MITRE-Bedford: description of the ALEMBIC system as used for MUC-4

  • Authors:
  • John Aberdeen;John Burger;Dennis Connolly;Susan Roberts;Marc Vilain

  • Affiliations:
  • The MITRE Corporation, Bedford, MA;The MITRE Corporation, Bedford, MA;The MITRE Corporation, Bedford, MA;The MITRE Corporation, Bedford, MA;The MITRE Corporation, Bedford, MA

  • Venue:
  • MUC4 '92 Proceedings of the 4th conference on Message understanding
  • Year:
  • 1992

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Abstract

The ALEMBIC text understanding system fielded at MUC-4 by MITRE-Bedford is primarily based on natural language techniques. ALEMBIC is a research prototype that is intended to explore several major areas of investigation:• Error recovery, involving primarily issues of semi-parsing and recovery of plausible attachments.• Robustness, involving primarily issues of uncertain reasoning and tractable inference.• Self-extensibility, focusing primarily on machine learning of natural language and user-configurable semantics.• System integration, through SGML (the Standard Generalized Markup Language), both at the level of meaning analysis and at the overall application level.