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International Joint Conference on Qualitative and Quantitative Practical Reasoning

European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty

FAPR 1997, ECSQARU 1997: Qualitative and Quantitative Practical Reasoning pp 322–335Cite as

Using default logic for lexical knowledge

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1244))

Abstract

Lexical knowledge is knowledge about the morphology, grammar, and semantics of words. This knowledge is increasingly important in language engineering, and more generally in information retrieval, information filtering, intelligent agents and knowledge management. Here we present a framework, based on default logic, called Lexica, for capturing lexical knowledge. We show how we can use contextual information about a given word to identify relations such as synonyms, antinyms, specializations, and meronyms for the word. We also show how we can use machine learning techniques to facilitate engineering a Lexica knowledgebase.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University College London, Gower Street, WClE 6BT, London, UK

    Anthony Hunter

Authors
  1. Anthony Hunter
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Editor information

Dov M. Gabbay Rudolf Kruse Andreas Nonnengart Hans Jürgen Ohlbach

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© 1997 Springer-Verlag Berlin Heidelberg

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Hunter, A. (1997). Using default logic for lexical knowledge. In: Gabbay, D.M., Kruse, R., Nonnengart, A., Ohlbach, H.J. (eds) Qualitative and Quantitative Practical Reasoning. FAPR ECSQARU 1997 1997. Lecture Notes in Computer Science, vol 1244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035632

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  • DOI: https://doi.org/10.1007/BFb0035632

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63095-1

  • Online ISBN: 978-3-540-69129-7

  • eBook Packages: Springer Book Archive

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