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                [11]    Liu ZX, Zhu CH, Zhao TJ. Chinese named entity recognition with a sequence labeling approach: based on characters, or based on
                     words? In: Proc. of the Int’l Conf. on Intelligent Computing. 2010. 634−640.
                [12]    Lu YN, Zhang Y, Ji DH. Multi-prototype Chinese character embedding. In: Proc. of the 10th Int’l Conf. on Language Resources
                     and Evaluation. 2016. 855−859.
                [13]    Zhang Y,  Yang J.  Chinese  NER using lattice lstm.  In: Proc. of  the 56th  Annual Meeting  of the  Association for  Computational
                     Linguistics (ACL). 2018. 1554−1564.
                [14]    Xu CW, Wang FY, Han JL, Li CL. Exploiting multiple embeddings for chinese named entity recognition. In: Proc. of the 28th
                     ACM Int’l Conf. on Information and Knowledge Management. 2019. 2269−2272.
                [15]    Luo Y, Xiao FS, Zhao H. Hierarchical contextualized representation for named entity recognition. In: Proc. of the 35th AAAI Conf.
                     on Artificial Intelligence. 2020. 8441−8448.
                [16]    Li XY, Feng JR, Meng YX, Han QH, Wu F, Li JW. A unified MRC framework for named entity recognition. In: Proc. of the 58th
                     Annual Meeting of the Association for Computational Linguistics (ACL). 2020. 5849−5859.
                [17]    Liu YH, Ott  M, Goyal  N, Du JF, Joshi M, Chen DQ, Levy O, Lewis  M, Zettlemoyer L,  Stoyanov V.  RoBERTa: A  robustly
                     optimized BERT pretraining approach. arXiv preprint arXiv:1907.11692, 2019.

                 附中文参考文献:
                 [6]  向晓雯,史晓东,曾华琳.一个统计与规则相结合的中文命名实体识别系统.计算机应用,2005,25(10):2404−2406.
                 [7]  张传岩,洪晓光,彭朝晖,李庆忠.基于 SVM 和扩展条件随机场的 Web 实体活动抽取.软件学报,2012,23(10):2612−2627. http://
                    www.jos.org.cn/1000-9825/4189.htm [doi: 10.3724/SP.J.1001.2012.04189]
                 [8]  彭嘉毅,方勇,黄诚,刘亮,姜政伟.基于深度主动学习的信息安全领域命名实体识别研究.四川大学学报(自然科学版),2019,56(3):
                    457−462.



                              琚生根(1970-),男,博士,教授,CCF 专业                    孙界平(1962-),男,副教授,CCF 专业会
                              会员,主要研究领域为数据挖掘,自然语言                          员,主要研究领域为智能信息处理,智慧
                              处理,知识图谱.                                     教育.



                              李天宁(1996-),男,硕士,主要研究领域为
                              数据挖掘,自然语言处理,知识图谱.
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