Criteria for the manual grouping of verb senses
Cecily Jill Duffield, Jena D. Hwang, Susan Windisch Brown, Dmitriy Dligach, Sarah E. Vieweg, Jenny L. Davis, Martha Stone Palmer · 2007
In this paper, we argue that clustering WordNet senses into more coarse-grained groupings results in higher inter-annotator agreement and increased system performance. Clustering of verb senses involves examining syntactic and semantic features of verbs and arguments on a case-by-case basis rather than applying a strict methodology. Determining appropriate criteria for clustering is based primarily on the needs of annotators.