University of Massachusetts: description of the CIRCUS system as used for MUC-3
MUC3 '91 Proceedings of the 3rd conference on Message understanding
Integration of semantic and syntactic constraints for structural noun phrase disambiguation
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
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A NUMBER OF SEMANTICALLY-ORIENTED TECHNIQUES HAVE BEEN DEVISED OVER THE YEARS TO ADDRESS THE PROBLEMS OF CONCEPTUAL SENTENCE ANALYSIS. WE HAVE IMPLEMENTED A NATURAL LANGUAGE SENTENCE ANALYZER, `CIRCUS'', WHICH INCORPOR- ATES A NUMBER OF WELL-KNOWN TECHNIQUES FROM THE SYMBOLIC INFORMATION PRO- CESSING TRADITION ALONG WITH ORIGINAL TECHNIQUES BASED ON NUMERICAL RELAXA- TION. OUR BASIC SYSTEM ARCHITECTURE SUPPORTS A STACK-CONTROLLED MECHANISM FOR MANAGING SYNTACTIC PREDITIONS, AS WELL AS MODULES FOR HANDLING TWO FUNDAMENTALLY DISTINCT TYPES OF SEMANTIC PREFERENCES: PREDICTIVE SEMANTICS AND DATA-DRIVEN SEMANTICS. A MARKER PASSING ALGORITHM IS USED FOR PREDIC- TIVE SEMANTICS, AND NUMERICAL RELAXATION IS USED FOR DATA-DRIVEN SEMANTICS. THIS PAPER PROVIDES A GENERAL INTRODUCTION TO `CIRCUS'', THE OPPORTUNITIES FOR DIFFERENT KINDS OF MEMORY INTERACTIONS WITH `CIRCUS'', AND DETAILED (BUT NOT TECHNICAL) DESCRIPTIONS OF OUR MARKER PASSING AND NUMERICAL RELAXATION ALGORITHMS. `CIRCUS'' IS CURRENTLY RUNNING UNDER COMMON LISP ON THE TI EXPLORER.