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Chinese Song Iambics Generation with Neural Attention-Based Model.

, , , and . IJCAI, page 2943-2949. IJCAI/AAAI Press, (2016)

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The Rich Get Richer: Disparate Impact of Semi-Supervised Learning., , and . ICLR, OpenReview.net, (2022)Several Studies of Weakly Supervised Learning in Text Classification. University of California, Santa Cruz, USA, (2022)Chinese Song Iambics Generation with Neural Attention-Based Model., , , and . IJCAI, page 2943-2949. IJCAI/AAAI Press, (2016)Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model., , , , and . ISI, page 1-6. IEEE, (2021)Research on Information Dissemination of Public Health Events Based on WeChat: A Case Study of Avian Influenza., , and . ISI, page 221. IEEE, (2019)To Aggregate or Not? Learning with Separate Noisy Labels., , , , , and . CSW@WSDM, volume 3357 of CEUR Workshop Proceedings, page 8-43. CEUR-WS.org, (2023)Research Replication Prediction Using Weakly Supervised Learning., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 1464-1474. Association for Computational Linguistics, (2020)Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking., , , and . ACL (Findings), page 3864-3876. Association for Computational Linguistics, (2022)Named Entity Recognition for Epidemiological Investigation in COVID-19., , , , , and . ISI, page 1-6. IEEE, (2023)