Computing Similarities between Natural Language Descriptions of Knowledge and Skills

This paper explores the problem of computing text similarity utilizing natural language processing. Four parsers are evaluated on a large corpus of skill statements from a corporate expertise taxonomy. A similarity measure utilizing common semantic role features extracted from parse trees was found superior to an information-theoretic measure of similarity and comparable to human judgments of similarity.