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Knowledge based lexicons

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Current Trends in SNePS — Semantic Network Processing System (SNePS 1989)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 437))

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Abstract

To date, most lexicons for AI systems contain essentially syntactic information, with some minimal semantic information, usually in the form of property flags to help with selection restrictions. Any further semantic information usually has entirely separate representations elsewhere. As a rule, semantic information looks like any other knowledge in the system's knowledge base: that is, it appears as knowledge about the world, not as knowledge about words. But increasingly systems need to know about words to operate effectively. This report deals with a new unified representation for lexical information.

This research was supported in part by the National Science Foundation under grant IRI-8703580.

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Authors and Affiliations

  1. Virginia Polytechnic Institute and State University, 24061, Blacksburg, Virginia

    J. Terry Nutter

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  1. J. Terry Nutter
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D. Kumar

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© 1990 Springer-Verlag Berlin Heidelberg

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Nutter, J.T. (1990). Knowledge based lexicons. In: Kumar, D. (eds) Current Trends in SNePS — Semantic Network Processing System. SNePS 1989. Lecture Notes in Computer Science, vol 437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0022086

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  • DOI: https://doi.org/10.1007/BFb0022086

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52626-1

  • Online ISBN: 978-3-540-47081-6

  • eBook Packages: Springer Book Archive

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