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Fully automatic acquisition of taxonomic knowledge from large corpora of texts: Limited syntax knowledge representation system based on natural language

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Foundations of Intelligent Systems (ISMIS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1609))

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Abstract

The paper presents a new method for fully automatic knowledge acquisition from large corpora of unseen texts. The approach exploits simple, efficiently, fast and reliably extractable, parsable and indepth interpretable constructs of natural language specialized to convey taxonomic knowledge. It allows one to acquire large quantities of high quality general-purpose knowledge and practically eliminates costly and error-prone human pre&post-processing. Examples of the systemacquired concepts are discussed.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Wayne State University, 48202, Detroit, Michigan, USA

    Lucja Iwańska, Naveen Mata & Kellyn Kruger

Authors
  1. Lucja Iwańska
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  2. Naveen Mata
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  3. Kellyn Kruger
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Editor information

Zbigniew W. Raś Andrzej Skowron

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© 1999 Springer-Verlag Berlin Heidelberg

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Iwańska, L., Mata, N., Kruger, K. (1999). Fully automatic acquisition of taxonomic knowledge from large corpora of texts: Limited syntax knowledge representation system based on natural language. In: Raś, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1999. Lecture Notes in Computer Science, vol 1609. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095130

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  • DOI: https://doi.org/10.1007/BFb0095130

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65965-5

  • Online ISBN: 978-3-540-48828-6

  • eBook Packages: Springer Book Archive

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