Akman, V.Surav, M.2016-02-082016-02-0819970824-7935http://hdl.handle.net/11693/25612At 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.EnglishCommonsense ReasoningContextKnowledge RepresentationLiftingNatural Language ProcessingSituation TheoryContext Sensitive LanguagesNatural Language Processing SystemsArticle10.1111/0824-7935.000461467-8640