·512· 智能系统学报 第11卷 recognition in modern standard Arabic[D].Manchester: [21]NGUYEN V H,NGUYEN H T,SNASEL V.Named entity University of Salford,2009. recognition in Vietnamese tweets[M//THAI M T. [12]MORWAL S,JAHAN N,CHOPRA D.Named entity NGUYEN N P,SHEN Huawei.Computational Social recognition using Hidden Markov Model (HMM)[J]. Networks.Switzerland:Springer International Publishing International journal on natural language computing,2012, 2015:205-215 1(4:15-23. [22]SAM R C,LE H T,NGUYEN T T,et al.Combining [13]AHMED I,SATHYARAJ R.Named entity recognition by proper name-coreference with conditional random fields using maximum entropy[J].International journal of for semi-supervised named entity recognition in database theory and application,2015,8(2):43-50. Vietnamese text[M]//HUANG J Z,CAO Longbing. [14张玥杰，徐智婷，薛向阳.融合多特征的最大熵汉语命 SRIVASTAVA J.Advances in Knowledge Discovery and 名实体识别模型[U.计算机研究与发展，2008,45(6)： Data Mining.Berlin Heidelberg:Springer,2011:512-524. 1004-1010 [23]闫丹辉，毕玉德.基于规则的越南语命名实体识别研究 ZHANG Yuejie,XU Zhiting,XUE Xiangyang.Fusion of [.中文信息学报，2014,28(5)少：198-205,214. multiple features for Chinese named entity recognition YAN Danhui,BI Yude.Rule-based recognition of based on maximum entropy model[J].Journal of Vietnamese named entities[J].Journal of Chinese computer research and development,2008,45(6): information processing,2014,28(5):198-205,214. 1004-1010: [24潘清清，周枫，余正涛，等.基于条件随机场的越南语 [15]BENAJIBA Y,DIAB M,ROSSO P.Arabic named entity 命名实体识别方法).山东大学学报：理学版，20141) recognition:an SVM-based approach[J].IEEE 76-79 transactions on audio,speech and language processing. PAN Qingqing,ZHOU Feng,YU Zhengtao,et al. special issue on processing morphologically rich Recognition method of Vietnamese named entity based on languages,.2009,15(5):926-934. conditional random fields[J].Journal of Shandong [16]潘正高.基于规则和统计相结合的中文命名实体识别 university:natural science,2014(1):76-79. 研究J.情报科学，2012,30(5)：708-712,786 作者简介： PAN Zhenggao.Research on the recognition of Chinese named entity based on rules and statistics[J.Information 刘艳超，男，1990年生，硕士研 science,2012,30(5):708-712,786. 究生，主要研究方向为自然语言处理与 [17刀蔡月红，朱倩，程显毅.基于ri-training半监督学习的 信息抽取。 中文组织机构名识别).计算机应用研究，2010,27(1)： 193-195. CAI Yuehong,ZHU Qian,CHENG Xianyi.Chinese organization names recognition with Tri-training learning[J].Application research of computers,2010, 郭剑毅.女，1964年生，教授， 27(1):193-195. 主要研究方向为自然语言处理、信息抽 [18]BISWAS S,MOHANTY S,MISHRA S P.A Hybrid Oriya named entity recognition system:integrating HMM with 取、机器学习。主持并参与了多项国家 MaxEnt[C]//Proceedings of the Second International 自然科学基金、云南省信息技术重大专 Conference on Emerging Trends in Engineering 项基金、云南省自然科学基金，获得云 Technology.Nagpur:IEEE,2009:639-643. 南省科技进步一等奖1项、云南省自然 [19]MESELHI M A,BAKR H M A,ZIEDAN I,et al.A novel 科学二等奖各1项。发表学术论文60 hybrid approach to Arabic named entity 余篇，主编教材2部。 recognition[M]//SHI Xiaodong,CHEN Yidong.Machine Translation.Communications in Computer and 余正涛，男，1970年生.教授. Information Science.Berlin Heidelberg:Springer,2014, 博士生导师，博士，主要研究方向为自 493(1):93-103. 然语言处理、信息检索、机器学习。以 [20]尹继豪，樊孝忠，赵攀超，等.基于组块分析技术的中 排名第一获得云南省科技进步一等奖、 文机构名称识别[J.哈尔滨工程大学学报，2006.27(S1): 云南省自然科学二等奖、云南省科技进 466-470. YIN Jihao,FAN Xiaozhong,ZHAO Panchao,et al. 步三等奖各1项。发表学术论文150余 Identification of Chinese organization name based on 篇.被SCI、EI检索80余篇。 Chinese chunking[J].Journal of Harbin engineering university,.2006,27(S1)y466-470.·512· 智 能 系 统 学 报 第 11 卷 recognition in modern standard Arabic[D]. Manchester: University of Salford, 2009. [12] MORWAL S, JAHAN N, CHOPRA D. Named entity recognition using Hidden Markov Model (HMM)[J]. International journal on natural language computing, 2012, 1(4): 15-23. [13] AHMED I, SATHYARAJ R. Named entity recognition by using maximum entropy[J]. International journal of database theory and application, 2015, 8(2): 43-50. [14] 张玥杰, 徐智婷, 薛向阳. 融合多特征的最大熵汉语命 名实体识别模型[J]. 计算机研究与发展, 2008, 45(6): 1004-1010. ZHANG Yuejie, XU Zhiting, XUE Xiangyang. Fusion of multiple features for Chinese named entity recognition based on maximum entropy model[J]. Journal of computer research and development, 2008, 45(6): 1004-1010. [15] BENAJIBA Y, DIAB M, ROSSO P. Arabic named entity recognition: an SVM-based approach[J]. IEEE transactions on audio, speech and language processing. special issue on processing morphologically rich languages, 2009, 15(5): 926-934. [16] 潘正高. 基于规则和统计相结合的中文命名实体识别 研究[J]. 情报科学, 2012, 30(5): 708-712, 786. PAN Zhenggao. Research on the recognition of Chinese named entity based on rules and statistics[J]. Information science, 2012, 30(5): 708-712, 786. [17] 蔡月红, 朱倩, 程显毅. 基于 Tri-training 半监督学习的 中文组织机构名识别[J]. 计算机应用研究, 2010, 27(1): 193-195. CAI Yuehong, ZHU Qian, CHENG Xianyi. Chinese organization names recognition with Tri-training learning[J]. Application research of computers, 2010, 27(1): 193-195. [18] BISWAS S, MOHANTY S, MISHRA S P. A Hybrid Oriya named entity recognition system: integrating HMM with MaxEnt[C]//Proceedings of the Second International Conference on Emerging Trends in Engineering & Technology. Nagpur: IEEE, 2009: 639-643. [19] MESELHI M A, BAKR H M A, ZIEDAN I, et al. A novel hybrid approach to Arabic named entity recognition[M]//SHI Xiaodong, CHEN Yidong. Machine Translation. Communications in Computer and Information Science. Berlin Heidelberg: Springer, 2014, 493(1): 93-103. [20] 尹继豪, 樊孝忠, 赵攀超, 等. 基于组块分析技术的中 文机构名称识别[J]. 哈尔滨工程大学学报, 2006, 27(S1): 466-470. YIN Jihao, FAN Xiaozhong, ZHAO Panchao, et al. Identification of Chinese organization name based on Chinese chunking[J]. Journal of Harbin engineering university, 2006, 27(S1): 466-470. [21] NGUYEN V H, NGUYEN H T, SNASEL V. Named entity recognition in Vietnamese tweets[M]//THAI M T, NGUYEN N P, SHEN Huawei. Computational Social Networks. Switzerland: Springer International Publishing, 2015: 205-215. [22] SAM R C, LE H T, NGUYEN T T, et al. Combining proper name-coreference with conditional random fields for semi-supervised named entity recognition in Vietnamese text[M]//HUANG J Z, CAO Longbing, SRIVASTAVA J. Advances in Knowledge Discovery and Data Mining. Berlin Heidelberg: Springer, 2011: 512-524. [23] 闫丹辉, 毕玉德. 基于规则的越南语命名实体识别研究 [J]. 中文信息学报, 2014, 28(5): 198-205, 214. YAN Danhui, BI Yude. Rule-based recognition of Vietnamese named entities[J]. Journal of Chinese information processing, 2014, 28(5): 198-205, 214. [24] 潘清清, 周枫, 余正涛, 等. 基于条件随机场的越南语 命名实体识别方法[J]. 山东大学学报: 理学版, 2014(1): 76-79. PAN Qingqing, ZHOU Feng, YU Zhengtao, et al. Recognition method of Vietnamese named entity based on conditional random fields[J]. Journal of Shandong university: natural science, 2014(1): 76-79. 作者简介： 刘艳超，男，1990 年生，硕士研 究生，主要研究方向为自然语言处理与 信息抽取。 郭剑毅，女，1964 年生，教授， 主要研究方向为自然语言处理、信息抽 取、机器学习。主持并参与了多项国家 自然科学基金、云南省信息技术重大专 项基金、云南省自然科学基金，获得云 南省科技进步一等奖 1 项、云南省自然 科学二等奖各 1 项。发表学术论文 60 余篇，主编教材 2 部。 余正涛，男，1970 年生，教授， 博士生导师，博士，主要研究方向为自 然语言处理、信息检索、机器学习。以 排名第一获得云南省科技进步一等奖、 云南省自然科学二等奖、云南省科技进 步三等奖各 1 项。发表学术论文 150 余 篇，被 SCI、EI 检索 80 余篇