AAAI Publications, Twenty-Fourth International FLAIRS Conference

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Commonsense Knowledge Extraction Using Concepts Properties
Eduardo Blanco, Hakki Cankaya, Dan Moldovan

Last modified: 2011-03-20

Abstract


This paper presents a semantically grounded method for extracting commonsense knowledge. First, commonsense rules are identified, e.g., one cannot see imaginary objects. Second, those rules are combined with a basic semantic representation in order to infer commonsense knowledge facts, e.g. one cannot see a flying carpet. Further combinations of semantic relations with inferred commonsense facts are proposed and analyzed. Results show that this novel method is able to extract thousands of commonsense facts with little human interaction and high accuracy.

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