CASIA OpenIR  > 数字内容技术与服务研究中心  > 听觉模型与认知计算
一种融合实体语义知识的实体集合扩展方法
齐振宇1,2; 刘康1,2; 赵军1,2
Source Publication中文信息学报
2013
Volume27Issue:2Pages:1-9
Other Abstract

Entity Set Expansion is one of the important problems in Open Information Extraction.Entity Set Expan- sion refers to expanding several given seds of one concept into a more complete set.Most approaches solve the problem by using context or distributional informationsufering from the limitation of sed ambiguity problem which results in poor results.In this paper we present a novel method which introduces the semantic knowledge by leveraging Wikipedia knowledge base.We combine this method with traditional template based method.Experiment results show that the proposed method improves 18.5% in precision6.8% in recal and 22.8% in MAP. 


Keyword实体集合扩展 知识库 语义知识
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11085
Collection数字内容技术与服务研究中心_听觉模型与认知计算
Corresponding Author刘康
Affiliation1.中国科学院 自动化研究所
2.模式识别国家重点实验室
Recommended Citation
GB/T 7714
齐振宇,刘康,赵军. 一种融合实体语义知识的实体集合扩展方法[J]. 中文信息学报,2013,27(2):1-9.
APA 齐振宇,刘康,&赵军.(2013).一种融合实体语义知识的实体集合扩展方法.中文信息学报,27(2),1-9.
MLA 齐振宇,et al."一种融合实体语义知识的实体集合扩展方法".中文信息学报 27.2(2013):1-9.
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