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<Paper uid="W06-0124">
  <Title>Boosting for Chinese Named Entity Recognition</Title>
  <Section position="8" start_page="152" end_page="152" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> We have described an experiment applying a boosting based NER model originally designed 3Our LDC test result was scored twice by the organizer. for multiple European languages instead to the Chinese named entity recognition task. Even though we only used one-third of the MSRA and CityU corpora to train the system, the model produced reasonable results, obtaining 75.07 and 80.51 overall F-measures on MSRA and CityU test sets respectively.</Paragraph>
    <Paragraph position="1"> Having established this baseline for comparison against our multilingual European language boosting based NER models, our next step will be to incorporate Chinese-specific attributes into the model to compare with.</Paragraph>
  </Section>
class="xml-element"></Paper>