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Data and Model Distillation as a Solution for Domain-transferable Fact Verification.

, , and . NAACL-HLT, page 4546-4552. Association for Computational Linguistics, (2021)

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Text Versus Paratext: Understanding Individuals' Accuracy in Assessing Online Information., and . HICSS, page 6228-6237. ScholarSpace, (2023)On Learning Bipolar Gradual Argumentation Semantics with Neural Networks., , , and . ICAART (2), page 493-499. SCITEPRESS, (2024)Understanding the Role of Nonverbal Tokens in the Spread of Online Information., , and . HICSS, page 5484-5493. ScholarSpace, (2023)How does Information Spread? An Exploratory Study of True and Fake News., , and . HICSS, page 1-10. ScholarSpace, (2020)Data and Model Distillation as a Solution for Domain-transferable Fact Verification., , and . NAACL-HLT, page 4546-4552. Association for Computational Linguistics, (2021)Towards the Necessity for Debiasing Natural Language Inference Datasets., , , , and . LREC, page 6883-6888. European Language Resources Association, (2020)Pictographs, Ideograms, and Emojis (PIE): A Framework for Empirical Research Using Non-verbal Cues., , and . HICSS, page 1-10. ScholarSpace, (2021)On the Importance of Delexicalization for Fact Verification., , , and . EMNLP/IJCNLP (1), page 3411-3416. Association for Computational Linguistics, (2019)Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification., , and . EMNLP (1), page 6968-6973. Association for Computational Linguistics, (2021)Identifying, Collecting, and Presenting Hacker Community Data: Forums, IRC, Carding Shops, and DNMs., , , , , , , , , and 1 other author(s). ISI, page 70-75. IEEE, (2018)