[1]夏占杰,张贝克,高东.基于数据增强的HSE检查纪要命名实体识别[J].中国安全科学学报,2022,32(12):53-62.
XIA Zhanjie,ZHANG Beike,GAO Dong.Named entity recognition of HSE inspection minutes based on data enhancement[J].China Safety Science Journal,2022,32(12):53-62.
[2]陈晨,侯瑞瑞,张新梅,等.基于危化品事故案例的决策规则提取算法研究[J].中国安全生产科学技术,2021,17(4):85-91.
CHEN Chen,HOU Ruirui,ZHANG Xinmei,et al.Extraction of decision rules for hazardous chemicals cases based on improved Gra-Apriori algorithm[J].Journal of Safety Science and Technology,2021,17(4):85-91.
[3]WANG X,CHEN Y,GUAN R C.A comparative study for biomedical named entity recognition[J].International Journal of Machine Learning and Cybernetics,2018,9(3):373-382.
[4]扈应,陈艳平,黄瑞章,等.结合CRF的边界组合生物医学命名实体识别[J].计算机应用研究,2021,38(7):2025-2031.
HU Ying,CHEN Yanping,HUANG Ruizhang,et al.CRF-combined boundary assembly method for biomedical named entity recognition[J].Application Research of Computers,2021,38(7):2025-2031.
[5]ZHOU J T,ZHANG H,JIN D,et al.RoSeq:robust sequence labeling[J].IEEE Transactions on Neural Networks and Learning Systems,2020,31(7):2304-2314.
[6]FU S N,LYU H,WANG Z,et al.Extracting historical flood locations from news media data by the named entity recognition (NER) model to assess urban flood susceptibility[J].Journal of Hydrology,2020,612:128312.
[7]祁鹏年,廖雨伦,覃飙.基于深度学习的中文命名实体识别研究综述[J].小型微型计算机系统,2023,44(9):1857-1868.
QI Pengnian,LIAO Yulun,QIN Biao.Survey on deep learning for Chinese named entity recognition[J].Journal of Chinese Computer Systems,2023,44(9):1857-1868.
[8]LEE L H,LU Y.Multiple embeddings enhanced multi-graph neural networks for Chinese healthcare named entity recognition[J].IEEE Journal of Biomedical and Health Informatics,2021,25(7):2801-2810.
[9]GAJENDRAN S,MANJULA D,SUGUMARAN V,et al.Extraction of knowledge graph of Covid-19 through mining of unstructured biomedical corpora[J].Computational Biology and Chemistry,2023,102:107808.
[10]LIU Q P,ZHANG L L,REN G,etal.Research on named entity recognition of traditional Chinese medicine chest discomfort cases incorporating domain vocabulary features[J].Computers in Biology and Medicine,2023,166:107466.
[11]ZHONG J H,XUAN Z X,WANG K,et al.A BERT-Span model for Chinese named entity recognition in rehabilitation medicine[J].PeerJ Computer Science,2023.9:e1535.
[12]邱盈盈,洪宇,周文瑄,等.面向事件抽取的深度与主动联合学习方法[J].中文信息学报,2018,32(6):98-106.
QIU Yingying,HONG Yu,ZHOU Wenxuan,et al.Combining deep learning and active learning for event extraction[J].Journal of Chinese Information Processing,2018,32(6):98-106.
[13]胡段牧,袁武,牛方曲,等.中文文本蕴含气象灾害事件信息多模型融合抽取方法[J].地球信息科学学报,2022,24(12):2342-2355.
HU Duanmu,YUAN Wu,NIU Fangqu,et al.Multi-model fusion extraction method for chinese text implicative meteorological disasters event information[J].Journal of Geo-Information Science,2022,24(12):2342-2355.
[14]王明达,张榜,吴志生,等.基于强化学习的城镇燃气事故信息抽取方法[J].中国安全生产科学技术,2023,19(3):39-45.
WANG Mingda,ZHANG Bang,WU Zhisheng,et al.Information extraction method of urban gas accidents based on reinforcement learning[J].Journal of Safety Science and Technology,2023,19(3):39-45.
[15]陈瑛,张晓强,陈昂轩,等.基于信息抽取的食品安全事件自动问答系统方法研究[J].农业机械学报,2020,51(增刊2):442-448.
CHEN Ying,ZHANG Xiaoqiang,CHEN Angxuan,et al.QA system for food safety events based on information extraction[J].Transactions of the Chinese Society for Agricultural Machinery,2020,51(Supplement 2):442-448.
[16]王喆,杨栋梁,况星园,等.考虑提示学习的洪涝灾害应急决策自动问答模型研究[J].中国安全生产科学技术,2022,18(11):12-18.
WANG Zhe,YANG Dongliang,KUANG Xingyuan,et al.Research on automatic question answering model of flood disaster emergency decision-making considering Prompt-learning[J].Journal of Safety Science and Technology,2022,18(11):12-18.
[17]TIAN D,LI M C,REN Q B,et al.Intelligent question answering method for construction safety hazard knowledge based on deep semantic mining[J].Automation in Construction,2023,145:104670.
[18]徐方廷,黄锐,王秉.三元空间融合视阈下的安全态势感知模型研究[J].中国安全生产科学技术,2022,18(11):5-11.
XU Fangting,HUANG Rui,WANG Bing.Study on safety & security situation awareness model from perspective of ternary space fusion[J].Journal of Safety Science and Technology,2022,18(11):5-11.
[19]李纲,王施运,毛进,等.面向态势感知的国家安全事件图谱构建研究[J].情报学报,2021,40(11):1164-1175.
LI Gang,WANG Shiyun,MAO Jin,et al.Construction of national security event map and its application for situation awareness[J].Journal of the China Society for Scientific and Technical Information,2021,40(11):1164-1175.
[20]SHI Y T,ZHAO L,ZHOU M,etal.A dynamic community gas risk-prediction method based on temporal knowledge graphs[J].Process Safety and Environmental Protection,2023,177:436-445.
[21]QIN Q L,ZHAO S,LIU C M.A BERT-BiGRU-CRF model for entity recognition of Chinese electronic medical records[J].Complexity,2021,2021:6631837.
[22]AN Y,XIA X Y,CHEN X L,et al.Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF[J].Artificial Intelligence in Medicine,2022,127:102282.
[23]陈娜,孙艳秋,燕燕.结合注意力机制的BERT-BiGRU-CRF中文电子病历命名实体识别[J].小型微型计算机系统,2023,44(8):1680-1685.
CHEN Na,SUN Yanqiu,YAN Yan.Named entity recognition for chinese electronic medical record based on BERT-BiGRU-CRF and attention mechanism[J].Journal of Chinese Computer Systems,2023,44(8):1680-1685.
[24]KONG J,ZHANG L X,JIANG M,et al.Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition[J].Journal of Biomedical Informatics,2021,116:103737.
[25]FU L,WENG Z Q,ZHANG J H,et al.MMBERT:a unified framework for biomedical named entity recognition[J].Medical & Biological Engineering & Computing,2023,62:327-341.
[26]西安市应急管理局.2010—2021年化工和危化品企业较大及以上安全生产事故案例汇编[EB/OL].(2022-08-17)[2024-03-08].https://yjglj.xa.gov.cn/web_files/yjglj/file/2022/08/17/202208171519145395693.pdf.
[27]TIAN Z H,LI X.Research on Chinese event detection method based on BERT-CRF model[J].Computer Engineering and Application,2021,57(11):135-139.
[28]温浩,何茜茹,王杰,等.基于ERNIE-BiGRU模型的摘要语步自动识别研究[J].中文信息学报,2022,36(11):91-100.
WEN Hao,HE Xiru,WANG Jie,et al.Move recognition in academic abstract via ERNIE-BiGRU model[J].Journal of Chinese Information Processing,2022,36(11):91-100.
[29]段宇锋,贺国秀.面向中文医学文本命名实体识别的神经网络模块分解分析[J].数据分析与知识发现,2023,7(2):26-37.
DUAN Yufeng,HE Guoxiu.Analysis of neural network modules for named entity recognition of Chinese medical texts[J].Data Analysis and Knowledge Discovery,2023,7(2):26-37.
[30]LI W,DU Y J,LI X Y,et al.UD_BBC:named entity recognition in social network combined BERT-BiLSTM-CRF with active learning[J].Engineering Applications of Artificial Intelligence,2022,116:105460.
[31]WEI W,WANG Z B,MAO X L,et al.Position-aware self-attention based neural sequence labeling[J].Pattern Recognition,2021,110:107636.
[32]FAN S Y,YU H,CAI X Y,et al.Multi-attention deep neural network fusing character and word embedding for clinical and biomedical concept extraction[J].Information Sciences,2022,608:778-793.
[33]HE H F,SUN X.F-score driven max margin neural network for named entity recognition in Chinese social media[C]//Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics.Spain:ACL,2017:713-718.
[34]PENG N Y,DREDZE M.Named entity recognition for Chinese social media with jointly trained embeddings[C]//Proceedings of the 15th Conference on Empirical Methods in Natural Language Processing.Portugal:ACL,2015:548-554.
[35]ZHU Y Y,WANG G X,KARLSSONB F.CAN-NER:con-volutional attention network for chinese named en-tity recognition[C]//In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Minneapolis:NAACL,2019:3384-3393.
[1]储胜利,裴玉起,周石燕,等.机械制造业安全事故统计分析与对策研究[J].中国安全生产科学技术,2010,6(1):185.
CHU Sheng-li,PEI Yu-qi,ZHOU Shi-yan,et al.Research on statistical analysis and countermeasure of safety accidents in manufacturing factories[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2010,6(6):185.
[2]汪刘凯,孟祥瑞,何叶荣,等.基于CA-SEM的煤矿安全事故风险因素结构模型[J].中国安全生产科学技术,2015,11(12):150.[doi:10.11731/j.issn.1673-193x.2015.12.024]
WANG Liu-kai,MENG Xiang-rui,HE Ye-rong,et al.Structural model of risk factors for safety accidents
in coal mine based on CA-SEM[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(6):150.[doi:10.11731/j.issn.1673-193x.2015.12.024]
[3]叶贵,陈梦莉,汪红霞.建筑安全事故人为因素分类研究[J].中国安全生产科学技术,2016,12(4):131.[doi:10.11731/j.issn.1673-193x.2016.04.024]
YE Gui,CHEN Mengli,WANG Hongxia.Study on classification of human factors in construction safety accidents[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(6):131.[doi:10.11731/j.issn.1673-193x.2016.04.024]
[4]闫文周,李超洋.建筑安全事故应急措施推理研究[J].中国安全生产科学技术,2016,12(11):136.[doi:10.11731/j.issn.1673-193x.2016.11.023]
YAN Wenzhou,LI Chaoyang.Research on reasoning of emergency measures for construction safety accident[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(6):136.[doi:10.11731/j.issn.1673-193x.2016.11.023]
[5]吴贤国,冯宗宝,王洪涛,等.基于动态元网络的地铁施工安全事故致因分析[J].中国安全生产科学技术,2019,15(3):141.[doi:10.11731/j.issn.1673-193x.2019.03.023]
WU Xianguo,FENG Zongbao,WANG Hongtao,et al.Analysis on causes of safety accidents in subway construction based on dynamic metanetwork[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(6):141.[doi:10.11731/j.issn.1673-193x.2019.03.023]
[6]王飞,胡小丽,魏玖长.跨区域应急协作视角下化工园区空间布局的失衡与应对策略分析[J].中国安全生产科学技术,2019,15(5):17.[doi:10.11731/j.issn.1673-193x.2019.05.003]
WANG Fei,HU Xiaoli,WEI Jiuchang.Analysis on unbalance and countermeasures of spatial layout for chemical industry parks from perspective of crossregion emergency cooperation[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(6):17.[doi:10.11731/j.issn.1673-193x.2019.05.003]