Natural Language Generation (NLG) systems require access to collocational information to help determine lexical choices constrained both by syntactic and semantic concerns. Constructing linguistic resources to support these decisions can be time-consuming whereas, if the information is extracted automatically, data sparsity limits the variety of the output. This paper reports on a method for ex...