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<?xml version="1.0" standalone="yes"?> <Paper uid="M93-1019"> <Title>SRI: Description of the JV-FASTUS System Used for MUC-5</Title> <Section position="12" start_page="232" end_page="233" type="concl"> <SectionTitle> CONCLUSION </SectionTitle> <Paragraph position="0"> Our experience with the MUC-5 evaluation leaves us believing more strongly than ever that the FASTU S system is the best approach to the text information extraction problem, and that the technology is now rip e for application to real-world problems . Our experience has shown that * Information can be extracted from text very rapidly.</Paragraph> <Paragraph position="1"> * It is possible to bring a system up to a high level of performance very quickly given the right set o f tools. FASTUS provides us with the tools we need .</Paragraph> <Paragraph position="2"> * The system architecture can be straightforward, conceptually simple, and easily understood . Future research in this area should be directed toward the application of this technology to increasin g analyst productivity. Open questions are how a generic information extraction system like FASTUS ca n he customized to a particular application like JV-FASTUS without extensive intervention from its original developers . Interesting ideas to investigate are how a system can automatically acquire information from a corpus of related texts, or from learning and generalizing from observing analysts annotating texts .</Paragraph> </Section> class="xml-element"></Paper>