Criteria for the Manual Grouping of Verb Senses

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 caseby-case basis rather than applying a strict methodology. Determining appropriate criteria for clustering is based primarily on the needs of annotators.