张涛,刘康,赵军. 一种基于图模型的维基概念相似度计算方法及其在实体链接系统中的应用[J]. 中文信息学报, 2015, 29(2): 58-67.
ZHANG Tao, LIU Kang, ZHAO Jun. A Graph-based Similarity Measure between Wikipedia Concepts and Its Application in Entity Linking System. , 2015, 29(2): 58-67.
一种基于图模型的维基概念相似度计算方法及其在实体链接系统中的应用
张涛,刘康,赵军
中国科学院自动化研究所 模式识别国家重点实验室,北京 100190)
A Graph-based Similarity Measure between Wikipedia Concepts and Its Application in Entity Linking System
ZHANG Tao, LIU Kang, ZHAO Jun
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, Beijing 100190, China
Abstract：Entity linking is the task of map entity mentions in a document to their entities in a knowledge base (KB). In this paper, we briefly introduce the traditional entity linking system and point out the key problem of entity linking system-the semantic similarity measure between the content of entity mention and the document of the candidate entity. And then, we propose a novel semantic relatedness measure between Wikipedia concepts based on the graph structure of Wikipedia. With this similarity measure, we present a novel learning to rank framework which leverage the rich semantic information derived from Wikipedia to deal with the entity lining task. Experiment results show that the performance of the system is comparable to the state-of-art result.
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2015, Vol. 29 
