Hierarchical Mutual Prompt for Chinese Few-Shot Event Detection

Author:

Hou ShuxiangORCID,Qian YurongORCID,Chen Jiaying,Zhao Jigui,Lv Huiyong,Lu Yi,Leng Hongyong

Publisher

Springer Nature Singapore

Reference11 articles.

1. Zhuang, L., Fei, H., Hu, P.: Knowledge-enhanced event relation extraction via event ontology prompt. Inf. Fusion 100, 101919 (2023)

2. Huo, X., Sun, G., Tian, S.: Hifuse: hierarchical multi-scale feature fusion network for medical image classification. Biomed. Signal Process. Control 87, 105534 (2024)

3. Devlin, J., Chang, M.-W., Lee, L., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of NAACL-HLT, pp. 4171–4186 (2019)

4. Sung, F., Yang, Y.: Learning to compare: relation network for few-shot learning. In: Proceedings of the CVPR, pp. 1199–1208 (2018)

5. Snell, J., Swersky, K., Zemel, R.: Prototypical networks for few-shot learning. Adv. Neural Inf. Process. Syst. 30 (2017)

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