XLink:An Unsupervised Bilingual Entity Linking System

摘要：

　　Entity linking is a task of linking mentions in text to thecorresponding entities in a knowledge base.Recently,entity linking has received considerable attention and several online entity linking systems have been published.In this paper,we build an online bilingual entity linking system XLink,which is based on Wikipeida and Baidu Baike.XLink conducts two steps to link the mentions in the input document to entities in knowledge base,namely mention parsing and entity dis-ambiguation.To eliminate dependency of language,we conduct mention parsing without any named entity recognition tools.To ensure the cor-rectness of linking results,we propose an unsupervised generative prob-abilistic method and utilize text and knowledge joint representations to perform entity disambiguation.Experiments show that our system gets a state-of-the-art performance and a high time effciency.

关键词： Entity Linking System Entity Disambiguation Mention Detection

作者: Jing Zhang Yixin Cao Lei Hou Juanzi Li Hai-Tao Zheng

作者单位: Department of Computer Science and Technology,Tsinghua University,Beijing 100084,P.R.China

会议类型: 国内会议

会议名称: 第十六届全国计算语言学学术会议暨第五届基于自然标注大数据的自然语言处理国际学术研讨会

会议地点: 南京

会议语种:英文

页码: 1-12

在线出版日期: 2017-10-13（万方平台首次上网日期，不代表论文的发表时间）