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