In the future, we would like to experiment with combining our method with other techniques for multilingual NER (Section 2), including parallel projection and the automatic generation of training data from Wikipedia.
it makes sense that high-resource languages are better training languages because 1) there are more annotated training instances, 2) larger Wikipedia creates denser wikifier features, therefore providing better estimation of the weights to these features.