Blanco E.Cankaya H.C.Moldovan D.2023-06-162023-06-1620119.78E+12https://hdl.handle.net/20.500.14365/396724th International Florida Artificial Intelligence Research Society, FLAIRS - 24 -- 18 May 2011 through 20 May 2011 -- Palm Beach, FL -- 86340This 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.eninfo:eu-repo/semantics/closedAccessCommonsense knowledgeHuman interactionsNovel methodsSemantic relationsSemantic representationArtificial intelligenceSemanticsKnowledge representationConference Object2-s2.0-80052421892