DuEE-Fin: A Large-Scale Dataset for Document-Level Event Extraction-Reference-Cited by-同舟云学术

DuEE-Fin: A Large-Scale Dataset for Document-Level Event Extraction

Published:2022 Issue: Volume: Page:172-183
ISSN:0302-9743
Container-title:Natural Language Processing and Chinese Computing
language:
Short-container-title:

Author:

Han Cuiyun,Zhang Jinchuan,Li Xinyu,Xu Guojin,Peng Weihua,Zeng Zengfeng

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-17120-8_14

Reference17 articles.

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2. Ebner, S., Xia, P., Culkin, R., Rawlins, K., Van Durme, B.: Multi-sentence argument linking. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. pp. 8057–8077. Association for Computational Linguistics, Online (2020). https://doi.org/10.18653/v1/2020.acl-main.718, https://www.aclweb.org/anthology/2020.acl-main.718

3. Fung, Y., et al.: InfoSurgeon: cross-media fine-grained information consistency checking for fake news detection. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). pp. 1683–1698. Association for Computational Linguistics, Online (2021). https://doi.org/10.18653/v1/2021.acl-long.133, https://aclanthology.org/2021.acl-long.133

4. Grishman, R., Sundheim, B.: Message understanding conference- 6: a brief history. In: COLING 1996 Volume 1: The 16th International Conference on Computational Linguistics (1996). https://aclanthology.org/C96-1079

5. Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. CoRR abs/1609.02907 (2016). http://arxiv.org/abs/1609.02907

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