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<Paper uid="W03-0803">
  <Title>OLLIE: On-Line Learning for Information Extraction</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper reports work aimed at developing an open, distributed learning environment, OLLIE, where researchers can experiment with different Machine Learning (ML) methods for Information Extraction.</Paragraph>
    <Paragraph position="1"> Once the required level of performance is reached, the ML algorithms can be used to speed up the manual annotation process.</Paragraph>
    <Paragraph position="2"> OLLIE uses a browser client while data storage and ML training is performed on servers. The different ML algorithms use a unified programming interface; the integration of new ones is straightforward.</Paragraph>
  </Section>
class="xml-element"></Paper>