Empirical Inference

Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP

2021

Conference Paper

ei


Author(s): Jin*, Z. and von Kügelgen*, J. and Ni, J. and Vaidhya, T. and Kaushal, A. and Sachan, M. and Schölkopf, B.
Book Title: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Pages: 9499--9513
Year: 2021
Month: November
Editors: Marie{-}Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen{-}tau Yih
Publisher: Association for Computational Linguistics

Department(s): Empirical Inference
Research Project(s): Causal Inference
Bibtex Type: Conference Paper (conference)

DOI: 10.18653/v1/2021.emnlp-main.748
Event Place: Virtual Conference

Note: *equal contribution
State: Published
URL: https://aclanthology.org/2021.emnlp-main.748

Links: arXiv

BibTex

@conference{Jinetal21,
  title = {Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP},
  author = {Jin*, Z. and von K{\"u}gelgen*, J. and Ni, J. and Vaidhya, T. and Kaushal, A. and Sachan, M. and Sch{\"o}lkopf, B.},
  booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  pages = {9499--9513},
  editors = {Marie{-}Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen{-}tau Yih},
  publisher = {Association for Computational Linguistics},
  month = nov,
  year = {2021},
  note = {*equal contribution},
  doi = {10.18653/v1/2021.emnlp-main.748},
  url = {https://aclanthology.org/2021.emnlp-main.748},
  month_numeric = {11}
}