@article{Resnik:99,
        title = {Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language},
        author = {Philip Resnik},
        journal = {Journal of Artificial Intelligence Research},
        pages = {95--130},
        volume = 11,
        year = 1999,
        url = {http://www.cs.washington.edu/research/jair/abstracts/resnik99a.html},
        abstract = {This article presents a measure of semantic similarity in an IS-A taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The article presents algorithms that take advantage of taxonomic similarity in resolving syntactic and semantic ambiguity, along with experimental results demonstrating their effectiveness.},
	biburl = {http://www.bibsonomy.org/bibtex/2974ffd1fa9c1c16b8041b1ea2be377e4/seandalai},
	keywords = {compounds bracketing wordnet 1999}
}