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<Paper uid="H91-1042">
  <Title>Statistical Agenda Parsing</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
ABSTRACT
</SectionTitle>
    <Paragraph position="0"> This paper presents the results of converting a standard Greham/Harrison/Ruzzo (GHR) parser for a unification grammar into an agenda-driven parsing system. The agenda is controlled by statistical measures of grammar-rule likelihood obtained from a training set.</Paragraph>
    <Paragraph position="1"> The techniques in the agenda parser lead to substantial reductions in chart size and parse time, and can be applied to any chart-based parsing algorithm without hand-tuning.</Paragraph>
  </Section>
class="xml-element"></Paper>