Integrating Syntax, Semantics, and Discourse DARPA Natural Language Understanding Program. Volume 1

Abstract

During the period 4/29/85 to 4/29/87, Unisys (formerly SDC) and New York University have pursued joint research on natural-language text understanding, as part of the DARPA Strategic Computing Program in support of the Fleet Command Center Battle Management Program (FCCBMP). During this time, two groups have collaborated on Proteus-I, a natural-language text-understanding system that processes the remarks field of messages (casualty reports or CASREPs) about failures of starting air compressors (SACs). The goal of the research is to demonstrate a system capable of understanding paragraph-length messages in a restricted domain. Features of this joint Unisys/NYU system are (1) Creation of an integrated system for the detailed understanding of text; the system includes modules for syntax, semantics, reference resolution, and temporal processing; (2) Grammatical coverage providing the correct parse for 90% of CASREP sentences, including a full treatment of co-ordinate conjunction and an integrated treatment of sentenial fragments characteristic of message traffic; (3) Automatic production of a tabular summary of diagnostic information for sample CASREPs; (4) Construction of a qualitative model to starting air compressor; and (5) Use of the qualitative model to simulate normal and faulty behavior described by natural-language phrases.

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Document Details

Document Type
Technical Report
Publication Date
May 14, 1987
Accession Number
ADA181272

Entities

People

  • Deborah Dahl
  • Francois Lang
  • John Dowding
  • Lynette Hirschman
  • Marcia Linebarger

Organizations

  • Unisys

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Acquisition
  • Air Compressors
  • Artificial Intelligence Software
  • Blade Tips
  • Computational Linguistics
  • Computer Programming
  • Construction
  • Databases
  • Defense Systems
  • Grammars
  • Language
  • Linguistics
  • Lisp Programming Language
  • Natural Language Processing
  • Natural Language Understanding
  • Natural Languages
  • New York

Readers

  • Computational Linguistics