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Automatically Deriving Event Ontologies for a CommonSense Knowledge Base
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We describe work aimed at building commonsense knowledge by reading word definitions using deep understanding techniques. The end result is a knowledge base allowing complex concepts to be reasoned about using OWL-DL reasoners. We show that we can use this system to automatically create a mid-level ontology for WordNet verbs that has good agreement with human intuition with respect to both the hypernym and causality relations. We present a detailed error analysis that reveals areas of future
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