【摘 要】
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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 syst
【机 构】
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Department of Computer Science and Technology,Tsinghua University,Beijing 100084,P.R.China
【出 处】
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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
论文部分内容阅读
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.
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