MetaPETR: An Effective Model for Handling Class-Imbalanced Data About Event Temporal Relations

Author:

Zhang Xiaobin,Zang Liangjun,Liu Qianwen,Wei Shuchong,Hu Songlin

Publisher

Springer Nature Singapore

Reference23 articles.

1. Cassidy, T., McDowell, B., Chambers, N., Bethard, S.: An annotation frame- work for dense event ordering. in Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), (Baltimore, Maryland), pp. 501–506, Association for Computational Linguistics, June 2014

2. Ma, M.D., et al.: EventPlus: a temporal event understanding pipeline. In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, (Online), pp. 56–65. Association for Computational Linguistics (2021)

3. Zhou, Y., et al.: Clinical temporal relation extraction with probabilistic soft logic regularization and global inference. In: AAAI Conference on Artificial Intelligencel Intelligence (2021)

4. Liu, J., Xu, J., Chen, Y., Zhang, Y.: Discourse-level event temporal ordering with uncertainty-guided graph completion. In: Zhou, Z.-H. (ed.)Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, pp. 3871–3877, International Joint Conferences on Artificial Intelligence Organization, 8 (2021). Main Track

5. Mathur, P., Jain, R., Dernoncourt, F., Morariu, V., Tran, Q.H., Manocha, D.: TIMERS: document-level temporal relation extraction. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), (Online), pp. 524–533. Association for Computational Linguistics (2021)

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