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Faithful Low-Resource Data-to-Text Generation through Cycle Training

, , , , , and . Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), page 2847--2867. Toronto, Canada, Association for Computational Linguistics, (July 2023)
DOI: 10.18653/v1/2023.acl-long.160

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