Unlike many other supervised or semi-supervised clustering tasks, the set of cluster labels to be inferred is disjoint from the gold standard labels.
we chose a two-step procedure: (1) A similarity score for each pair of synonymous words from the same dataset is inferred using supervised learning, and (2) these inferred similarities are used as input for unsupervised clustering.