Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP - researchr publication authors

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Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf. Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021. pages 9499-9513, Association for Computational Linguistics, 2021. [doi]

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