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Contextuality and non-extensional identity: the inescapable symbiosis in NLP

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Topics in Artificial Intelligence (AI*IA 1995)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 992))

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Abstract

In this paper we examine two kernel traits that a KR approach has to share in order to capture traditional structuralist analysis of semantics: non-extensionality and semantic identification/differentiation. We set up the formal requisites for a non-extensional definition of representational entities. The notion of identity is re-evaluated supporting modularity. Its partial forms, seen as particular effects of interpretational strategies, are investigated.

The authors are grateful to Ms. Janet Ormrod for the final revision of the paper.

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Author information

Authors and Affiliations

  1. école Nationale Supérieure des Télécommunications de Bretagne, BP 832, 29285, Brest Cedex, France

    Ioannis Kanellos & Victor Hugo Zaldivar-Carrillo

Authors
  1. Ioannis Kanellos
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  2. Victor Hugo Zaldivar-Carrillo
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Editor information

Marco Gori Giovanni Soda

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© 1995 Springer-Verlag Berlin Heidelberg

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Kanellos, I., Zaldivar-Carrillo, V.H. (1995). Contextuality and non-extensional identity: the inescapable symbiosis in NLP. In: Gori, M., Soda, G. (eds) Topics in Artificial Intelligence. AI*IA 1995. Lecture Notes in Computer Science, vol 992. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60437-5_14

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  • DOI: https://doi.org/10.1007/3-540-60437-5_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60437-2

  • Online ISBN: 978-3-540-47468-5

  • eBook Packages: Springer Book Archive

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