Entity disambiguation to Wikipedia using collective ranking
作者：
Highlights：
• We propose Feedback-query-expansion and Re-ranking methods which model the semantic relatedness of entities in one document.
• We demonstrate the effectiveness of our methods by comparing with the baseline systems on three data sets.
• Our team has scored in the top 3 teams across multiple metrics for the English EDL task in TAC2014.
摘要
•We propose Feedback-query-expansion and Re-ranking methods which model the semantic relatedness of entities in one document.•We demonstrate the effectiveness of our methods by comparing with the baseline systems on three data sets.•Our team has scored in the top 3 teams across multiple metrics for the English EDL task in TAC2014.
论文关键词：Named entity disambiguation,Feedback-query-expansion,Re-ranking
论文评审过程：Received 19 May 2015, Revised 18 April 2016, Accepted 10 June 2016, Available online 23 June 2016, Version of Record 28 September 2016.
论文官网地址：https://doi.org/10.1016/j.ipm.2016.06.002
