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Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus.

, , , , , , and . EACL (Hackashop), page 1-7. Association for Computational Linguistics, (2021)

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Adaptive learning in practice, and . Journal of Economic Dynamics and Control, 31 (8): 2659--2697 (August 2007)Incorporating Stock Market Signals for Twitter Stance Detection., , , , , and . ACL (1), page 4074-4091. Association for Computational Linguistics, (2022)STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval., , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4086-4101. Association for Computational Linguistics, (2020)Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus., , , , , and . WASSA@EACL, page 181-187. Association for Computational Linguistics, (2021)Supply-side reforms and learning dynamics. Journal of Monetary Economics, 53 (2): 291--309 (March 2006)Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus., , , , , , and . EACL (Hackashop), page 1-7. Association for Computational Linguistics, (2021)Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter., , , , , and . ACL, page 1715-1724. Association for Computational Linguistics, (2020)