National Science Library of Georgia

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Semantic interpretation and the resolution of ambiguity / Graeme Hirst.

By: Material type: TextTextSeries: Studies in natural language processingPublisher: Cambridge : Cambridge University Press, 1987Description: 1 online resource (xiv, 263 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511554346 (ebook)
Other title:
  • Semantic Interpretation & the Resolution of Ambiguity
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 415/.028/5 19
LOC classification:
  • P325.5.D38 H57 1987
Online resources: Summary: Semantic interpretation and the resolution of ambiguity presents an important advance in computer understanding of natural language. While parsing techniques have been greatly improved in recent years, the approach to semantics has generally improved in recent years, the approach to semantics has generally been ad hoc and had little theoretical basis. Graeme Hirst offers a new, theoretically motivated foundation for conceptual analysis by computer, and shows how this framework facilitates the resolution of lexical and syntactic ambiguities. His approach is interdisciplinary, drawing on research in computational linguistics, artificial intelligence, montague semantics, and cognitive psychology.
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Semantic interpretation and the resolution of ambiguity presents an important advance in computer understanding of natural language. While parsing techniques have been greatly improved in recent years, the approach to semantics has generally improved in recent years, the approach to semantics has generally been ad hoc and had little theoretical basis. Graeme Hirst offers a new, theoretically motivated foundation for conceptual analysis by computer, and shows how this framework facilitates the resolution of lexical and syntactic ambiguities. His approach is interdisciplinary, drawing on research in computational linguistics, artificial intelligence, montague semantics, and cognitive psychology.

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