Extracting commonsense knowledge using concepts properties

Eduardo Blanco, Hakki C. Cankaya, Dan Moldovan

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Commonsense knowledge encompasses facts that people know but do not communicate most of the time. For example, one needs water and soap to take a shower is commonsense. This chapter 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 facts, e.g. one cannot see a flying carpet. Further combinations of semantic relations with inferred commonsense facts are proposed and analyzed. Experimental results show that this novel method is able to extract thousands of commonsense facts with little human interaction and high accuracy.

Original languageEnglish (US)
Title of host publicationCross-Disciplinary Advances in Applied Natural Language Processing
Subtitle of host publicationIssues and Approaches
PublisherIGI Global
Pages341-353
Number of pages13
ISBN (Print)9781613504475
DOIs
StatePublished - 2011
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science(all)

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