Title

Meaningful Clusters

Author(s)

Antonio Sanfilippo, Gus Calapristi, Vernon Crow, Beth Hetzler, Alan Turner

Pacific Northwest National Laboratory, Richland, WA, USA

Session

O16-EW

Abstract

We present an approach to the disambiguation of cluster labels that capitalizes on the notion of semantic similarity to assign WordNet senses to cluster labels. The approach provides interesting insights on how document clustering can provide the basis for developing a novel approach to word sense disambiguation.

Keyword(s)

word sense disambiguation, document clustering, semantic similarity, WordNet

Language(s)

English

Full Paper

406.pdf