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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)

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Improving In-Context Few-Shot Learning via Self-Supervised Training., , , , , , and . NAACL-HLT, page 3558-3573. Association for Computational Linguistics, (2022)Self-training Improves Pre-training for Natural Language Understanding., , , , , , , and . NAACL-HLT, page 5408-5418. Association for Computational Linguistics, (2021)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)Topic Identification for Fine-Grained Opinion Analysis., and . COLING, page 817-824. (2008)SemEval-2015 Task 10: Sentiment Analysis in Twitter., , , , , and . SemEval@NAACL-HLT, page 451-463. The Association for Computer Linguistics, (2015)Simple Fusion: Return of the Language Model., , and . WMT, page 204-211. Association for Computational Linguistics, (2018)Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models., , , , , , , and . EACL, page 2706-2723. Association for Computational Linguistics, (2023)On the Role of Bidirectionality in Language Model Pre-Training., , , , and . EMNLP (Findings), page 3973-3985. Association for Computational Linguistics, (2022)Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models., , , , and . EMNLP, page 11351-11361. Association for Computational Linguistics, (2022)ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection., , , , , , , , , and . EMNLP, page 2109-2120. Association for Computational Linguistics, (2022)