In this paper, I demonstrate that verbs can be disambiguated according
to aspect by rules that examine the WordNet category of the direct
object.  First, when evaluated over a corpus of medical reports, I
show that WordNet categories correlate with aspectual class.  Then, I
develop a rule for distinguishing between {\it stative} and {\it
event} occurrences of {\it have} by the WordNet category of the direct
object.  This rule, which is motivated by both linguistic and
statistical analysis, is evaluated over an unrestricted set of nouns.
I also show that WordNet categories improve a system that performs
aspectual classification with linguistically-based numerical
indicators.