Syntactic parsing as a knowledge acquisition problem

  • Sean Wallis
  • Gerry Nelson
Long Papers

DOI: 10.1007/BFb0026792

Volume 1319 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Wallis S., Nelson G. (1997) Syntactic parsing as a knowledge acquisition problem. In: Plaza E., Benjamins R. (eds) Knowledge Acquisition, Modeling and Management. EKAW 1997. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence), vol 1319. Springer, Berlin, Heidelberg

Abstract

Corpus linguistics involves the construction and annotation of large databases of text from spoken and written language. These have applications in NLP and taught grammar. This annotation represents the problem of the KA “bottleneck” in a new application area. This paper introduces parse checking as a KA problem, and compares it to other tree-oriented KA methodologies such as laddering and clustering. It argues that corpus linguistics represents a significant application area for KA. The laddering tools discussed here have been used to process thousands of tree structures. The paper compares two tools in use on the ICE-GB corpus. One tool, ICE Tree II, exploits the structure of grammatical trees more fully than the other. Timing results show a main learning effect which dominates any difference comparison. However, the more integrated tool reduces the scope for error.

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Copyright information

© Springer-Verlag 1997

Authors and Affiliations

  • Sean Wallis
    • 1
  • Gerry Nelson
    • 1
  1. 1.Department of English (Survey of English Usage)University College LondonLondonUK