TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface - researchr publication authors

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Peng Xu, Wenjie Zi, Hamidreza Shahidi, Ákos Kádár, Keyi Tang, Wei Yang 0017, Jawad Ateeq, Harsh Barot, Meidan Alon, Yanshuai Cao. TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface. In Heng Ji, Jong C. Park, Rui Xia, editors, Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, AAAAAAAAAA 2021, Online, August 1-6, 2021. pages 298-305, Association for Computational Linguistics, 2021. [doi]

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