Studying the Impact of Filling Information Gaps on the Output Quality of Neural Data-to-Text

Studying the Impact of Filling Information Gaps on the Output Quality of Neural Data-to-Text Craig Thomson author Zhijie Zhao author Somayajulu Sripada author 2020-12 text Proceedings of the 13th International Conference on Natural Language Generation Brian Davis editor Yvette Graham editor John Kelleher editor Yaji Sripada editor Association for Computational Linguistics Dublin, Ireland conference publication thomson-etal-2020-studying 10.18653/v1/2020.inlg-1.6 https://aclanthology.org/2020.inlg-1.6/ 2020-12 35 40