Producing this kind of knowledge is extremely costly: at a throughput of one sense annotation per minute (Edmonds, 2000) and tagging one thousand examples per word, dozens of person-years would be required for enabling a supervised classifier to disambiguate all the words in the English lexicon with high accuracy.
knowledge-based approaches exploit the information contained in wide-coverage lexical resources, such as WordNet (Fellbaum, 1998).