[1] LI Q, LI J, SHENG J, et al. A survey on deep learning event extraction: approaches and applications[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(5): 6301-6321.
[2] 郭鑫, 高彩翔, 陈千, 等. 面向新冠新闻的三阶段篇章级事件抽取方法[J]. 计算机工程与应用, 2023, 59(3): 150-157.
GUO X, GAO C X, CHEN Q, et al. Three-stage document-level event extraction for COVID-19 news[J]. Computer Engineering and Applications, 2023, 59(3): 150-157.
[3] 陈星月, 倪丽萍, 倪志伟. 基于ELECTRA模型与词性特征的金融事件抽取方法研究[J]. 数据分析与知识发现, 2021, 5(7): 36-47.
CHEN X Y, NI L P, NI Z W. Extracting financial events with ELECTRA and part-of-speech[J]. Data Analysis and Knowledge Discovery, 2021, 5(7): 36-47.
[4] 张紫月, 王羽, 徐建. 基于图卷积网络融合依存信息的事件检测方法[J]. 计算机应用研究, 2023, 40(10): 2967-2971.
ZHANG Z Y, WANG Y, XU J. Event detection based on dependency information and graph convolutional network[J]. Application Research of Computers, 2023, 40(10): 2967-2971.
[5] QIAO X, TANG Y, LIU Y, et al. A event extraction method of document-level based on the self-attention mechanism[C]//Proceedings of the 2022 International Conference on Machine Learning for Cyber Security. Cham: Springer, 2022: 609-619.
[6] HEI Y, WANG L, SHENG J, et al. Label graph augmented soft cascade decoding model for overlapping event extraction[J]. International Journal of Machine Learning and Cybernetics, 2024, 15: 79-95.
[7] WALKER C, STRASSEL S, MEDERO J, et al. ACE 2005 multilingual training corpus[J]. Progress of Theoretical Physics Supplement, 2006, 110: 261-276.
[8] LI X, LI F, PAN L, et al. DuEE: a large-scale dataset for Chinese event extraction in real-world scenarios[C]//Proceedings of the 9th CCF International Conference on Natural Language Processing and Chinese Computing. Cham: Springer, 2020: 534-545.
[9] LIU Y, OTT M, GOYAL N, et al. RoBERTa: a robustly optimized BERT pretraining approach[J]. arXiv:1907.11692, 2019.
[10] CHEN Y, XU L, LIU K, et al. Event extraction via dynamic multi-pooling convolutional neural networks[C]//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), 2015: 167-176.
[11] YANG S, FENG D, QIAO L, et al. Exploring pre-trained language models for event extraction and generation[C]//Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019: 5284-5294.
[12] LI F, PENG W, CHEN Y, et al. Event extraction as multi-turn question answering[C]//Findings of the Association for Computational Linguistics: EMNLP 2020, 2020: 829-838.
[13] NGUYEN T H, CHO K, GRISHMAN R. Joint event extraction via recurrent neural networks[C]//Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016: 300-309.
[14] LU Y, LIN H, XU J, et al. Text2Event: controllable sequence-to-structure generation for end-to-end event extraction[C]//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), 2021: 2795-2806.
[15] LIU Y. Research of network hotspot events joint extracting based on BERT-CNN-CRF model for Internet public opinion[C]//Proceedings of the 4th International Conference on Advanced Information Science and System, 2022: 1-6.
[16] SHENG J, GUO S, YU B, et al. CasEE: a joint learning framework with cascade decoding for overlapping event extraction[C]//Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021: 164-174.
[17] XU N, XIE H, ZHAO D. A novel joint framework for multiple Chinese events extraction[C]//Proceedings of the 19th China National Conference on Chinese Computational Linguistics. Cham: Springer, 2020: 174-183.
[18] 冯兴杰, 赵新阳, 冯小荣. 基于软参数共享的事件联合抽取方法[J]. 计算机应用研究, 2023, 40(1): 91-96.
FENG X J, ZHAO X Y, FENG X R. Joint event extraction method based on soft parameter sharing[J]. Application Research of Computers, 2023, 40(1): 91-96.
[19] CHOI H, KIM J, JOE S, et al. Evaluation of BERT and Albert sentence embedding performance on downstream NLP tasks[C]//Proceedings of the 2020 25th International Conference on Pattern Recognition. Piscataway: IEEE, 2021: 5482-5487.
[20] YIN B, WU H, KONG W. A joint event extraction model based on RoBERTa-wwm-ext and gating mechanism[J]. Journal of Computational Methods in Sciences and Engineering, 2023, 23(4): 2101-2112.
[21] ZENG Y, YANG H, FENG Y, et al. A convolution BiLSTM neural network model for Chinese event extraction[C]//Proceedings of the 5th CCF Conference on Natural Language Processing and Chinese Computing, and 24th International Conference on Computer Processing of Oriental Languages. Cham: Springer, 2016: 275-287. |