Author:
Liu Ya,Tian Jiachen,Zhang Lan,Feng Yibo,Fang Hong
Reference39 articles.
1. Ning, Q., Feng, Z., Roth, D.: A structured learning approach to temporal relation extraction. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark, pp. 1027–1037 (2017)
2. Do, Q., Chan, Y.S., Roth, D.: Minimally supervised event causality identification. In: Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pp. 294–303 (2011)
3. Liu, J., Chen, Y., Zhao, J.: Knowledge enhanced event causality identification with mention masking generalizations
4. Ning, Q., Feng, Z., Wu, H., Roth, D.: Joint reasoning for temporal and causal relations. arXiv preprint arXiv:1906.04941 (2019)
5. Mirza, P., Sprugnoli, R., Tonelli, S., Speranza, M.: Annotating causality in the TempEval-3 Corpus, pp. 10–19. Gothenburg, Sweden (2014)
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