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《Intelligent Computer and Applications》 2019-04
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Research on military domain entity relationship extraction based on BiLSTM_Att

ZHU Shanshan;TANG Huifeng;Luoyang Campus,Information Engineering University;Information Engineering University;  
The extraction of entity relations in the military field is an important step in the construction of knowledge maps of related systems in this field. In this paper,a physical extraction model based on BiLSTMand Attention is designed. The model is divided into three stages: word vector representation,sentence context feature extraction and relationship classification. In the stage of word vector representation,the model innovatively adds part-of-speech features. On the basis of experimental verification of relevant corpus,the results showthat the model has a good F value for military entity relationship extraction.
【CateGory Index】: TP391.1
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【Citations】
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 JIANG Fang;LI Guohe;YUE Xiang;NI Binshan;College of Geophysics and Information Engineering,China University of Petroleum;Key Lab of Data Mining for Petroleum Data,China University of Petroleum;Information & Data Center,CNOOC Research Institute;Chengde Petroleum College;;The Method of Semantic Relation between words Extraction[J];山西大学学报(自然科学版);2015-04
2 XU Qing;DUAN Liguo;LI Aiping;YIN Guimei;College of Computer Science and Technology,Taiyuan University of Technology;State Key Laboratory of Software Engineering,Wuhan University;Department of Computer Science and Technology ,Taiyuan Normal University;;Chinese entity relation extraction based on entity semantic similarity[J];山东大学学报(工学版);2015-06
3 LI Yong;PLA University of Foreign Languages;;Research on the Ontology Construction Based on Wikipedia[J];现代计算机(专业版);2015-11
4 Li He;;A Research of Micro Aggregation Services of the University Library Resources in Micro Information Environment[J];图书馆学研究;2015-04
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6 HUANG Wei-chun;FAN Shao-shuai;XIONG Li-yan;ZHONG Mao-sheng;School of Information,East China Jiaotong University;;People Relation Extraction Method Based on Feature Selection[J];科学技术与工程;2015-03
7 ZHANG Chun-ju;ZHANG Xue-ying;LI Ming;WANG Shu;School of Civil Engineering,Hefei University of Technology;Key Laboratory of Virtual Geographical Environment,Ministry of Education,Nanjing Normal University;;Interpretation of Temporal Information in Chinese Text[J];地理与地理信息科学;2014-06
8 LIU Lijia;GUO Jianyi;ZHOU Lanjiang;YU Zhengtao;SHAO Fa;ZHANG Jinpeng;The School of Information Engineering and Automation,Kunming University of Science and Technology;The Key Laboratory of Intelligent Information Processing,Kunming University of Science and Technology;;Domain Concepts Entity Attribute Relation Extraction Based on LM Algorithm[J];中文信息学报;2014-06
9 HU Ya-nan;HUI Hao-tian;QIAN Long-hua;ZHU Qiao-ming;Natural Language Processing Laboratory,School of Computer Science & Technology,Soochow University;;Bilingual co-training for relation classification via machine translation[J];计算机应用研究;2015-03
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