OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering - researchr publication authors

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Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen. OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 932-942, Association for Computational Linguistics, 2022. [doi]

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