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Determining whether a given claim is supported by evidence is a fundamental NLP problem that is best modeled as Textual Entailment.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. 1998 · 1998
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Yago: a core of semantic knowledge
Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum. 2007 · 2007
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Freebase: a collaboratively created graph database for structuring human knowledge
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008 · 2008
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A framework for entailed relation recognition
Dan Roth, Mark Sammons, and V. G. Vinod Vydiswaran. 2009 · 2009
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Adaptive subgradient methods for online learning and stochastic optimization
John Duchi, Elad Hazan, and Yoram Singer. 2011 · 2011
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Content-driven trust propagation framework
V. G. Vinod Vydiswaran, ChengXiang Zhai, and Dan Roth. 2011 · 2011
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A comparison of vector-based representations for semantic composition
William Blacoe and Mirella Lapata. 2012 · 2012
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Recognizing textual entailment: Models and applications
Ido Dagan, Dan Roth, Mark Sammons, and Fabio Massimo Zanzoto. 2013 · 2013
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Learning whom to trust with MACE
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Distributed representations of words and phrases and their compositionality
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Naturalli: Natural logic inference for common sense reasoning
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Importance sampling for unbiased on-demand evaluation of knowledge base population
Arun Tejasvi Chaganty, Ashwin Paranjape, Percy Liang, and Christopher D. Manning. 2017 · 2017
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Reading wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
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Automated historical fact-checking by passage retrieval, word statistics, and virtual question-answering
Mio Kobayashi, Ai Ishii, Chikara Hoshino, Hiroshi Miyashita, and Takuya Matsuzaki. 2017 · 2017
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A simple but tough-to-beat baseline for the fake news challenge stance detection task
Benjamin Riedel, Isabelle Augenstein, Georgios P. Spithourakis, and Sebastian Riedel. 2017 · 2017
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“Liar, Liar Pants on Fire”: A new benchmark dataset for fake news detection
William Yang Wang. 2017 · 2017
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Wenpeng Yin, Sebastian Ebert, and Hinrich Schütze. 2016 · 2016
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Wenpeng Yin and Hinrich Schütze. 2017 · 2017
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FEVER: a large-scale dataset for fact extraction and verification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
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R 3 {}^{\mbox{3}} : Reinforced ranker-reader for open-domain question answering
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