收稿日期: 2018-07-02
网络出版日期: 2018-07-04
基金资助
上海市科委基金资助项目(14590500500)
A graph-based method for multi-feature entity linking
Received date: 2018-07-02
Online published: 2018-07-04
周金, 朱永华, 张铁男, 邢毅雪, 张克 . 基于图的联合特征实体链接方法[J]. 上海大学学报(自然科学版), 2020 , 26(5) : 747 -755 . DOI: 10.12066/j.issn.1007-2861.2068
Entity linking refers to the process of linking entity mentioned in text with knowledge base entity, which is one of the key steps in knowledge graph and knowledge fusion. This paper proposes a graph-based method for multi-feature entity linking. This method first preprocesses the knowledge base and the text, then identifies the named entity references in the text, and then combines the semantic similarity of multiple features such as topics, context, metadata, etc. In the expanded graph model, the probability of restarting random walk is used, and the target candidate entity is selected by joint disambiguation. The results of experiment show that the joint feature-based entity linking method based on graphs effectively improves the effectiveness of entity linking.
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