Mapping Arabic Wikipedia into the Named Entities Taxonomy
Fahd Saleh Alotaibi, Mark Lee · International Conference on Computational Linguistics · 2012
This paper describes a comprehensive set of experiments conducted in o rder to classify Arabic Wikipedia articles into predefined sets of Named Entity classes. We tackle using fou r different classifiers, namely: Naive Bayes, Multinomial Naive Bayes, Support Vector Machin es, and Stochastic Gradient Descent. We report on several aspects related to classification models in the sense of feature representation, feature set and statistical modelling. The result s reported show that, we are able to correctly classify the articles with scores of 90% on Precision, Recall and balanced F-measure.