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<Paper uid="X96-1013">
  <Title>SRA PARTICIPATION IN TIPSTER PHASE II</Title>
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SRA PARTICIPATION IN TIPSTER PHASE II
POC: Lisa Rau
SRA International, Inc.
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    <Paragraph position="0"> systems, the Intelligence Analysts Associate (IAA) under funding from Rome Laboratories for NAIC, and the Overture program for OIR.</Paragraph>
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  <Section position="2" start_page="0" end_page="53" type="metho">
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HIGHLIGHTS
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    <Paragraph position="0"> The application of machine learning techniques to reduce the customization time for data extraction systems The use of multilingual data extraction for targeted machine translation or gisting Fusion of data extraction technology with other media (speech; video) for multimedia fusion applications lII. EVALUATIONS SRA participated in the Sixth Message Understanding Conference in three of the four areas (Named Entity, Template Element, and Scenario Template). SRA participated in the Multilingual Entity Task (MET) in both Japanese and Spanish. IV. PHASE III PLANS On the research front, as a Tipster Phase III contractor, SRA intends to make significant advances in the customizability of extraction technology, primarily by bringing together our expertise in machine learning and natural language processing. A second focus of our Phase III research plans involve the intelligent summarization of texts. Finally, we intend to continue to contribute to the Contractor Architecture Working Group and other common efforts, and complete the Tipster application systems.</Paragraph>
    <Paragraph position="1"> SRA engages in an active program of research and operational support in both multilingual data extraction, natural language processing more generally, and text retrieval integration. Our current research thrusts involve:</Paragraph>
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