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SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis.

, , , , , , , and . ACL, page 4067-4076. Association for Computational Linguistics, (2020)

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DU-VLG: Unifying Vision-and-Language Generation via Dual Sequence-to-Sequence Pre-training., , , , and . ACL (Findings), page 2552-2566. Association for Computational Linguistics, (2022)WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning., , , , , and . ACL (1), page 307-321. Association for Computational Linguistics, (2023)Leveraging Graph to Improve Abstractive Multi-Document Summarization., , , , , and . ACL, page 6232-6243. Association for Computational Linguistics, (2020)UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning., , , , , , , and . CoRR, (2020)Enhancing Local Feature Extraction with Global Representation for Neural Text Classification., , , , , and . EMNLP/IJCNLP (1), page 496-506. Association for Computational Linguistics, (2019)The ICT statistical machine translation system for the IWSLT 2009., , , , , , , , , and 1 other author(s). IWSLT (Evaluation Campaign), (2009)SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis., , , , , , , and . ACL, page 4067-4076. Association for Computational Linguistics, (2020)Learning with Noisy Correspondence., , , , , and . Int. J. Comput. Vis., 132 (9): 3656-3677 (September 2024)InstructEval: Instruction-Tuned Text Evaluator from Human Preference., , , , and . ACL (Findings), page 13462-13474. Association for Computational Linguistics, (2024)Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling., , , and . EMNLP, page 1787-1796. Association for Computational Linguistics, (2018)