Simple Yet Effective Method for Entity Linking in Microblog-Genre Text

摘要：

　　Semantic analysis microblog data is a challenging, emerging research area.Unlike news text, microblogs pose several new challenges, due to their short, noisy, contextualized and real-time nature.In this paper, we investigate how to link entities in microblog posts with knowledge base and adopt a cascade linking approach.In particular, we first use a mention expansion model to identify all possible entities in the knowledge base for a mention based on a variety of sources.Then we link the mentions with the corresponding entities in the knowledge base by collectively considering lexical matching, popularity probability and textual similarity.

作者: Qingliang Miao Huayu Lu Shu Zhang Yao Meng

作者单位: Fujitsu Research & Development Center CO., LTD, No.56 Dong Si Huan Zhong Rd, Chaoyang District, Beijing, China

会议类型: 国际会议

会议名称: Second CCF Conference,NLPCC2013(第二届自然语言处理与中文计算会议)

会议地点: 重庆

会议语种:英文

页码: 440-447

在线出版日期: 2013-11-15（万方平台首次上网日期，不代表论文的发表时间）