%0 Journal Article %1 Resnik:99 %A Resnik, Philip %D 1999 %J Journal of Artificial Intelligence Research %K 1999 bracketing compounds wordnet %P 95--130 %T Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language %U http://www.cs.washington.edu/research/jair/abstracts/resnik99a.html %V 11 %X 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.

@article{Resnik:99, 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.}, added-at = {2007-10-15T16:38:19.000+0200}, author = {Resnik, Philip}, biburl = {https://www.bibsonomy.org/bibtex/2974ffd1fa9c1c16b8041b1ea2be377e4/seandalai}, interhash = {dc50c8987ffb655dbf5dc0ddc7bf42e8}, intrahash = {974ffd1fa9c1c16b8041b1ea2be377e4}, journal = {Journal of Artificial Intelligence Research}, keywords = {1999 bracketing compounds wordnet}, pages = {95--130}, timestamp = {2007-10-15T16:38:20.000+0200}, title = {Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language}, url = {http://www.cs.washington.edu/research/jair/abstracts/resnik99a.html}, volume = 11, year = 1999 }