Measuring Verb Similarity
MARYLAND UNIV COLLEGE PARK INST FOR ADVANCED COMPUTER STUDIES
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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 rep- resentational 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 syntactic properties, semantic structure, and semantic content.