In fact, as we will see in Section 4, labeled data mostly provides evidence for combining clusters (thus increasing collocation), and, consequently, the ability to learn granularity is crucial.
a compromise is necessary between (a) learning the granularity from labeled data and (b) limiting the influence of unlabeled data on cluster granularity.