Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo

Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo Barkavi Sundararajan author Yaji Sripada author Ehud Reiter author 2024-06 text Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) Kevin Duh editor Helena Gomez editor Steven Bethard editor Association for Computational Linguistics Mexico City, Mexico conference publication sundararajan-etal-2024-improving 10.18653/v1/2024.naacl-long.408 https://aclanthology.org/2024.naacl-long.408/ 2024-06 7350 7376