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MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification.

, , and . ACL, page 2147-2157. Association for Computational Linguistics, (2020)

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Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms., , , , and . NAACL-HLT (1), page 3620-3630. Association for Computational Linguistics, (2019)Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests., and . AAAI, page 12648-12656. AAAI Press, (2021)Controllable Conversation Generation with Conversation Structures via Diffusion Models., and . ACL (Findings), page 7238-7251. Association for Computational Linguistics, (2023)VALUE: Understanding Dialect Disparity in NLU., , , , and . ACL (1), page 3701-3720. Association for Computational Linguistics, (2022)MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification., , and . ACL, page 2147-2157. Association for Computational Linguistics, (2020)A Cheaper and Better Diffusion Language Model with Soft-Masked Noise., , , , and . EMNLP, page 4765-4775. Association for Computational Linguistics, (2023)Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs., and . NAACL-HLT, page 1380-1391. Association for Computational Linguistics, (2021)From Scroll to Misbelief: Modeling the Unobservable Susceptibility to Misinformation on Social Media., , , , , , , and . CoRR, (2023)An Empirical Survey of Data Augmentation for Limited Data Learning in NLP., , , , and . CoRR, (2021)HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability., , , and . ACL/IJCNLP (1), page 4380-4390. Association for Computational Linguistics, (2021)