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<?xml version="1.0" standalone="yes"?>
<Paper uid="P01-1038">
  <Title>Generation of VP Ellipsis: A Corpus-Based Approach</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We present conditions under which verb phrases are elided based on a corpus of positive and negative examples.</Paragraph>
    <Paragraph position="1"> Factor that affect verb phrase ellipsis include: the distance between antecedent and ellipsis site, the syntactic relation between antecedent and ellipsis site, and the presence or absence of adjuncts.</Paragraph>
    <Paragraph position="2"> Building on these results, we examine where in the generation architecture a trainable algorithm for VP ellipsis should be located. We show that the best performance is achieved when the trainable module is located after the realizer and has access to surface-oriented features (error rate of 7.5%).</Paragraph>
  </Section>
class="xml-element"></Paper>
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