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Matthew Berland, Eugene Charniak

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We present a method for extracting parts of objects from wholes (e.g. ``speedometer'' from ``car''). Given a very large corpus our method finds part words with 55\%\ accuracy for the top 50 words as ranked by the system. The part list could be scanned by an end-user and added to an existing ontology (such as WordNet), or used as a part of a rough semantic lexicon.