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

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.

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