Conceptualizing Treatment Leakage in Text-based Causal Inference

Adel Daoud, Connor T. Jerzak, Richard Johansson. Conceptualizing Treatment Leakage in Text-based Causal Inference. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 5638-5645, Association for Computational Linguistics, 2022. [doi]

@inproceedings{DaoudJJ22,
  title = {Conceptualizing Treatment Leakage in Text-based Causal Inference},
  author = {Adel Daoud and Connor T. Jerzak and Richard Johansson},
  year = {2022},
  url = {https://aclanthology.org/2022.naacl-main.413},
  researchr = {https://researchr.org/publication/DaoudJJ22},
  cites = {0},
  citedby = {0},
  pages = {5638-5645},
  booktitle = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022},
  editor = {Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruíz},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-71-1},
}