Using Case-Based Reasoning in Natural Language Processing

Abstract

A variety of problems addressed in natural language processing (NLP) make this area ripe for hybrid system designs and approaches based on multiple technologies. One particularly promising crossover is the application of case- based reasoning (CBR) to NLP. There are two important facts that make CBR an obvious candidate for innovative investigations in NLP.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 1993
Accession Number
ADA273538

Entities

People

  • Wendy G. Lehnert

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Autonomy
  • Counter WMD
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Casualties
  • Cognitive Science
  • Computational Linguistics
  • Computer Science
  • Engineering
  • Hispanics
  • Language
  • Linguistics
  • Minority Groups
  • Native Americans
  • Natural Language Processing
  • Natural Languages
  • Personnel Management
  • Reasoning
  • Sociology
  • Training

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Machine Translation