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Enterprise Entity Extraction in News with Knowledge Base
Zhang Kuai #,Xin Xin *
School of Comp. Sci., Beijing Institute of Technology, Beijing,100081
*Correspondence author
#Submitted by
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Funding: Ph.D. Programs Foundation of Ministry of Education of China （No.No. 20131101120035)）
Opened online:28 April 2017
Accepted by: none
Citation: Zhang Kuai,Xin Xin.Enterprise Entity Extraction in News with Knowledge Base[OL]. [28 April 2017] http://en.paper.edu.cn/en_releasepaper/content/4728966
 
 
We focus on the issue of identify the name of enterprise in news text. The previous method only utilizes the textual information to extract the entities, in this paper, we introduce an enterprise knowledge base to generate short names of companies by man-made rules, then we filter the wrong candidates by their feature on the corpus. The experiment results show our mehtod which combiene the semantic feature and knowledge base information achieves a good performance on our news dataset.
Keywords:nature language process ; enterprise entity ; knowledge base
 
 
 

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