To evaluate the effectiveness of the automatic classification, we adopted a simple baseline measure by ranking the 94 subclasses in descending order of the number of words they cover.
assuming the bigger the subclass size, the more likely it covers a new term, thus we compared the top-ranking subclasses with the classifications obtained from the automatic method using the cosine measure.