A Three-Stage Framework for Event-Event Relation Extraction with Large Language Model

Author:

Huang Feng,Huang Qiang,Zhao YueTong,Qi ZhiXiao,Wang BingKun,Huang YongFeng,Li SongBin

Publisher

Springer Nature Singapore

Reference26 articles.

1. Bubeck, S., et al.: Sparks of artificial general intelligence: Early experiments with GPT-4. CoRR abs/2303.12712 (2023). https://doi.org/10.48550/arXiv.2303.12712

2. Caselli, T., Vossen, P.: The event storyline corpus: A new benchmark for causal and temporal relation extraction. In: Caselli, T., et al. (eds.) Proceedings of the Events and Stories in the News Workshop@ACL 2017, Vancouver, Canada, August 4, 2017, pp. 77–86. Association for Computational Linguistics (2017). https://doi.org/10.18653/v1/w17-2711. https://doi.org/10.18653/v1/w17-2711

3. Jiao, W., Wang, W., Huang, J., Wang, X., Tu, Z.: Is chatgpt A good translator? A preliminary study. CoRR abs/2301.08745 (2023). https://doi.org/10.48550/arXiv.2301.08745

4. Kojima, T., Gu, S.S., Reid, M., Matsuo, Y., Iwasawa, Y.: Large language models are zero-shot reasoners. In: NeurIPS (2022). http://papers.nips.cc/paper_files/paper/2022/hash/8bb0d291acd4acf06ef112099c16f326-Abstract-Conference.html

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);X Li,2020

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