Criteria for the manual grouping of verb senses

Authors:
Cecily Jill Duffield;Jena D. Hwang;Susan Windisch Brown;Dmitriy Dligach;Sarah E. Vieweg;Jenny Davis;Martha Palmer
Affiliations:
University of Colorado, Boulder, CO;University of Colorado, Boulder, CO;University of Colorado, Boulder, CO;University of Colorado, Boulder, CO;University of Colorado, Boulder, CO;University of Colorado, Boulder, CO;University of Colorado, Boulder, CO
Venue:
LAW '07 Proceedings of the Linguistic Annotation Workshop
Year:
2007

Citing 3
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Abstract

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.