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Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests., и . AAAI, стр. 12648-12656. AAAI Press, (2021)Controllable Conversation Generation with Conversation Structures via Diffusion Models., и . ACL (Findings), стр. 7238-7251. Association for Computational Linguistics, (2023)Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms., , , , и . NAACL-HLT (1), стр. 3620-3630. Association for Computational Linguistics, (2019)MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification., , и . ACL, стр. 2147-2157. Association for Computational Linguistics, (2020)VALUE: Understanding Dialect Disparity in NLU., , , , и . ACL (1), стр. 3701-3720. Association for Computational Linguistics, (2022)A Cheaper and Better Diffusion Language Model with Soft-Masked Noise., , , , и . EMNLP, стр. 4765-4775. Association for Computational Linguistics, (2023)Continual Learning for Text Classification with Information Disentanglement Based Regularization., , , , и . NAACL-HLT, стр. 2736-2746. Association for Computational Linguistics, (2021)Where Does Your News Come From? Predicting Information Pathways in Social Media., , , , , и . SIGIR, стр. 2511-2515. ACM, (2023)When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain., , , , , , , , , и . EMNLP, стр. 2322-2335. Association for Computational Linguistics, (2022)Examining the Ordering of Rhetorical Strategies in Persuasive Requests., , , , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 1299-1306. Association for Computational Linguistics, (2020)