GE-CMU: Description of the Shogun System Used for MUC-5

Abstract

This paper describes the GE-CMU TIPSTER/SHOGUN system as configured for the TIPSTER 24-month (MUC-5) benchmark, and gives details of the system's performance on the selected Japanese and English texts. The SHOGUN system is a distillation of some of the key ideas that emerged from previous benchmarks and experiments, emphasizing a simple architecture in which the focus is on detailed corpus-based knowledge . This design allowed the project to meet its goal of achieving advances in coverage and accuracy while showing consistently good performance across languages and domains.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA460596

Entities

People

  • George Krupka
  • Lisa Rau
  • Michael L. Mauldin
  • Paul S. Jacobs
  • Teruko Mitamura

Organizations

  • General Electric

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Acquisition
  • Algorithms
  • Artificial Intelligence
  • Debugging
  • Errors
  • Extraction
  • Governments
  • Grammars
  • Language
  • Motor Skills
  • Natural Languages
  • Precision
  • Production
  • Recognition
  • Template Patterns

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Systems Analysis and Design