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<Paper uid="W06-1673">
  <Title>Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines</Title>
  <Section position="11" start_page="625" end_page="625" type="ackno">
    <SectionTitle>
8 Acknowledgements
</SectionTitle>
    <Paragraph position="0"> We would like to thank our anonymous reviewers for their comments and suggestions. We would also like to thank Kristina Toutanova, Aria Haghighi and the Stanford RTE group for their assistance in understanding and using their code.</Paragraph>
    <Paragraph position="1"> This paper is based on work funded in part by a Stanford School of Engineering fellowship and in part by the Defense Advanced Research Projects Agency through IBM. The content does not necessarily reflect the views of the U.S. Government, and no official endorsement should be inferred.</Paragraph>
  </Section>
class="xml-element"></Paper>