Browsing by Author "Blanco E."

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    Commonsense Knowledge Extraction Using Concepts Properties
    (2011) Blanco E.; Cankaya H.C.; Moldovan D.
    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. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved.
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    Enhancing Location Information Using Semantic Composition
    (2010) Cankaya H.C.; Blanco E.; Moldovan D.
    This paper presents a method to enhance location awareness by using semantic composition of AT-LOCATION and PART-WHOLE semantic relations. The method generates axioms that infer new location relations based on relations that are extracted by a semantic parser. Experimental study with WordNet glosses shows that the method increases the amount of location knowledge by two orders of magnitude. The precision of the results is 98%. © 2010 IEEE.