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FEVER: a Large-scale Dataset for Fact Extraction and VERification., , , and . NAACL-HLT, page 809-819. Association for Computational Linguistics, (2018)Generating Token-Level Explanations for Natural Language Inference., , , and . NAACL-HLT (1), page 963-969. Association for Computational Linguistics, (2019)The Fact Extraction and VERification (FEVER) Shared Task., , , , and . CoRR, (2018)Evaluating adversarial attacks against multiple fact verification systems., , , and . EMNLP/IJCNLP (1), page 2944-2953. Association for Computational Linguistics, (2019)Elastic weight consolidation for better bias inoculation., and . EACL, page 957-964. Association for Computational Linguistics, (2021)Adversarial attacks against Fact Extraction and VERification., and . CoRR, (2019)An Extensible Framework for Verification of Numerical Claims., and . EACL (Software Demonstrations), page 37-40. Association for Computational Linguistics, (2017)Automated Fact Checking: Task Formulations, Methods and Future Directions., and . COLING, page 3346-3359. Association for Computational Linguistics, (2018)Fake news stance detection using stacked ensemble of classifiers., , , , , and . NLPmJ@EMNLP, page 80-83. Association for Computational Linguistics, (2017)A program for the syntactic analysis of English sentences., , and . Commun. ACM, 12 (8): 476-479 (1969)