[1] ZHU Q,LI X,CONESA A,et al.GRAM-CNN:a deep learning approach with local context for named entity recognition in biomedical text[J].Bioinformatics,2017,34(9):1547-1554. [2] GRIDACH M.Character-level neural network for biomedical named entity recognition[J].Journal of Biomedical Informatics,2017,70:85-91. [3] ZHOU Xiaolei,ZHAO Xuejiao,LIU Tangliang,et al.Named entity recognition method of judgment documents with SVM-BiLSTM-CRF[J].Computer Systems & Applications,2019,28(1):245-250.(in Chinese)周晓磊,赵薛蛟,刘堂亮,等.基于SVM-BiLSTM-CRF模型的财产纠纷命名实体识别方法[J].计算机系统应用,2019,28(1):245-250. [4] MAI K,PPHAM T H,NGUYEN M T,et al.An empirical study on fine-grained named entity recognition[C]//Proceedings of the 27th IEEE International Conference on Computational Linguistics.Washington D.C.,USA:IEEE Press,2018:711-722. [5] CHEN Ningyu,ZHOU Yaqian,HUANG Xuanjing,et al.Named entity recognition with un-annotated data[J].Journal of Chinese Information Processing,2005,19(2):8-12.(in Chinese)陈宁昱,周雅倩,黄萱菁,等.利用未标注语料改进实体名识别性能[J].中文信息学报,2005,19(2):8-12. [6] WANG Haochang,ZHAO Tiejun.SVM-based biomedical name entity recognition[J].Journal of Harbin Engineering University,2006,27(z1):570-574.(in Chinese)王浩畅,赵铁军.基于SVM的生物医学命名实体的识别[J].哈尔滨工程大学学报,2006,27(z1):570-574. [7] SHAN Yidong,WANG Hengjun,HUANG He,et al.Study on named entity recognition model based on attention mechanism-taking military text as example[J].Computer Science,2019,46(z1):111-114.(in Chinese)单义栋,王衡军,黄河,等.基于注意力机制的命名实体识别模型研究——以军事文本为例[J].计算机科学,2019,46(z1):111-114. [8] LAMPLE G,BALLESTEROS M,SUBRAMANIAN S,et al.Neural architectures for named entity recognition[C]//Proceedings of 2016 Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Washington D.C.,USA:IEEE Press,2016:260-270. [9] XU Jingjing,HE Hangfang,SUN Xu,et al.Cross-domain and semi-supervised named entity recognition in Chinese social media:a unified model[J].IEEE/ACM Transactions on Audio,Speech,and Language Processing,2018,26(11):2142-2152. [10] CHIU J P C,NICHOLS E.Named entity recognition with bidirectional LSTM-CNNs[J].Transactions of the Association for Computational Linguistics,2016,4(1):357-370. [11] MA X,HOVY E.End-to-end sequence labeling via bi-directional LSTM-CNNs-CRF[C]//Proceedings of the 54th Annual Meeting of the Association for Computa-tional Linguistics.Washington D.C.,USA:IEEE Press,2016:1-12. [12] ZHONG Jiang,LIU Longhai,LIANG Chuanwei. Active semi-supervised text clustering based on pairwise constraints[J].Computer Engineering,2011,37(13):183-186.(in Chinese)钟将,刘龙海,梁传伟.基于成对约束的主动半监督文本聚类[J].计算机工程,2011,37(13):183-186. [13] SU Fang,WANG Xiaoyu,ZHANG Zhi.Review summariza-tion generation based on attention mechanism[J].Journal of Beijing University of Posts and Telecommunications,2018,41(3):7-13.(in Chinese)苏放,王晓宇,张治.基于注意力机制的评论摘要生成[J].北京邮电大学学报,2018,41(3):7-13. [14] WANG Hong,SHI Jinchuan,ZHANG Zhiwei.Text semantic relation extraction of LSTM based on attention mechanism[J].Application Research of Computers,2018,35(5):1417-1420.(in Chinese)王红,史金钏,张志伟.基于注意力机制的LSTM的语义关系抽取[J].计算机应用研究,2018,35(5):1417-1420. [15] QIN Pengda,XU Weiran,GUO Jun.Designing an adaptive attention mechanism for relation classification[C]//Proceedings of 2017 International Joint Conference on Neural Networks.Washington D.C.,USA:IEEE Press,2017:334-346. [16] ZHOU Ying,LIU Yue,CAI Jun.Sentiment analysis of micro-blogs based on attention mechanism[J].Information Studies:Theory & Application,2018,41(3):89-94.(in Chinese)周瑛,刘越,蔡俊.基于注意力机制的微博情感分析[J].情报理论与实践,2018,41(3):89-94. [17] YU F,KOLTUN V.Multi-scale context aggregation by dilated convolutions[EB/OL].[2019-08-10].https://arxiv.org/abs/1511.07122. [18] YANG Z,HU Z,SALAKHUTDINOV R,et al.Improved variational autoencoders for text modeling using dilated convolutions[C]//Proceedings of the 34th International Conference on Machine Learning-Volume.Washington D.C.,USA:IEEE Press,2017:3881-3890. [19] GAO Lin,SONG Weidong,TAN Hai,et al.Cloud detection based on multi-scale dilation convolutional neural network for ZY-3 satellite remote sensing imagery[J].Acta Optica Sinica,2019,39(1):299-307.(in Chinese)高琳,宋伟东,谭海,等.多尺度膨胀卷积神经网络资源三号卫星影像云识别[J].光学学报,2019,39(1):299-307. [20] SUN Jun,HE Xiaofei,TAN Wenjun,et al.Recognition of crop seedling and weed recognition based on dilated convolution and global pooling in CNN[J].Transactions of the Chinese Society of Agricultural Engineering,2018,34(11):159-165.(in Chinese)孙俊,何小飞,谭文军,等.空洞卷积结合全局池化的卷积神经网络识别作物幼苗与杂草[J].农业工程学报,2018,34(11):159-165. [21] YANG Wenming,CHU Weijie.Named entity recognition of online medical question answering text[J].Computer Systems & Applications,2019,28(2):10-16.(in Chinese)杨文明,褚伟杰.在线医疗问答文本的命名实体识别[J].计算机系统应用,2019,28(2):10-16. |