Measuring Verb Similarity
Abstract
The way we model semantic similarity is closely tied
to our understanding of linguistic representations. We
present several models of semantic similarity, based on
differing representational assumptions, and investigate
their properties via comparison with human ratings of
verb similarity. The results offer insight into the bases
for human similarity judgments and provide a testbed
for further investigation of the interactions among syn
tactic properties, semantic structure, and semantic con
tent.
(Also cross-referenced as UMIACS-TR-2000-40, LAMP-TR-047)