Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods

Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods Chris van der Lee author Emiel Krahmer author Sander Wubben author 2018-11 text Proceedings of the 11th International Conference on Natural Language Generation Emiel Krahmer editor Albert Gatt editor Martijn Goudbeek editor Association for Computational Linguistics Tilburg University, The Netherlands conference publication van-der-lee-etal-2018-automated 10.18653/v1/W18-6504 https://aclanthology.org/W18-6504/ 2018-11 35 45