The use of situation theory in context modeling

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dc.citation.epage438en_US
dc.citation.issueNumber3en_US
dc.citation.spage427en_US
dc.citation.volumeNumber13en_US
dc.contributor.authorAkman, V.en_US
dc.contributor.authorSurav, M.en_US
dc.date.accessioned2016-02-08T10:47:43Z
dc.date.available2016-02-08T10:47:43Zen_US
dc.date.issued1997en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractAt the heart of natural language processing is the understanding of context dependent meanings This paper presents a preliminary model of formal contexts based on situation theory. It also gives a worked-out example to show the use of contexts in lifting, i.e., how propositions holding in a particular context transform when they are moved to another context. This is useful in NLP applications where preserving meaning is a desideratum.en_US
dc.identifier.doi10.1111/0824-7935.00046en_US
dc.identifier.eissn1467-8640
dc.identifier.issn0824-7935
dc.identifier.urihttp://hdl.handle.net/11693/25612en_US
dc.language.isoEnglishen_US
dc.publisherWiley-Blackwell Publishing, Inc.en_US
dc.relation.isversionofhttps://doi.org/10.1111/0824-7935.00046en_US
dc.source.titleComputational Intelligenceen_US
dc.subjectCommonsense Reasoningen_US
dc.subjectContexten_US
dc.subjectKnowledge Representationen_US
dc.subjectLiftingen_US
dc.subjectNatural Language Processingen_US
dc.subjectSituation Theoryen_US
dc.subjectContext Sensitive Languagesen_US
dc.subjectNatural Language Processing Systemsen_US
dc.titleThe use of situation theory in context modelingen_US
dc.typeArticleen_US
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