The use of situation theory in context modeling
Author
Akman, V.
Surav, M.
Date
1997Source Title
Computational Intelligence
Print ISSN
0824-7935
Electronic ISSN
1467-8640
Publisher
Wiley-Blackwell Publishing, Inc.
Volume
13
Issue
3
Pages
427 - 438
Language
English
Type
ArticleItem Usage Stats
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Abstract
At 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.
Keywords
Commonsense ReasoningContext
Knowledge Representation
Lifting
Natural Language Processing
Situation Theory
Context Sensitive Languages
Natural Language Processing Systems