A machine reading comprehension model with counterfactual contrastive learning for emotion-cause pair extraction

Author:

Mai Hanjie,Zhang Xuejie,Wang Jin,Zhou Xiaobing

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Reference33 articles.

1. Chen Y, Lee SYM, Li S, Huang C-R (2010) Emotion cause detection with linguistic constructions. In: Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), pp. 179–187

2. Cheng X, Chen Y, Cheng B, Li S, Zhou G (2017) An emotion cause corpus for Chinese microblogs with multiple-user structures. ACM Trans Asian Low-Resource Lang Inform Process (TALLIP) 17(1):1–19

3. Russo I, Caselli T, Rubino F, Boldrini E, Martínez-Barco P (2011) Emocause: An easy-adaptable approach to extract emotion cause contexts. In: Proceedings of the 2nd workshop on computational approaches to subjectivity and sentiment analysis (WASSA 2.011), pp. 153–160

4. Gui L, Wu D, Xu R, Lu Q, Zhou Y (2016) Event-driven emotion cause extraction with corpus construction. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp. 1639–1649

5. Xia R, Ding Z (2019) Emotion-cause pair extraction: A new task to emotion analysis in texts. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 1003–1012

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1. Emotion-Cause Pair Extraction Based on Dependency-injected Dual-MRC;2024 International Conference on Asian Language Processing (IALP);2024-08-04

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