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Knowledge Acquisition and Natural Language Processing

  • Robert Wilensky
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 194)

Abstract

Knowledge acquisition and natural language processing are two fields of Artificial Intelligence that have much to offer each other. Natural language requires such large amounts of knowledge that it will probably be necessary to automate the acquisition process for this field to achieve its goals. Machine learning has focused on incremental improvements of performance; but the acquisition of knowledge is probably more of a key bottleneck for building intelligent systems. Huge volumes of knowledge are available now, in machine readable form, if only we could understand how to use it. Natural language processing technology holds the key to this storehouse.

Keywords

Natural Language Target Word Noun Phrase Natural Language Processing Knowledge Acquisition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1993

Authors and Affiliations

  • Robert Wilensky
    • 1
  1. 1.Division of Computer ScienceUniversity of CaliforniaBerkeleyUSA

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