<?xml version="1.0" standalone="yes"?>
<Paper uid="W02-2031">
  <Title>Learning with Multiple Stacking for Named Entity Recognition</Title>
  <Section position="4" start_page="0" end_page="0" type="concl">
    <SectionTitle>
4 Conclusion
</SectionTitle>
    <Paragraph position="0"> We have presented a new method for recognizing named entity by multiple stacking. This method can leverage the performance of the base system employing multiple stacked learner and using not only the current tag but also the surrounding tags predicted by the lower level learner. By stacking 5 real AdaBoost.MH learners, we can obtain Fa40a42a41a43a5 of 67.35 for the Spanish named entity recognition task.</Paragraph>
  </Section>
class="xml-element"></Paper>