An Architecture and Prototype System for Automatically Processing Natural-Language Statements of Policy

Abstract

Organizations are policy-driven entities. Policy bases can be very large and complex; these factors are compounded by the dynamic nature of policy evolution. Thus, comprehension of the ramifications of both policy modification and assurance of the consistency, completeness, and correctness of a policy base necessarily requires some level of computer-based support. A policy workbench is an integrated set of computer-based tools for developing, reasoning about, and maintaining policy. A workbench takes as input a computationally equivalent form of policy statements. In this thesis we explore approaches for translating natural-language policy statements into their equivalent computational form with minimal user interaction. We present the architecture of a natural-language input-processing tool (NLIPT), which we designed to augment a policy workbench. NLIPT components consist of an extractor, index-term generator, structural modeler, and logic modeler. We experimented with a prototype of the extractor. The extractor successfully parsed twenty-seven of a sample of ninety-nine of U.S. Department of Defense security policy statements. An additional twenty-one statements were correctly parsed based on the syntactic structure of the input.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2001
Accession Number
ADA390812

Entities

People

  • Vanessa L. Ong

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata Theory
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Science
  • Computers
  • Department Of Defense
  • Expert Systems
  • Formal Languages
  • Index Terms
  • Information Systems
  • Language
  • Law
  • Machine Learning
  • Natural Language Processing
  • Natural Languages

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Economics
  • Software Engineering.