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<Paper uid="P05-3015">
  <Title>Syntax-based Semi-Supervised Named Entity Tagging</Title>
  <Section position="8" start_page="354" end_page="354" type="concl">
    <SectionTitle>
6 Conclusion and Future Work
</SectionTitle>
    <Paragraph position="0"> In this paper, we experimented with different syntactic extraction patterns and different NE recognition constraints. We find that semi-supervised methods are compatible with both constituency and dependency extraction rules. We also find that the resulting classifier is reasonably robust on test cases that are different from its training examples.</Paragraph>
    <Paragraph position="1"> An area that might benefit from a semi-supervised NE tagger is machine translation. The semi-supervised approach is suitable for non-English languages that do not have very much annotated NE data. We are currently applying our system to Arabic. The robustness of the syntactic-based approach has allowed us to port the system to the new language with minor changes in our syntactic rules and classification features.</Paragraph>
  </Section>
class="xml-element"></Paper>