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Bridging the domain gap in cross-lingual document classification., , , and . CoRR, (2019)Toward Opinion Summarization: Linking the Sources, and . Proceedings of the Workshop on Sentiment and Subjectivity in Text, page 9--14. Sydney, Australia, Association for Computational Linguistics, (July 2006)Self-training Improves Pre-training for Natural Language Understanding., , , , , , , and . NAACL-HLT, page 5408-5418. Association for Computational Linguistics, (2021)Improving In-Context Few-Shot Learning via Self-Supervised Training., , , , , , and . NAACL-HLT, page 3558-3573. Association for Computational Linguistics, (2022)Topic Identification for Fine-Grained Opinion Analysis., and . COLING, page 817-824. (2008)Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure., , and . AISTATS, volume 15 of JMLR Proceedings, page 725-733. JMLR.org, (2011)Annotating Topics of Opinions., and . LREC, European Language Resources Association, (2008)Emerging Cross-lingual Structure in Pretrained Language Models., , , , and . CoRR, (2019)SemEval-2015 Task 10: Sentiment Analysis in Twitter., , , , , and . CoRR, (2019)SemEval-2016 Task 4: Sentiment Analysis in Twitter., , , , and . CoRR, (2019)