We find that this classifier works well in the Wikipedia, but, as could be expected, performance decreases in a corpus of judgments of the European Court of Human Rights.
the O class made more than 90% of the instances, so we randomly subsampled non-named entity words to make it at most 50% of the corpus, so that classifiers would not be too biased.