Tipster: Phase I

Abstract

Overview: During Phase I of the TIPSTER program, HNC developed a unique approach to machine learning of similarity of meaning. This approach, embodied in a system called "MatchPlus", exploits this learned similarity of meaning for concept-based text retrieval, routing and visualization of textual information. MatchPlus uses an information representation scheme called "context vectors" to encode similarity of usage.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1993
Accession Number
ADA630818

Entities

People

  • Bill Caid
  • David Sudbeck
  • Joel Carleton
  • Stephen Gallant

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computers
  • Data Fusion
  • Frequency
  • Graphical User Interface
  • Hash Tables
  • Information Retrieval
  • Language
  • Law
  • Lists (Data Structures)
  • Neural Networks
  • Self Organizing Systems
  • Strategic Defense Initiative
  • Subject Indexing
  • Thesauri
  • User Interface
  • Vector Spaces
  • Word Lists

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval