A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems

Craig Thomson, Ehud Reiter. A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems. In Brian Davis, Yvette Graham, John Kelleher, Yaji Sripada, editors, Proceedings of the 13th International Conference on Natural Language Generation, INLG 2020, Dublin, Ireland, December 15-18, 2020. pages 158-168, Association for Computational Linguistics, 2020. [doi]

@inproceedings{ThomsonR20,
  title = {A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems},
  author = {Craig Thomson and Ehud Reiter},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.inlg-1.22/},
  researchr = {https://researchr.org/publication/ThomsonR20},
  cites = {0},
  citedby = {0},
  pages = {158-168},
  booktitle = {Proceedings of the 13th International Conference on Natural Language Generation, INLG 2020, Dublin, Ireland, December 15-18, 2020},
  editor = {Brian Davis and Yvette Graham and John Kelleher and Yaji Sripada},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-54-5},
}