Fine Grained Classification of Named Entities In Wikipedia

Tkachenko, Maksim ; Ulanov, Alexander ; Simanovsky, Andrey

HP Development Company

关键词: named entity recognition;    Wikipedia;    classification;   

RP-ID  :  HPL-2010-166

学科分类：计算机科学（综合）

美国|英语

来源: HP Labs

【 摘 要 】

This report describes the study on classifying Wikipedia articles into an extended set of named entity classes. We employed semi-automatic method to extend Wikipedia class annotation and created a training set for 15 named entity classes. We implemented two classifiers. A binary named-entity classifier decides between articles about named entities and other articles. A support vector machine (SVM) classifier trained on a variety of Wikipedia features determines the class of a named entity. Combination of the two classifiers helped us to boost classification quality and obtain classification quality that is better than state of the art.