Duluth-WSI: SenseClusters Applied to the Sense Induction Task of SemEval-2

The Duluth-WSI systems in SemEval-2 built word co--occurrence matrices from the task test data to create a second order co--occurrence representation of those test instances. The senses of words were induced by clustering these instances, where the number of clusters was automatically predicted. The Duluth-Mix system was a variation of WSI that used the combination of training and test data to create the co-occurrence matrix. The Duluth-R system was a series of random baselines.