These results suggest that the two measures of word centrality, Net Overlap Score based on multiple STEP runs and the inter-annotator agreement (HM vs. GI-H4), are directly related 7 .
the Net Overlap Score can serve as a useful tool in the identification of core and peripheral members of a fuzzy lexical category, as well as in predic-tion of inter-annotator agreement and system performance on a subgroup of words characterized by a given Net Overlap Score value.