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Why relevance theory is relevant for lexicography [PDF]

open access: yesLexicographica - International Annual for Lexicography / Internationales Jahrbuch Für Lexikographie, 2014
Abstract This article starts by providing a brief summary of relevance theory in information science in relation to the function theory of lexicography, explaining the different types of relevance, viz. objective system relevance and the subjective types of relevance, i.e.
Theo J D Bothma, Sven Tarp
exaly   +3 more sources
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Relevance Theory

2006
AbstractRelevance theory, a cognitive pragmatics theory of human communication, was developed in the mid-1980s by Dan Sperber and Deirdre Wilson in their book, Relevance: Communication and Cognition, but their earlier publications also dealt with this theory, specifically comparing it to Grice's cooperative principle. Since then, it has become a highly
Deirdre Wilson
exaly   +2 more sources

On the relevance of theory to practitioners…

Interactions, 2009
Richard Anderson 0002, Jon Kolko
openaire   +1 more source

Cohousing's relevance to degrowth theories

Journal of Cleaner Production, 2010
Abstract In a context of ever faster globalisation, citizens and their environment are clearly put under pressure. This article introduces the cohousing movement as a model to make life more social and greener in an urban context. Cohousing communities are neighbourhood developments that creatively mix private and common dwellings to recreate a sense
openaire   +2 more sources

Relevant logic and the theory of information

Synthese, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Relevance in Theory

2017
Relevance is the central concept in information science because of its salience in designing and evaluating literature-based answering systems. It is salient when users seek information through human intermediaries, such as reference librarians, but becomes even more so when systems are automated and users must navigate them on their own.
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A Generative Theory of Relevance

Journal of the American Society for Information Science and Technology, 2009
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A generative theory of relevance

Information Retrieval, 2010
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