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<Paper uid="W06-2202">
  <Title>Simple Information Extraction (SIE): A Portable and Effective IE System</Title>
  <Section position="9" start_page="14" end_page="14" type="concl">
    <SectionTitle>
8 Conclusion and Future Work
</SectionTitle>
    <Paragraph position="0"> The portability, the language independence and the efficiency of SIE suggest its applicability in practical problems (e.g. semantic web, information extraction from biological data) in which huge collections of texts have to be processed efficiently. In this perspective we are pursuing the recognition of bio-entities from several thousands of MEDLINE abstracts. In addition, the effectiveness of instance filtering will allow us to experiment with complex kernel methods. For the future, we plan to implement more aggressive instance filtering schemata for Entity Recognition, by performing a deeper semantic analysis of the texts.</Paragraph>
  </Section>
class="xml-element"></Paper>