Citation: | SUN Chen, FU Ying-nan, CHENG Wen-liang, QIAN Wei-ning. Chinese named entity relation extraction for enterprise knowledge graph construction[J]. Journal of East China Normal University (Natural Sciences), 2018, (3): 55-66. doi: 10.3969/j.issn.1000-5641.2018.03.007 |
[1] |
PUJARA J, MIAO H, GETOOR L, et al. Knowledge graph identification[C]//International Semantic Web Conference. New York: Springer-Verlag, Inc, 2013: 542-557.
|
[2] |
DESHPANDE O, LAMBA D S, TOURN M, et al. Building, maintaining, and using knowledge bases: A report from the trenches[C]//ACM SIGMOD International Conference on Management of Data. ACM, 2013: 1209-1220.
|
[3] |
HEARST M A. Automatic acquisition of hyponyms from large text corpora[C]//Proceeding of the 14th Conference on Computational Linguistics. 1992: 539-545.
|
[4] |
WU W T, LI H S, WANG H X, et al. Probase: A probabilistic taxonomy for text understanding[C]//Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data. ACM, 2012: 481-492.
|
[5] |
ZHOU G D, SU J, ZHANG J, et al. Exploring various knowledge in relation extraction[C]//Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics. 2005: 427-434.
|
[6] |
ZHOU G D, ZHANG M, JI D H, et al. Tree kernel-based relation extraction with context-sensitive structured parse Tree information[C]//Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. DBLP, 2007: 728-736.
|
[7] |
BRIN S. Extracting patterns and relations from the World Wide Web[C]//WebDB'98 Selected Papers from the International Workshop on the World Wide Web and Databases. Berlin: Springer, 1998: 172-183.
|
[8] |
AGICHTEIN E, GRAVANO L. Snowball: Extracting relations from large plain-text collections[C]//ACM Conference on Digital Libraries. ACM, 2000: 85-94.
|
[9] |
HASEGAWA T, SEKINE S, GRISHMAN R. Discovering relations among named entities from large corpora[C]//Meeting on Association for Computational Linguistics. Association for Computational Linguistics, 2004: 415.
|
[10] |
郭喜跃, 何婷婷, 胡小华, 等.基于句法语义特征的中文实体关系抽取[J].中文信息学报, 2014, 28(6):183-189. http://www.cqvip.com/QK/94913X/201602/667967451.html
|
[11] |
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. Association for Computational Linguistics, 2004: Article No 22.
|
[12] |
RATNAPARKHI A. Maximum entropy models for natural language ambiguity resolution[D]. Pennsylvania: University of Pennsylvania, 1998.
|
[13] |
李丹. 基于朴素贝叶斯方法的中文文本分类研究[D]. 石家庄: 河北大学, 2011.
|
[14] |
薛俊欣. 条件随机场模型研究及应用[D]. 济南: 山东大学, 2014.
|
[15] |
DARROCH J N, RATCLIFF D. Generalized iterative scaling for log-linear models[J]. Annals of Mathematical Statistics, 1972, 43(5):1470-1480. doi: 10.1214/aoms/1177692379
|
[16] |
BERGER A. The improved iterative scaling algorithm: A gentle introduction[R/OL]. (1997-12-12)[2017-05-19]. http://www.doc88.com/p-1806889293798.html.
|
[17] |
胡宝顺, 王大玲, 于戈, 等.基于句法结构特征分析及分类技术的答案提取算法[J].计算机学报, 2008, 31(4):662-676. http://www.docin.com/p-10505523.html
|
[18] |
OLSON D L, DELEN D. Advanced Data Mining Techniques[M]. Berlin:Springer, 2008.
|