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ABSTRACT
In this paper, we report SRA's results on the MUC-4 task and describe how we trained our natural language processing system for MUC-4. We also report on what worked, what didn't work, and lessons learned. Our MUC-4 system embeds the SOLOMON knowledge-based NLP shell which is designed for both domain-independence and language-independence. We are currently using SOLOMON for a Spanish and Japanese text understanding project in a different domain. Although this was our first year participating in MUC, we have built and are currently building other data extraction systems. REFERENCES
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