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<Paper uid="W06-3305">
  <Title>A Priority Model for Named Entities</Title>
  <Section position="9" start_page="123" end_page="123" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we have concentrated on the information inherent in gene and protein names versus other biomedical entities. We have demonstrated the utility of the SemCat database in training probabilistic methods for gene and protein entity classification. We have also introduced a new model for named entity prediction that prioritizes the contribution of words towards the right end of terms.</Paragraph>
    <Paragraph position="1"> The Priority Model shows promise in the domain of gene and protein name classification. We plan to apply the Priority Model, along with appropriate contextual and meta-level information, to gene and protein named entity recognition in future work.</Paragraph>
    <Paragraph position="2"> We intend to make SemCat freely available.</Paragraph>
  </Section>
class="xml-element"></Paper>