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<Paper uid="W04-0817">
  <Title>Semantic Role Labelling with Similarity-Based Generalization Using EM-based Clustering</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We describe a system for semantic role assignment built as part of the Senseval III task, based on an off-the-shelf parser and Maxent and Memory-Based learners. We focus on generalisation using several similarity measures to increase the amount of training data available and on the use of EM-based clustering to improve role assignment. Our final score is Precision=73.6%, Recall=59.4% (F=65.7).</Paragraph>
  </Section>
class="xml-element"></Paper>