Building a Corpus for Chinese Causality Extraction in Futures Domain
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28956-9_24
Reference19 articles.
1. Xu, J., Zuo, W., Liang, S., Zuo, X.: A review of dataset and labeling methods for causality extraction. In: Proceedings of the 28th International Conference on Computational Linguistics, pp. 1519–1531 (2020)
2. Hendrickx, I.,et al.: Semeval-2010 task 8: multi-way classification of semantic relations between pairs of nominals. arXiv preprint arXiv:1911.10422 (2019)
3. Mirza, P., Sprugnoli, R., Tonelli, S., Speranza, M.: Annotating causality in the tempeval-3 corpus. In: Proceedings of the EACL 2014 Workshop on Computational Approaches to Causality in Language (CAtoCL), pp. 10–19 (2014)
4. Hidey, C., McKeown, K.: Identifying causal relations using parallel wikipedia articles. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1424–1433 (2016)
5. Caselli, T., Vossen, P.: The event storyline corpus: a new benchmark for causal and temporal relation extraction. In: Proceedings of the Events and Stories in the News Workshop, pp. 77–86 (2017)
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