In order to discourage the classifiers from overtraining on negative evidence, we constructed the gold-standard training data from unambiguously negative exemplars and potentially ambiguous positive exemplars.
we would like classifiers to judge a target noun as not belonging to a given countability class only in the absence of positive evidence for that class.