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Verifying the correctness of a textual statement requires not only semantic reasoning about the meaning of words, but also symbolic reasoning about logical operations like count, superlative, aggregation, etc.
Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 1905
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Answering conversational questions on structured data without logical forms
Thomas Müller, Francesco Piccinno, Massimo Nicosia, Peter Shaw, and Yasemin Altun. 2019 · 1908
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Fact-checking meets fauxtography: Verifying claims about images
Dimitrina Zlatkova, Preslav Nakov, and Ivan Koychev. 2019 · 1908
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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. 2019 · 1909
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Ctrl: A conditional transformer language model for controllable generation
Nitish Shirish Keskar, Bryan McCann, Lav R Varshney, Caiming Xiong, and Richard Socher. 2019 · 1909
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Evaluating the factual consistency of abstractive text summarization
Wojciech Kryściński, Bryan McCann, Caiming Xiong, and Richard Socher. 2019 · 1910
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Vaibhav Vaibhav, Raghuram Mandyam Annasamy, and Eduard Hovy. 2019 · 1910
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r/fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection
Kai Nakamura, Sharon Levy, and William Yang Wang. 2019 · 1911
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Optimizing the factual correctness of a summary: A study of summarizing radiology reports
Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D Manning, and Curtis P Langlotz. 2019 · 1911
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Composition in distributional models of semantics
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Semantic parsing on freebase from question-answer pairs
Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013 · 2013
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Parsing with compositional vector grammars
Richard Socher, John Bauer, Christopher D Manning, and Andrew Y Ng. 2013 · 2013
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Deep compositional question answering with neural module networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein. 2015 · 2015
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Partisanship, propaganda, and disinformation: Online media and the 2016 us presidential election
Robert Faris, Hal Roberts, Bruce Etling, Nikki Bourassa, Ethan Zuckerman, and Yochai Benkler. 2017 · 2016
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Learning executable semantic parsers for natural language understanding
Percy Liang. 2016 · 2016
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Sequence-to-action: End-to-end semantic graph generation for semantic parsing
Bo Chen, Le Sun, and Xianpei Han. 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. 2018 · 2018
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Dialog-to-action: conversational question answering over a large-scale knowledge base
Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, and Jian Yin. 2018 · 2018
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Mapping language to code in programmatic context
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, and Luke Zettlemoyer. 2018 · 2018
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Policy shaping and generalized update equations for semantic parsing from denotations
Dipendra Misra, Ming-Wei Chang ad Xiaodong He, and Wen tau Yih. 2018 · 2018
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Assessing the factual accuracy of generated text
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Language models are unsupervised multitask learners
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