Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Work on the integration of language and vision at the University of Torino

Work on the integration of language and vision at the University of Torino Artificial Intelligence Review 10: 15-20, 1996. © 1996 Kluwer Academic Publishers. Printed in the Netherlands. Work on the Integration of Language and Vision at the University of Torino DIEGO MARCONI Facoltg: di Lettei'e e Filosofia, Palazzo Tartara, V. G. Ferraris 109, 13100 Vercelli, Italy, and Center for Cognitive Science, Via Lagrange 3, 10123 Torino, Italy, E.U. E-mail: erme@rs950.cisi.unito.it 1. THE PROBLEM OF LEXICAL SEMANTICS For us, the idea of an integration of artificial vision with natural-language pro- cessing grew out of reflections on the inadequacy of model-theoretic semantics as a theory of meaning. Belief-contexts and propositional attitudes in general are commonly regarded as the main stumbling block for theories in the model- theoretic tradition: no such theory seems capable of yielding the right truth-conditions for sentences like 'X believes that p', 'X wonders whether p' etc. However, another source of trouble has been highlighted since the early '80s (see Partee 1981), having to do with the lexical component, or rather the lack of a full-fledged lexical component in model-theoretic semantic theories. It can be argued that no semantic theory is complete (or indeed worth its name) without some account of lexical meaning. It is not enough for a semantic http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence Review Springer Journals

Work on the integration of language and vision at the University of Torino

Artificial Intelligence Review , Volume 10 (2) – Jun 24, 2004

Loading next page...
 
/lp/springer-journals/work-on-the-integration-of-language-and-vision-at-the-university-of-D5DN9hy72B

References (17)

Publisher
Springer Journals
Copyright
Copyright
Subject
Computer Science; Artificial Intelligence; Computer Science, general
ISSN
0269-2821
eISSN
1573-7462
DOI
10.1007/BF00159212
Publisher site
See Article on Publisher Site

Abstract

Artificial Intelligence Review 10: 15-20, 1996. © 1996 Kluwer Academic Publishers. Printed in the Netherlands. Work on the Integration of Language and Vision at the University of Torino DIEGO MARCONI Facoltg: di Lettei'e e Filosofia, Palazzo Tartara, V. G. Ferraris 109, 13100 Vercelli, Italy, and Center for Cognitive Science, Via Lagrange 3, 10123 Torino, Italy, E.U. E-mail: erme@rs950.cisi.unito.it 1. THE PROBLEM OF LEXICAL SEMANTICS For us, the idea of an integration of artificial vision with natural-language pro- cessing grew out of reflections on the inadequacy of model-theoretic semantics as a theory of meaning. Belief-contexts and propositional attitudes in general are commonly regarded as the main stumbling block for theories in the model- theoretic tradition: no such theory seems capable of yielding the right truth-conditions for sentences like 'X believes that p', 'X wonders whether p' etc. However, another source of trouble has been highlighted since the early '80s (see Partee 1981), having to do with the lexical component, or rather the lack of a full-fledged lexical component in model-theoretic semantic theories. It can be argued that no semantic theory is complete (or indeed worth its name) without some account of lexical meaning. It is not enough for a semantic

Journal

Artificial Intelligence ReviewSpringer Journals

Published: Jun 24, 2004

There are no references for this article.