[1] 朱木易洁, 鲍秉坤, 徐常胜.知识图谱发展与构建的研究进展[J].南京信息工程大学学报(自然科学版), 2017, 9(6):575-582. ZHU M Y J, BAO B K, XU C S.Research progress on the development and construction of knowledge graph[J].Journal of Nanjing University of Information Science & Technology(Natural Science Edition), 2017, 9(6):575-582.(in Chinese) [2] 高李政, 周刚, 罗军勇, 等.元事件抽取研究综述[J].计算机科学, 2019, 46(8):9-15. GAO L Z, ZHOU G, LUO J Y, et al.Review of research on meta-event extraction[J].Computer Science, 2019, 46(8):9-15.(in Chinese) [3] 孙佩佩, 廖涛, 刘宗田.基于事件要素的自动文摘抽取[J].计算机与数字工程, 2015, 43(10):1829-1833. SUN P P, LIAO T, LIU Z T.Automatic abstract extraction based on event arguments[J].Computer and Digital Engineering, 2015, 43(10):1829-1833.(in Chinese) [4] AHN D.The stages of event extraction[C]//Proceedings of Workshop on Annotating and Reasoning About Time and Events.Cambridge, USA:MIT Press, 2006:1-8. [5] 漆桂林, 高桓, 吴天星.知识图谱研究进展[J].情报工程, 2017, 3(1):4-25. QI G L, GAO H, WU T X.Research progress of knowledge graph[J].Journal of Information Engineering, 2017, 3(1):4-25.(in Chinese) [6] 郑巧夺, 吴贞东, 邹俊颖.基于双层CNN-BiGRU-CRF模型的事件因果关系抽取方法[J].计算机工程, 2021, 47(5):58-64, 72. ZHENG Q D, WU Z D, ZOU J Y.Event causality extraction method based on two-layer CNN-BiGRU-CRF model[J].Computer Engineering, 2021, 47(5):58-64, 72.(in Chinese) [7] LIAO S, GRISHMAN R.Using document level cross-event inference to improve event extraction[C]//Proceedings of the 48th Annual Meetings of the Association for Computational Linguistics.Cambridge, USA:MIT Press, 2010:789-797. [8] HONG Y, ZHANG J, MA B, et al.Using cross-entity inference to improve event extraction[C]//Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics:Human Language Technologies.Cambridge, USA:MIT Press, 2011:1127-1136. [9] LI Q, JI H, HUANG L.Joint event extraction via structured prediction with global features[C]//Proceedings of Meeting of the Association for Computational Linguistics.Cambridge, USA:MIT Press, 2013:73-82. [10] NGUYEN T H, GRISHMAN R.Event detection and domain adaptation with convolutional neural network[C]//Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing.Stroudsburg, USA:ACL Press, 2015:365-371. [11] CHEN Y, XU L, LIU K, et al.Event extraction via dynamic multi-pooling convolutional neural networks[C]//Proceedings of Meeting of the Association for Computational Linguistics.Cambridge, USA:MIT Press, 2015:167-176. [12] NGUYEN T H, CHO K, GRISHMAN R.Joint event extraction via recurrent neural networks[C]//Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Cambridge, USA:MIT Press, 2016:300-309. [13] 陈斌, 周勇, 刘兵.基于卷积长短期记忆网络的事件触发词抽取[J].计算机工程, 2019, 45(1):153-158. CHEN B, ZHOU Y, LIU B.Event trigger extraction based on convolutional bidirectional long short term memory network[J].Computer Engineering, 2019, 45(1):153-158.(in Chinese) [14] LIU S L, CHEN Y B, LIU K, et al.Exploiting argument information to improve event detection via supervised attention mechanisms[C]//Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics.Stroudsburg, USA:ACL Press, 2017:1789-1798. [15] 王丽亚, 刘昌辉, 蔡敦波, 等.CNN-BiGRU网络中引入注意力机制的中文文本情感分析[J].计算机应用, 2019, 39(10):2841-2846. WANG L Y, LIU C H, CAI D B, et al.Sentiment analysis of Chinese text with attention mechanism introduced in CNN-BiGRU network[J].Computer Applications, 2019, 39(10):2841-2846.(in Chinese) [16] 柳亦婷, 李培峰.基于局部实体特征的事件触发词抽取[J].计算机工程, 2019, 45(11):213-217, 224. LIU Y T, LI P F.Event trigger word extraction based on local entity features[J].Computer Engineering, 2019, 45(11):213-217, 224.(in Chinese) [17] 吴文涛, 李培峰, 朱巧明.基于混合神经网络的实体和事件联合抽取方法[J].中文信息学报, 2019, 33(8):77-83. WU W T, LI P F, ZHU Q M.A joint extraction method of entities and events based on hybrid neural network[J].Journal of Chinese Information Processing, 2019, 33(8):77-83.(in Chinese) [18] 易士翔, 尹宏鹏, 郑恒毅.基于BiLSTM的公共安全事件触发词识别[J].工程科学学报, 2019, 41(9):1201-1207. YI S X, YIN H P, ZHENG H Y.Public safety event trigger word recognition based on BiLSTM[J].Journal of Engineering Science, 2019, 41(9):1201-1207.(in Chinese) [19] ZHANG Z, XU W, CHEN Q.Joint event extraction based on skip-window convolutional neural networks[C]//Proceedings of International Conference on Computer Processing of Oriental Languages.Berlin, Germany:Springer, 2016:324-334. [20] PYYSALO S, OHTA T, MIWA M, et al.Event extraction across multiple levels of biological organization[J].Bioinformatics, 2012, 28(18):575-586. [21] ZHOU D Y, ZHONG D Y, HE Y L.Event trigger identification for biomedical events extraction using domain knowledge[J].Bioinformatics, 2014, 30(11):1587. [22] WANG J, LI H L, AN Y, et al.Biomedical event trigger detection based on convolutional neural network[J].International Journal of Data Mining and Bioinformatics, 2016, 15(3):195. |