Abstract
The problem of word-sense disambiguation is currently one of the central concerns of natural language processing. However, it is becoming increasingly apparent that WordNet-type approaches that list the different polysemous senses of a word without saying anything about how they relate to each other lead to considerable problems. Novel uses of words occur frequently and the problem is particularly acute when figurative language is being used. Figurative language, such as metaphor, metonymy, idioms and so on, is pervasive in normal discourse, but the source meaning of a word being used metaphorically is often far removed from the intended, target, meaning. Unless WordNet-type approaches are enriched with additional means to relate source and target domains, figurative language will continue to be a major problem for word-sense disambiguation.
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