[1] 刘浏, 王东波.命名实体识别研究综述[J]. 情报学报, 2018, 37(3): 329-340. LIU L, WANG D B.Summary of research on named entity recognition[J]. Acta Information, 2018, 37(3): 329-340.(in Chinese) [2] 王蕾, 谢云, 周俊生, 等. 基于神经网络的片段级中文命名实体识别[J]. 中文信息学报, 2018, 32(3): 84-90, 100. WANG L, XIE Y, ZHOU J S, et al. Segment-level Chinese named entity recognition based on neural network[J]. Journal of Chinese Information Processing, 2018, 32(3): 84-90, 100.(in Chinese) [3] KARJALA T W, HIMMELBLAU D M, MⅡKKULAINEN R.Data rectification using recurrent(Elman) neural networks[C]//Proceedings of International Joint Conference on Neural Networks.Washington D.C., USA:IEEE Press, 1992:901-905. [4] GRIDACH N.A framework based on (probabilistic)soft logic and neural network for NLP[J]. Applied Soft Computing Journal, 2020, 93:106-132. [5] LI X Y, ZHANG H, ZHOU X H.Chinese clinical named entity recognition with variant neural structures based on BERT methods[J]. Journal of Biomedical Informatics, 2020, 107:103-122. [6] HAMMERTON J.Named entity recognition with long short-term memory[C]//Proceedings of the 7th Conference on Natural Language Learning at HLT-NAACL.Philadelphia, USA:ACL Press, 2003:172-175. [7] COLLOBERT R, WESTON J, BOTTOU L, et al. Natural language processing(almost) from scratch[J]. Journal of Machine Learning Research, 2011, 12(1): 2493-2537. [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.Philadelphia, USA:ACL Press, 2016:260-270. [9] HUANG Z H, XU W, YU K.Bidirectional LSTM-CRF models for sequence tagging[EB/OL]. [2020-06-01]. https://arxiv.org/abs/1508.01991. [10] 买买提阿依甫, 吾守尔·斯拉木, 帕丽旦·木合塔尔, 等. 基于BiLSTM-CNN-CRF模型的维吾尔文命名实体识别[J]. 计算机工程, 2018, 44(8): 230-236. Maimaitiayifu, SILAMU Wushouer, MUHETAER Palidan, et al. Uyghur named entity recognition based on BiLSTM-CNN-CRF Model[J]. Computer Engineering, 2018, 44(8): 230-236.(in Chinese) [11] 李健龙, 王盼卿, 韩琪羽.基于双向LSTM的军事命名实体识别[J]. 计算机工程与科学, 2019, 41(4): 713-718. LI J L, WANG P Q, HAN Q Y.Recognition of military named entities based on two-way LSTM[J]. Computer Engineering and Science, 2019, 41(4): 713-718.(in Chinese) [12] 李明浩, 刘忠, 姚远哲.基于LSTM-CRF的中医医案症状术语识别[J]. 计算机应用, 2018, 38(S2): 42-46. LI M H, LIU Z, YAO Y Z.Symptom term re-cognition of traditional Chinese medicine records based on LSTM-CRF[J]. Computer Applications, 2018, 38(S2): 42-46.(in Chinese) [13] ZHANG Y, YANG J.Chinese NER using lattice LSTM[C]//Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics.Philadelphia, USA:ACL Press, 2018:1554-1564. [14] PETERS M E, NEUMANN M, IYYER M, et al. Deep contextualized word representations[C]//Proceedings of 2018 Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Philadelphia, USA:ACL Press, 2018:2227-2237. [15] RADFORD A, NARASIMHAN K, SALIMANS T, et al. Improving language understanding by generative pre-training[EB/OL]. [2020-06-01]. https://blog.csdn.net/leo_95/article/details/89965558. [16] DEVLIN J, CHANG M W, LEE K, et al. BERT:pre-training of deep bidirectional transformers for language understanding[C]//Proceedings of 2019 Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Philadelphia, USA:ACL Press, 2018:4171-4186. [17] PENG M L, XING X Y, ZHANG Q, et al. Distantly supervised named entity recognition using positive-unlabeled learning[EB/OL]. [2020-06-01]. https://arxiv.org/abs/1906.01378. [18] GHADDAR A, LANGLAIS P.Robust lexical features for improved neural network named-entity recognition[EB/OL]. [2020-06-01]. https://arxiv.org/abs/1806.03489. [19] 杨飘, 董文永.基于BERT嵌入的中文命名实体识别方法[J]. 计算机工程, 2020, 46(4): 40-45, 52. YANG P, DONG W Y.Chinese named entity recognition method based on BERT embedding[J]. Computer Engineering, 2020, 46(4): 40-45, 52.(in Chinese) [20] VASWANI A, SHAZEER N, PARMAR N, et al. Attention is all you need[EB/OL]. [2020-06-01]. https://www.researchgate.net/publication/317558625_Attention_Is_All_You_Need. [21] ZHU Y, WANG G, KARLSSON B F.CAN-NER:convolutional attention network for Chinese named entity recognition[EB/OL]. [2020-06-01]. https://arxiv.org/abs/1904.02141. [22] CHIU J, NICHOLS E.Named entity recognition with bidirectional LSTM-CNN[EB/OL]. [2020-06-01]. https://arxiv.org/abs/1511.08308. [23] 王洁, 张瑞东, 吴晨生.基于GRU的命名实体识别方法[J]. 计算机系统应用, 2018, 27(9): 18-24. WANG J, ZHANG R D, WU C S.Named entity recognition method based on GRU[J]. Computer Systems & Applications, 2018, 27(9): 18-24.(in Chinese) |