@misc{resnik1995using, abstract = {This paper presents a new measure of semantic similarity in an IS-A taxonomy, based on the notion of information content. Experimental evaluation suggests that the measure performs encouragingly well (a correlation of r = 0.79 with a benchmark set of human similarity judgments, with an upper bound of r = 0.90 for human subjects performing the same task), and significantly better than the traditional edge counting approach (r = 0.66).}, author = {Resnik, Philip}, file = {resnik1995using.pdf:resnik1995using.pdf:PDF}, interhash = {746146003bcba4f1df57044178a1b9ac}, intrahash = {454781d9c6deadeae45d0eba0d0cdf91}, lastdatemodified = {2006-09-25}, lastname = {Resnik}, own = {notown}, pdf = {resnik95-using.pdf}, read = {notread}, title = {Using Information Content to Evaluate Semantic Similarity in a Taxonomy}, url = {http://www.citebase.org/abstract?id=oai:arXiv.org:cmp-lg/9511007}, year = 1995 }