Evaluating WordNet-based Measures of Lexical Semantic Relatedness Export

@article{citeulike:548343, abstract = {The quantification of lexical semantic relatedness has many applications in NLP, and many different measures have been proposed. We evaluate five of these measures, all of which use WordNet as their central resource, by comparing their performance in detecting and correcting real-word spelling errors. An information-content–based measure proposed by Jiang and Conrath is found superior to those proposed by Hirst and St-Onge, Leacock and Chodorow, Lin, and Resnik. In addition, we explain why distributional similarity is not an adequate proxy for lexical semantic relatedness.}, author = {Budanitsky, Alexander and Hirst, Graeme}, citeulike-article-id = {548343}, citeulike-linkout-0 = {http://dx.doi.org/10.1162/089120106776173093}, citeulike-linkout-1 = {http://www.ingentaconnect.com/content/mitpress/coli/2006/00000032/00000001/art00003}, citeulike-linkout-2 = {http://ftp.cs.toronto.edu/pub/gh/Budanitsky+Hirst-2006.pdf}, doi = {10.1162/089120106776173093}, issn = {0891-2017}, journal = {Computational Linguistics}, keywords = {information-retrieval, language-processing, wordnet}, month = {March}, number = {1}, pages = {13--47}, posted-at = {2009-10-24 23:19:25}, priority = {0}, publisher = {MIT Press}, title = {Evaluating WordNet-based Measures of Lexical Semantic Relatedness}, url = {http://dx.doi.org/10.1162/089120106776173093}, volume = {32}, year = {2006} }

TY - JOUR ID - citeulike:548343 L3 - citeulike-article-id:548343 N2 - The quantification of lexical semantic relatedness has many applications in NLP, and many different measures have been proposed. We evaluate five of these measures, all of which use WordNet as their central resource, by comparing their performance in detecting and correcting real-word spelling errors. An information-content–based measure proposed by Jiang and Conrath is found superior to those proposed by Hirst and St-Onge, Leacock and Chodorow, Lin, and Resnik. In addition, we explain why distributional similarity is not an adequate proxy for lexical semantic relatedness. IS - 1 JF - Computational Linguistics SN - 0891-2017 EP - 47 TI - Evaluating WordNet-based Measures of Lexical Semantic Relatedness PB - MIT Press VL - 32 SP - 13 KW - information-retrieval KW - language-processing KW - wordnet AU - Budanitsky, Alexander AU - Hirst, Graeme PY - 2006/03// UR - http://dx.doi.org/10.1162/089120106776173093 ER -