  Word groupings useful for language processing tasks are increasingly
available, as thesauri appear on-line, and as distributional word clustering
techniques improve. However, for many tasks, one is interested in relationships
among word {\em senses}, not words. This paper presents a method for automatic
sense disambiguation of nouns appearing within sets of related nouns --- the
kind of data one finds in on-line thesauri, or as the output of distributional
clustering algorithms. Disambiguation is performed with respect to WordNet
senses, which are fairly fine-grained; however, the method also permits the
assignment of higher-level WordNet categories rather than sense labels. The
method is illustrated primarily by example, though results of a more rigorous
evaluation are also presented.
