  In this paper, we describe ROOT13, a supervised system for the classification
of hypernyms, co-hyponyms and random words. The system relies on a Random
Forest algorithm and 13 unsupervised corpus-based features. We evaluate it with
a 10-fold cross validation on 9,600 pairs, equally distributed among the three
classes and involving several Parts-Of-Speech (i.e. adjectives, nouns and
verbs). When all the classes are present, ROOT13 achieves an F1 score of 88.3%,
against a baseline of 57.6% (vector cosine). When the classification is binary,
ROOT13 achieves the following results: hypernyms-co-hyponyms (93.4% vs. 60.2%),
hypernymsrandom (92.3% vs. 65.5%) and co-hyponyms-random (97.3% vs. 81.5%). Our
results are competitive with stateof-the-art models.
