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<Paper uid="M95-1018">
  <Title>System Walkthrough</Title>
  <Section position="13" start_page="234" end_page="234" type="concl">
    <SectionTitle>
CONCLUSION
</SectionTitle>
    <Paragraph position="0"> SRA used the combination of two systems for the MUC-6 tasks: NameTag, a commercial software product that recognizes proper names and other key phrases in text ; and HASTEN, an experimental text extraction system .</Paragraph>
    <Paragraph position="1"> NameTag demonstrated high performance at high speed for the Named Entity task, as well as advanced capabilitie s that provided the majority of the performance for the Template Element task . HASTEN demonstrated a simple , flexible design using simple training examples with minimal customization for the Scenario Template task .</Paragraph>
    <Paragraph position="2"> Experimental results demonstrated the speed of customization, the relationship between the number of examples an d performance, the predicted potential performance, and performance on just the core scenario event.</Paragraph>
    <Paragraph position="3"> In the near future, NameTag will continue to improve its coverage, accuracy, and speed. In addition, NameTag will provide foreign language versions, including French, Italian, Spanish, German and Japanese . SRA will strive to make HASTEN easier to customize by non-developers, while enhancing its features to improve its extraction performance. Potential areas of experimentation are automatic Egraph construction, the utilization of negativ e examples, the utilization of mutated Egraphs, and user-in-the-loop feedback. HASTEN's modular design will also facilitate the integration of other supporting software modules such as syntactic parsers and discourse modules .</Paragraph>
  </Section>
class="xml-element"></Paper>