Retrieval-Enhanced Event Temporal Relation Extraction by Prompt Tuning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2421-5_2
Reference32 articles.
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3. Cao, P., Zuo, X., Chen, Y., Liu, K., Zhao, J., Bi, W.: Uncertainty-aware self-training for semi-supervised event temporal relation extraction. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM), pp. 2900–2904 (2021)
4. Cassidy, T., McDowell, B., Chambers, N., Bethard, S.: An annotation framework for dense event ordering. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), pp. 501–506 (2014)
5. Chambers, N., Cassidy, T., McDowell, B., Bethard, S.: Dense event ordering with a multi-pass architecture. Trans. Assoc. Comput. Linguist. (TACL) 2, 273–284 (2014)
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