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An empirical evaluation of a system for text knowledge acquisition

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Knowledge Acquisition, Modeling and Management (EKAW 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1319))

Abstract

We introduce a formal model and a corresponding system architecture for the acquisition of new concepts from real-world natural language texts. Our approach is centered around the linguistic and conceptual “quality” of various forms of evidence underlying the generation and refinement of concept hypotheses. Based on a terminological (meta)reasoning platform, hypotheses are continuously annotated by a stream of linguistic and conceptual evidence, preferentially ranked and, finally, selected according to their overall credibility. We discuss the results of an empirical evaluation study, concentrating on the system's learning rate and learning accuracy.

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Authors and Affiliations

  1. Text Knowledge Engineering Lab, Freiburg University, Werthmannplatz 1, D-79085, Freiburg, Germany

    Udo Hahn & Klemens Schnattinger

Authors
  1. Udo Hahn
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  2. Klemens Schnattinger
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Enric Plaza Richard Benjamins

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© 1997 Springer-Verlag Berlin Heidelberg

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Hahn, U., Schnattinger, K. (1997). An empirical evaluation of a system for text knowledge acquisition. In: Plaza, E., Benjamins, R. (eds) Knowledge Acquisition, Modeling and Management. EKAW 1997. Lecture Notes in Computer Science, vol 1319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0026782

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  • DOI: https://doi.org/10.1007/BFb0026782

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63592-5

  • Online ISBN: 978-3-540-69606-3

  • eBook Packages: Springer Book Archive

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