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Automating the fact checking (FC) process relies on information obtained from external sources.
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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Syntactic units and operations
Paul L Garvin. 1958 · 1958
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Syntax: A Linguistic Introduction to Sentence Structure
Keith Brown, Jim Miller, and James Edward Miller. 1991 · 1991
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The Cambridge grammar of the English language
Rodney Huddleston and Geoffrey Pullum. 2005 · 2005
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Tri-training: Exploiting unlabeled data using three classifiers
Zhi-Hua Zhou and Ming Li. 2005 · 2005
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English news text treebank: Penn treebank revised
Ann Bies, Justin Mott, and Colin Warner. 2015 · 2015
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Skip-thought vectors
Ryan Kiros, Yukun Zhu, Russ R Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2015
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Analysing sentences: An introduction to English syntax
Noel Burton-Roberts. 2016 · 2016
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A decomposable attention model for natural language inference
Ankur Parikh, Oscar Täckström, Dipanjan Das, and Jakob Uszkoreit. 2016 · 2016
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Adversarial example generation with syntactically controlled paraphrase networks
Mohit Iyyer, John Wieting, Kevin Gimpel, and Luke Zettlemoyer. 2018 · 2018
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Kbcnn: A knowledge base completion model based on convolutional neural networks
Jiho Kim, Kijong Han, and Key-Sun Choi. 2018 · 2018
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Constituency parsing with a self-attentive encoder
Nikita Kitaev and Dan Klein. 2018 · 2018
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Noise contrastive estimation and negative sampling for conditional models: Consistency and statistical efficiency
Zhuang Ma and Michael Collins. 2018 · 2018
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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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GLUE: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2018 · 2018
Cited alongside, same era.
Introducing English Grammar
Kersti Börjars and Kate Burridge. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Neural relation extraction for knowledge base enrichment
Bayu Distiawan, Gerhard Weikum, Jianzhong Qi, and Rui Zhang. 2019 · 2019
Cited alongside, same era.
GEM: Generative enhanced model for adversarial attacks
Piotr Niewinski, Maria Pszona, and Maria Janicka. 2019 · 2019
Cited alongside, same era.
Towards debiasing fact verification models
Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, Daniel Roberto Filizzola Ortiz, Enrico Santus, and Regina Barzilay. 2019 · 2019
Climate-FEVER: A Dataset for Verification of Real-World Climate Claims
Markus Leippold and Thomas Diggelmann. 2020 · 2020
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Learning what makes a difference from counterfactual examples and gradient supervision
Damien Teney, Ehsan Abbasnedjad, and Anton van den Hengel. 2020 · 2020
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Towards Explainable Fact Checking
Isabelle Augenstein. 2021 · 2021
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Amnesic probing: Behavioral explanation with amnesic counterfactuals
Yanai Elazar, Shauli Ravfogel, Alon Jacovi, and Yoav Goldberg. 2021 · 2021
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Fact checking in knowledge graphs by logical consistency
Ji-Seong Kim and Key-Sun Choi. 2021 · 2021
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Cited alongside, same era.
Evaluating adversarial attacks against multiple fact verification systems
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2019 · 2019
Cited alongside, same era.
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2019 · 2019
Cited alongside, same era.
Conditional BERT Contextual Augmentation
Xing Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, and Songlin Hu. 2019 · 2019
Cited alongside, same era.
Generating label cohesive and well-formed adversarial claims
Pepa Atanasova, Dustin Wright, and Isabelle Augenstein. 2020 · 2020
Cited alongside, same era.
MixText: Linguistically-informed interpolation of hidden space for semi-supervised text classification
Jiaao Chen, Zichao Yang, and Diyi Yang. 2020 · 2020
Cited alongside, same era.
DeSePtion: Dual sequence prediction and adversarial examples for improved fact-checking
Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona Diab, and Smaranda Muresan. 2020 · 2020
Cited alongside, same era.
Nishtha Madaan, Inkit Padhi, Naveen Panwar, and Diptikalyan Saha. 2021 · 2021
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Multi-hop fact checking of political claims
Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, and Isabelle Augenstein. 2021 · 2021
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CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, and Jiawei Han. 2021 · 2021
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Nils Rethmeier and Isabelle Augenstein. 2021 · 2021
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Call me sexist, but…: Revisiting sexism detection using psychological scales and adversarial samples
Mattia Samory, Indira Sen, Julian Kohne, Fabian Flöck, and Claudia Wagner. 2021 · 2021
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Get your vitamin C! robust fact verification with contrastive evidence
Tal Schuster, Adam Fisch, and Regina Barzilay. 2021 · 2021
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Evidence-based factual error correction
James Thorne and Andreas Vlachos. 2021 · 2021
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Neighborhood contrastive learning for scientific document representations with citation embeddings
Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, and Georg Rehm. 2022 · 2022
Closest in time.
Long-tail zero and few-shot learning via contrastive pretraining on and for small data
Nils Rethmeier and Isabelle Augenstein. 2022 · 2022
Closest in time.
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, and Lucy Lu Wang. 2022 · 2022
Closest in time.