In this p a p e r we discuss the results of experiments which use a context, essentially an ordered set of lexical items, as the seed from which to build a network representing statistically important relationships a m o n g lexical items in some corpus. A metric is then applied to the nodes in the network in order to discover those pairs of items related by high indices of similarity. T h e goal of this research is to instantiate a class of items corresponding to each item in the priming context. .
