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<Paper uid="N06-1038">
  <Title>Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text</Title>
  <Section position="7" start_page="301" end_page="302" type="concl">
    <SectionTitle>
6 Conclusions and Future Work
</SectionTitle>
    <Paragraph position="0"> We have shown that integrating pattern discovery with relation extraction can lead to improved performance on each task.</Paragraph>
    <Paragraph position="1"> In the future, we wish to explore extending this methods to larger datasets, where we expect relational patterns to be even more interesting. Also,  weplantoimproveuponiterativedatabaseconstruction by performing joint inference among distant  relations in an article. Inference in these highlyconnected models will likely require approximate methods. Additionally, we wish to focus on extracting implicit relations, dealing more formally with the precision-recall trade-off inherent in applying noisy rules to improve extraction.</Paragraph>
  </Section>
class="xml-element"></Paper>