[1]姚贤明,甘健侯,徐坚.面向中文开放领域的多元实体关系抽取研究[J].智能系统学报,2019,14(3):597-604.[doi:10.11992/tis.201805006]
 YAO Xianming,GAN Jianhou,XU Jian.Chinese open domain oriented n-ary entity relation extraction[J].CAAI Transactions on Intelligent Systems,2019,14(3):597-604.[doi:10.11992/tis.201805006]
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面向中文开放领域的多元实体关系抽取研究

参考文献/References:
[1] CHINCHOR N, MARSH E. MUC-7 information extraction task definition (version 5.1)[C]//Proceedings of the Seventh Message Understanding Conference. Fairfax, Virginia, USA, 1998.
[2] 甘丽新, 万常选, 刘德喜, 等. 基于句法语义特征的中文实体关系抽取[J]. 计算机研究与发展, 2016, 53(2):284-302 GAN Lixin, WAN Changxuan, LIU Dexi, et al. Chinese named entity relation extraction based on syntactic and semantic features[J]. Journal of computer research and development, 2016, 53(2):284-302
[3] JAYRAM T S, KRISHNAMURTHY R, RAGHAVAN S, et al. AVATAR information extraction system[J]. IEEE data engineering bulletin, 2006, 29:1-9.
[4] SHEN W, DOAN A H, NAUGHTON J F, et al. Declarative information extraction using datalog with embedded extraction predicates[C]//Proceedings of the 33rd International Conference on Very Large Data Bases. Vienna, Austria, 2007:1033-1044.
[5] ZHAO Shubin, GRISHMAN R. Extracting relations with integrated information using kernel methods[C]//Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics. Ann Arbor, Michigan, 2005:419-426.
[6] TRATZ S, HOVY E. ISI:automatic classification of relations between nominals using a maximum entropy classifier[C]//Proceedings of the 5th International Workshop on Semantic Evaluation. Los Angeles, California, 2010:222-225.
[7] HASEGAWA T, SEKINE S, GRISHMAN R. Discovering relations among named entities from large corpora[C]//Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics. Barcelona, Spain, 2004:Article No.415.
[8] SHINYAMA Y, SEKINE S. Preemptive Information extraction using unrestricted relation discovery[C]//Proceedings of the Main Conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics. New York, USA, 2006:304-311.
[9] BANKO M, CAFARELLA M J, SODERLAND S, et al. Open information extraction from the web[C]//Proceedings of the 20th International Joint Conference on Artifical Intelligence. Hyderabad, India, 2007:2670-2676.
[10] SEKINE S, SUDO K, NOBATA C. Extended named entity hierarchy[C]//Proceedings of the 3rd International Conference on Language Resources and Evaluation. New York, USA, 2002:1818-1824.
[11] LING Xiao, WELD D S. Fine-grained entity recognition[C]//Proceedings of the 26th Conference on Advancement of Artificial Intelligence. Toronto, Canada, 2012:94-100.
[12] 杨博, 蔡东风, 杨华. 开放式信息抽取研究进展[J]. 中文信息学报, 2014, 28(4):1-11 YANG Bo, CAI Dongfeng, YANG Hua. Progress in open information extraction[J]. Journal of Chinese information processing, 2014, 28(4):1-11
[13] 徐增林, 盛泳潘, 贺丽荣, 等. 知识图谱技术综述[J]. 电子科技大学学报, 2016, 45(4):589-606 XU Zenglin, SHENG Yongpan, HE Lirong, et al. Review on knowledge graph techniques[J]. Journal of University of Electronic Science and Technology of China, 2016, 45(4):589-606
[14] YATES A, CAFARELLA M, BANKO M, et al. TextRunner:open information extraction on the web[C]//Proceedings ofHuman Language Technologies:the Annual Conference of the North American Chapter of the Association for Computational Linguistics:Demonstrations. Rochester, New York, USA, 2007:25-26.
[15] ETZIONI O, CAFARELLA M, DOWNEY D, et al. Unsupervised named-entity extraction from the Web:an experimental study[J]. Artificial intelligence, 2005, 165(1):91-134.
[16] WU Fei, WELD D S. Open information extraction using Wikipedia[C]//Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. Uppsala, Sweden, USA, 2010:118-127.
[17] FADER A, SODERLAND S, ETZIONI O. Identifying relations for open information extraction[C]//Proceedings of the Conference on Empirical Methods in Natural Language Processing. Edinburgh, United Kingdom, 2011:1535-1545.
[18] ETZIONI O, FADER A, CHRISTENSEN J, et al. Open information extraction:the second generation[C]//Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Barcelona, Catalonia, Spain, 2011:3-10.
[19] MINTZ M, BILLS S, SNOW R, et al. Distant supervision for relation extraction without labeled data[C]//Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the Afnlp. Suntec, Singapore, 2009:1003-1011.
[20] 李杨. 中文开放式实体关系抽取研究与实现[D]. 成都:电子科技大学, 2016. LI Yang. Research and implementation of Chinese open entity relation extraction[D]. Chengdu:University of Electronic Science and Technology of China, 2016.
[21] BANKO M, CAFARELLA M J, SODERLAND S, et al. Open information extraction from the web[C]//International Joint Conference on Artifical Intelligence, New York, USA, 2007:2670-2676.
[22] KAMBHATLA N. Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations[C]//Proceedings of the ACL 2004 on Interactive Poster and Demonstration Sessions. Barcelona, Spain, 2004:Article No.22.
[23] AKBIK A, L?SER A. KrakeN:N-ary facts in open information extraction[C]//Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-Scale Knowledge Extraction. Montreal, Canada, 2012:52-56.
[24] CHRISTENSEN J, MAUSAM, SODERLAND S, et al. An analysis of open information extraction based on semantic role labeling[C]//Proceedings of the Sixth International Conference on Knowledge Capture. Banff, Alberta, Canada, 2011:113-120.
[25] HOFFART J, SUCHANEK F M, BERBERICH K, et al. YAGO2:a spatially and temporally enhanced knowledge base from Wikipedia[J]. Artificial intelligence, 2013, 194:28-61.
[26] LING Xiao, WELD D S. Temporal information extraction[C]//Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence. Atlanta, Georgia, USA, 2010:1385-1390.
[27] WEIKUM G, NTARMOS N, SPANIOL M, et al. Longitudinal analytics on web archive data:it’s about time![C]//Proceedings of the Fifth Biennial Conference on Innovative Data Systems Research. Asilomar, USA, 2011:199-202.
[28] YADAV R, TANDAN S R. N-ary relation approach for open domain question answering system based on information extraction through world wide web[J]. International journal of engineering and applied sciences (IJEAS), 2015, 2(5):141-144.
[29] BERRAHOU S L, BUCHE P, DIBIE J, et al. Xart:discovery of correlated arguments of n-ary relations in text[J]. Expert systems with applications, 2017, 73:115-124.
[30] 秦兵, 刘安安, 刘挺. 无指导的中文开放式实体关系抽取[J]. 计算机研究与发展, 2015, 52(5):1029-1035 QIN Bing, LIU Anan, LIU Ting. Unsupervised chinese open entity relation extraction[J]. Journal of computer research and development, 2015, 52(5):1029-1035
[31] 赵军, 刘康, 周光有, 等. 开放式文本信息抽取[J]. 中文信息学报, 2011, 25(6):98-110 ZHAO Jun, LIU Kang, ZHOU Guangyou, et al. Open information extraction[J]. Journal of Chinese information processing, 2011, 25(6):98-110
[32] 王岁花, 赵爱玲, 马巍巍. 从Web中提取中文本体非分类关系的方法[J]. 计算机工程与设计, 2010, 31(2):451-454 WANG Suihua, ZHAO Ailing, MA Weiwei. Approach to extracting non-taxonomic relationships for Chinese ontology from web[J]. Computer Engineering and Design, 2010, 31(2):451-454
[33] 李明耀, 杨静. 基于依存分析的开放式中文实体关系抽取方法[J]. 计算机工程, 2016, 42(6):201-207 LI Mingyao, YANG Jing. Open Chinese entity relation extraction method based on dependency parsing[J]. Computer engineering, 2016, 42(6):201-207
[34] 古凌岚, 孙素云. 基于语义依存的中文本体非分类关系抽取方法[J]. 计算机工程与设计, 2012, 33(4):1676-1681 GU Linglan, SUN Suyun. Approach to Chinese ontology non-taxonomic relation extraction based on semantic dependency[J]. Computer engineering and design, 2012, 33(4):1676-1681
[35] QIU Likun, ZHANG Yue. ZORE:a syntax-based system for Chinese open relation extraction[C]//Processing of Conference on Empirical Methods in Natural Language. Doha, Qatar, 2014:1870-1880.
[36] Che W, Li Z, Liu T. LTP:A Chinese Language Technology Platform[C]//Proceedings of the Coling 2010, Demonstrations. 2010, Beijing, China, 2010:13-16.
[37] Zhang H, Yu H, Xiong D, et al. HHMM-based Chinese lexical analyzer ICTCLAS[J]. SIGHAN’ 03 Proceedings of the second SIGHAN workshop on Chinese language processing, 2003, 17:184-187.

备注/Memo

收稿日期:2018-05-07。
基金项目:国家自然科学基金项目(61562093);云南省应用基础研究计划重点项目(2016FA024).
作者简介:姚贤明,男,1984年生,讲师,主要研究方向为本体、知识图谱和问答系统。参与国家和省级科研项目10余项。发表学术论文6篇;甘健侯,男,1976年生,教授,博士生导师,主要研究方向为智能信息处理、计算机教育。主持国家自然科学基金项目3项,国家软科学项目3项,中央财政专项项目1项,教育部项目2项。发表学术论文50余篇,被SCI、EI、CSSCI检索20余篇,出版专著3部;徐坚,男,1977年生,副教授,主要研究方向为知识图谱、自然语言处理、教育信息化。发表学术论文40余篇,出版教材4部。
通讯作者:徐坚.E-mail:qjncxj@126.com

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