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

  • TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface

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

    *P. Xu, *W. Zi, H. Shahidi, A. Kádár, K. Tang, W. Yang, J. Ateeq, H. Barot, M. Alon, and Y. Cao. Association for Computational Linguistics (ACL) & International Joint Conference on Natural Language Processing (IJCNLP), 2021

    Natural Language Processing

    Publication

  • Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data

    Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data

    S. Norouzi, K. Tang, and Y. Cao. Association for Computational Linguistics (ACL) & International Joint Conference on Natural Language Processing (IJCNLP), 2021

    Natural Language Processing

    Publication

  • Optimizing Deeper Transformers on Small Datasets

    Optimizing Deeper Transformers on Small Datasets

    P. Xu, D. Kumar, W. Yang, W. Zi, K. Tang, C. Huang, J. Chi Kit Cheung, S. Prince, and Y. Cao. Association for Computational Linguistics (ACL) & International Joint Conference on Natural Language Processing (IJCNLP), 2021

    Natural Language Processing

    Publication

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