Semantic Pivoting Model for Effective Event Detection

Author:

Anran Hao,Siu Cheung Hui,Jian Su

Publisher

Springer Nature Switzerland

Reference24 articles.

1. Chen, Y., Liu, S., Zhang, X., Liu, K., Zhao, J.: Automatically labeled data generation for large scale event extraction. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vancouver, Canada, pp. 409–419. Association for Computational Linguistics (2017). https://doi.org/10.18653/v1/P17-1038

2. Chen, Y., Xu, L., Liu, K., Zeng, D., Zhao, J.: Event extraction via dynamic multi-pooling convolutional neural networks. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Beijing, China, pp. 167–176. Association for Computational Linguistics (2015). https://doi.org/10.3115/v1/P15-1017

3. Du, X., Cardie, C.: Event extraction by answering (almost) natural questions. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 671–683. Association for Computational Linguistics (2020). https://doi.org/10.18653/v1/2020.emnlp-main.49

4. Grishman, R.: Twenty-five years of information extraction. Nat. Lang. Eng. 25(6), 677–692 (2019). https://doi.org/10.1017/S1351324919000512

5. Huang, L., Ji, H.: Semi-supervised new event type induction and event detection. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 718–724. Association for Computational Linguistics (2020). https://doi.org/10.18653/v1/2020.emnlp-main.53

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1. Event Detection Model Based on the Fusion of Hierarchical Syntactic and Type Semantic Features;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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