NAMER: A PATTERN-RECOGNITION SYSTEM FOR GENERATING SENTENCES ABOUT RELATIONS BETWEEN LINE DRAWINGS,

Abstract

This document reports on a series of experimental programs used to recognize line drawings and the spatial relationships between them. At the pattern-recognition level the programs in this experiment learn to associate a name with a generalized bit pattern representing a line drawing. At the relation-learning level, the programs abstract characteristics which relate to such spatial concepts as ''above'', ''left'', ''thicker than'', etc. The names that have been learned in association with a drawing, and relation names which the program selects as true for the spatial relations between two drawings, are substituted into a simple generation grammar; variations of sentences that are true for the picture are then generated. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 05, 1964
Accession Number
AD0443755

Entities

People

  • David L. Londe
  • Robert F. Simmons

Organizations

  • System Development Corporation

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Demographic Cohorts
  • Identification
  • Learning
  • Pattern Recognition
  • Recognition

Readers

  • Computational Linguistics
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval