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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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Neural Morphological Tagging of Lemma Sequences for Machine Translation., , and . AMTA (1), page 39-53. Association for Machine Translation in the Americas, (2018)Croissant: A Metadata Format for ML-Ready Datasets., , , , , , , , , and 9 other author(s). CoRR, (2024)Neural architectures for open-type relation argument extraction., , , , and . Nat. Lang. Eng., 25 (2): 219-238 (2019)Integrating Transformers and Knowledge Graphs for Twitter Stance Detection., , , , , and . W-NUT, page 304-312. Association for Computational Linguistics, (2021)Incorporating Stock Market Signals for Twitter Stance Detection., , , , , and . ACL (1), page 4074-4091. Association for Computational Linguistics, (2022)FBK's Neural Machine Translation Systems for IWSLT 2016., , , , , , , , , and . IWSLT, International Workshop on Spoken Language Translation, (2016)Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus., , , , , , and . EACL (Hackashop), page 1-7. Association for Computational Linguistics, (2021)Building Representative Corpora from Illiterate Communities: A Reviewof Challenges and Mitigation Strategies for Developing Countries., , , and . EACL, page 2176-2189. Association for Computational Linguistics, (2021)At the Intersection of NLP and Sustainable Development: Exploring the Impact of Demographic-Aware Text Representations in Modeling Value on a Corpus of Interviews., , and . LREC, page 2007-2021. European Language Resources Association, (2022)Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter., , , , , and . ACL, page 1715-1724. Association for Computational Linguistics, (2020)