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<Paper uid="P05-3017">
  <Title>Supporting Annotation Layers for Natural Language Processing</Title>
  <Section position="7" start_page="0" end_page="0" type="concl">
    <SectionTitle>
5 Conclusions and Future Work
</SectionTitle>
    <Paragraph position="0"> We have provided a mechanism to effectively store and query layers of textual annotations, focusing on compact representation, easy query formulation, easy addition and removal of layers, and straight-forward translation into SQL. Using a collection of 1.4 MEDLINE abstracts, we have evaluated various structures for data storage and have arrived at a promising one.</Paragraph>
    <Paragraph position="1"> We have also designed a concise language (LQL) to express queries that span multiple levels of annotation structure, allowing users to express queries in a syntax that closely resembles the underlying annotation structure. We plan to release the software to the research community for use in their own annotation and querying needs.</Paragraph>
    <Paragraph position="2"> Acknowledgements This research was supported by NSF DBI-0317510 and a gift from Genentech.</Paragraph>
  </Section>
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