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FSS-WASTL interactive knowledge acquisition for a semantic lexicon

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Trends in Artificial Intelligence (AI*IA 1991)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 549))

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Abstract

The following paper describes FSS-WASTL, a system for the acquisition of semantic knowledge within XTRA — a natural language access system to expert systems. Starting from user-supplied example utterances, hypotheses for lexical entries are induced, which then are refined top down through interactive classification. The refinement process of FSS-WASTL is a variant of the well-known KLONE classification procedure and is an extension of T. Finin's interactive classifier. The integration of XTRA's natural language generator, which is a highlight of FSS-WASTL, allows for the paraphrasing of the user's input for clarification purposes. FSS-WASTL is compared with other research systems. It is argued that this approach can be transfered to applications beyond the natural language domain.

This research has been supported by the German Science Foundation in its Special Collaborative Research Programme on Artificial Intelligence and Knowledge Based Systems (SFB 314).

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Authors and Affiliations

  1. Universität des Saarlandes, Saarbrücken 11, D-6600, Federal Republic of Germany

    Roman M. Jansen-Winkeln, Alassane Ndiaye & Norbert Reithinger

Authors
  1. Roman M. Jansen-Winkeln
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  2. Alassane Ndiaye
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  3. Norbert Reithinger
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Edoardo Ardizzone Salvatore Gaglio Filippo Sorbello

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© 1991 Springer-Verlag Berlin Heidelberg

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Jansen-Winkeln, R.M., Ndiaye, A., Reithinger, N. (1991). FSS-WASTL interactive knowledge acquisition for a semantic lexicon. In: Ardizzone, E., Gaglio, S., Sorbello, F. (eds) Trends in Artificial Intelligence. AI*IA 1991. Lecture Notes in Computer Science, vol 549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54712-6_223

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  • DOI: https://doi.org/10.1007/3-540-54712-6_223

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  • Print ISBN: 978-3-540-54712-9

  • Online ISBN: 978-3-540-46443-3

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