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<Paper uid="E93-1025">
  <Title>A Discourse Copying Algorithm for Ellipsis and Anaphora Resolution</Title>
  <Section position="7" start_page="209" end_page="211" type="concl">
    <SectionTitle>
6 Summary
</SectionTitle>
    <Paragraph position="0"> We have given an analysis of ellipsis resolution in terms of a straightforward discourse copying algorithm that correctly predicts a wide range of phenomena. The treatment does not suffer from problems inherent in identity-of-relations analyses. Furthermore, in contrast to the approach of Dalrymple et al. \[1991\], the treatment directly encodes the intuitive distinction between full NPs and the referential elements that eorefer with them, thus allowing the correct analysis of the stripping example. Furthermore, we establish this distinction via the role linking scheme we have defined, which also allows  the correct predictions in the missing readings and 5-readings cases to come as a natural result. Finally, the analysis extends directly to other discourse copying phenomena. Future work includes extending the analysis to interact with quantificational phenomena.</Paragraph>
  </Section>
class="xml-element"></Paper>