Practical SGML
The relation-based knowledge representation of King Kong
ACM SIGART Bulletin - Special issue on implemented knowledge representation and reasoning systems
Discourse pegs: a computational analysis of context-dependent referring expressions
Discourse pegs: a computational analysis of context-dependent referring expressions
A lazy way to chart-parse with Categorial Grammars
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Logical Forms in the core language engine
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Overview of the third message understanding evaluation and conference
MUC3 '91 Proceedings of the 3rd conference on Message understanding
BBN: description of the PLUM system as used for MUC-3
MUC3 '91 Proceedings of the 3rd conference on Message understanding
GE: description of the NLTooLSET system as used for MUC-3
MUC3 '91 Proceedings of the 3rd conference on Message understanding
Generating natural language summaries from multiple on-line sources
Computational Linguistics - Special issue on natural language generation
Building a generation knowledge source using Internet-accessible newswire
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Mitre-Bedford: description of the Alembic system as used for MUC-5
MUC5 '93 Proceedings of the 5th conference on Message understanding
Validation of terminological inference in an information extraction task
HLT '93 Proceedings of the workshop on Human Language Technology
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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.