Deverbal Nouns in Knowledge Representation

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Deverbal nouns pose serious challenges for knowledge-representation systems. We present a method of canonicalizing deverbal noun representations, relying on a rich lexicon of verb subcategorization frames, the WordNet database, a large finite-state network for derivational morphology, and a series of heuristics for mapping deverbal arguments onto the arguments of corresponding verbs.