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TALISMAN: A multi-agent system for natural language processing

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Advances in Artificial Intelligence (SBIA 1995)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 991))

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Abstract

Natural Language Processing raises the problem of ambiguities and therefore the multiple solutions resulting from them. Architectures based on sequential levels, in which each module corresponds to a linguistic level (preprocessing, morphology, syntax, semantics) have shown their limitations. A sequential architecture does not allow a real exchange between different modules. This leads to the unavailability of the linguistic information needed for the reduction of ambiguities. Due to the necessity for cooperation between different modules we consider the use of a new architecture which stems from the techniques in Distributed Artificial Intelligence. This paper presents a general Natural Language Processing system called TALISMAN. One of the originalities of this system is the distributed treatment of sentence analysis (as opposed to a classic sequential treatment) and the introduction of linguistic laws which handle the communication between agents, without central control. At the implementation level, the system brings openness to dictionary modification, grammars and strategies of analysis, as well as the necessary mechanisms for the integration of new modules.

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Author information

Authors and Affiliations

  1. Cristal-Gresec, Université Stendhal, BP 47, 38040, Grenoble Cedex 9, France

    Marie-Hélène Stefanini

  2. LIFIA / IMAG / CNRS, 46, avenue Félix Viallet, 38031, Grenoble Cedex, France

    Yves Demazeau

Authors
  1. Marie-Hélène Stefanini
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  2. Yves Demazeau
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Editor information

Jacques Wainer Ariadne Carvalho

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© 1995 Springer-Verlag Berlin Heidelberg

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Stefanini, MH., Demazeau, Y. (1995). TALISMAN: A multi-agent system for natural language processing. In: Wainer, J., Carvalho, A. (eds) Advances in Artificial Intelligence. SBIA 1995. Lecture Notes in Computer Science, vol 991. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0034824

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  • DOI: https://doi.org/10.1007/BFb0034824

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60436-5

  • Online ISBN: 978-3-540-47467-8

  • eBook Packages: Springer Book Archive

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