Classifying wikipedia entities into fine-grained classes

Abstract

Recognition of named entities (people, companies, locations, etc) is an essential task of text analytics. We address the subproblem of this task, namely, named entity classification. We propose a novel approach that constructs an effective fine-grained named entity classifier. Its key highlights are semi-automatic training set construction from Wikipedia articles and additional feature selection. We justify our solution by creating 18-class classifier and demonstrating its effectiveness and efficiency. © 2011 IEEE.