Fine grained classification of named entities in Wikipedia

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Fine grained classification of named entities in Wikipedia is a 2010 journal article written in English by Tkachenko M., Ulanov A., Simanovsky A. and published in HP Laboratories Technical Report.

[edit] Abstract

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 ofWikipedia 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. © Copyright 2010 Hewlett-Packard Development Company, L.P.

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