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Bridging the domain gap in cross-lingual document classification., , , и . CoRR, (2019)Improving In-Context Few-Shot Learning via Self-Supervised Training., , , , , , и . NAACL-HLT, стр. 3558-3573. Association for Computational Linguistics, (2022)Self-training Improves Pre-training for Natural Language Understanding., , , , , , , и . NAACL-HLT, стр. 5408-5418. Association for Computational Linguistics, (2021)Toward Opinion Summarization: Linking the Sources, и . Proceedings of the Workshop on Sentiment and Subjectivity in Text, стр. 9--14. Sydney, Australia, Association for Computational Linguistics, (июля 2006)Topic Identification for Fine-Grained Opinion Analysis., и . COLING, стр. 817-824. (2008)Simple Fusion: Return of the Language Model., , и . WMT, стр. 204-211. Association for Computational Linguistics, (2018)SemEval-2015 Task 10: Sentiment Analysis in Twitter., , , , , и . SemEval@NAACL-HLT, стр. 451-463. The Association for Computer Linguistics, (2015)Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models., , , , , , , и . EACL, стр. 2706-2723. Association for Computational Linguistics, (2023)ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection., , , , , , , , , и . EMNLP, стр. 2109-2120. Association for Computational Linguistics, (2022)Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models., , , , и . EMNLP, стр. 11351-11361. Association for Computational Linguistics, (2022)