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<?xml version="1.0" standalone="yes"?>
<Paper uid="C04-1180">
  <Title>Wide-Coverage Semantic Representations from a CCG Parser</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper shows how to construct semantic representations from the derivations produced by a wide-coverage CCG parser. Unlike the dependency structures returned by the parser itself, these can be used directly for semantic interpretation. We demonstrate that well-formed semantic representations can be produced for over 97% of the sentences in unseen WSJ text.</Paragraph>
    <Paragraph position="1"> We believe this is a major step towards wide-coverage semantic interpretation, one of the key objectives of the field of NLP.</Paragraph>
  </Section>
class="xml-element"></Paper>
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