On the Representation of Physical Quantities in Natural Language Text

Abstract

In this paper we investigate the forms in which quantity information can appear in written natural language. Our focus is on physical quantities found in descriptions of physical processes, such as expansion, movement, or transfer. Using Qualitative Process Theory as our underlying formalism, we show how information extracted from natural language text corresponds to the five constituents of physical quantities. The results of this analysis can be used for the creation of interpretation rules and extraction patterns in NL systems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA465872

Entities

People

  • Sven E. Kuehne

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Masses
  • Artificial Intelligence
  • Boiling
  • Boiling Point
  • Computer Science
  • Concrete
  • Containers
  • Directional
  • Energy
  • Flow
  • Heat Energy
  • Heat Transmission
  • Language
  • Materials
  • Molecules
  • Natural Languages
  • Physical Properties

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Database Systems and Applications

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation