Text Causal Discovery Based on Sequence Structure Information

Author:

Li Yue,Cao Donglin,Lin Dazhen

Publisher

Springer Nature Singapore

Reference26 articles.

1. Blöbaum, P., Janzing, D., Washio, T., Shimizu, S., Schölkopf, B.: Cause-effect inference by comparing regression errors. In: International Conference on Artificial Intelligence and Statistics, pp. 900–909. PMLR (2018)

2. Brouillard, P., Lachapelle, S., Lacoste, A., Lacoste-Julien, S., Drouin, A.: Differentiable causal discovery from interventional data. Adv. Neural. Inf. Process. Syst. 33, 21865–21877 (2020)

3. Chickering, D.M.: Optimal structure identification with greedy search. J. Mach. Learn. Res. 3, 507–554 (2002)

4. Daniusis, P., et al.: Inferring deterministic causal relations. arXiv preprint arXiv:1203.3475 (2012)

5. Fonollosa, J.A.: Conditional distribution variability measures for causality detection. Cause Effect Pairs in Machine Learning, pp. 339–347 (2019)

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