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Fact verification (FV) is a challenging task which requires to retrieve relevant evidence from plain text and use the evidence to verify given claims.
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Yichen Gong, Heng Luo, and Jian Zhang. 2018 · 2018
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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
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Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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Compare, compress and propagate: Enhancing neural architectures with alignment factorization for natural language inference
Yi Tay, Anh Tuan Luu, and Siu Cheung Hui. 2018 · 2018
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Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2018 · 2018
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Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
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Team sweeper: Joint sentence extraction and fact checking with pointer networks
Christopher Hidey and Mona Diab. 2018 · 2018
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Qed: A fact verification system for the fever shared task
Jackson Luken, Nanjiang Jiang, and Marie-Catherine de Marneffe. 2018 · 2018
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Christopher Malon. 2018 · 2018
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Recurrent relational networks
Rasmus Palm, Ulrich Paquet, and Ole Winther. 2018 · 2018
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Reading Wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017a
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Enhanced lstm for natural language inference
Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, and Diana Inkpen. 2017b
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Recurrent neural network-based sentence encoder with gated attention for natural language inference
Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, and Diana Inkpen. 2017c
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Twowingos: A two-wing optimization strategy for evidential claim verification
Wenpeng Yin and Dan Roth. 2018 · 2018
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Ucl machine reading group: Four factor framework for fact finding (hexaf)
Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Combining fact extraction and verification with neural semantic matching networks
Yixin Nie, Haonan Chen, and Mohit Bansal. 2019 · 2019
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