Sebastian Riedel. 2018b
Cited in the paper.
Understanding user profiles on social media for fake news detection
Kai Shu, Suhang Wang, and Huan Liu. 2018 · 2018
Later among the works it cites.
Fever: a large-scale dataset for fact extraction and verification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
Later among the works it cites.
Combining fact extraction and verification with neural semantic matching networks
Yixin Nie, Haonan Chen, and Mohit Bansal. 2019 · 2019
Later among the works it cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Man fatally poisons himself while self-medicating for coronavirus, doctor says
Neil Vigdor. 2020 · 2020
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