Empirical Inference Conference Paper 2021

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

Causaldirection

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
Project(s):
Bibtex Type: Conference Paper (conference)
DOI: 10.18653/v1/2021.emnlp-main.748
Event Place: Virtual Conference
State: Published
URL: https://aclanthology.org/2021.emnlp-main.748
Electronic Archiving: grant_archive
Note: *equal contribution
Links:

BibTex

@conference{jin-etal-2021-causal,
  title = {Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP},
  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},
  slug = {jin-etal-2021-causal},
  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.},
  url = {https://aclanthology.org/2021.emnlp-main.748},
  month_numeric = {11}
}