W. Cyre (USA)
Knowledge Acquisition, Natural Language Processing, Intelligent Data Bases, Knowledge Representation
This paper reports on a system that automatically extracts a knowledge base of facts from natural language documents, and formats these facts for a relational knowledge base. The facts are extracted as case frames which support a variety of useful searches. Extraction accuracies of 80 percent from computer patents have been achieved.
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