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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

  • 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

  • A Cross-Domain Transferable Neural Coherence Model

    A Cross-Domain Transferable Neural Coherence Model

    P. Xu, H. Saghir, J. Kang, L. Long, A. J. Bose, and Y. Cao. Association for Computational Linguistics (ACL), 2019

    Causmos; Natural Language Processing; Transformers

    Publication

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