HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies

William Watson, Nicole Cho, Tucker Balch, Manuela Veloso. HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023. pages 7144-7159, Association for Computational Linguistics, 2023. [doi]

@inproceedings{WatsonCBV23,
  title = {HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies},
  author = {William Watson and Nicole Cho and Tucker Balch and Manuela Veloso},
  year = {2023},
  url = {https://aclanthology.org/2023.emnlp-main.442},
  researchr = {https://researchr.org/publication/WatsonCBV23},
  cites = {0},
  citedby = {0},
  pages = {7144-7159},
  booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023},
  editor = {Houda Bouamor and Juan Pino 0001 and Kalika Bali},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-060-8},
}