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<Paper uid="C04-1153">
  <Title>Learning Greek Verb Complements: Addressing the Class Imbalance</Title>
  <Section position="10" start_page="2" end_page="2" type="concl">
    <SectionTitle>
7 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper we describe the positive effect of One-sided Sampling of an imbalanced dataset for the first time on the linguistic task of automatically learning verb complements from Greek text corpora. Unlike traditional One-sided Sampling, we employ the VDM metric and show that it is more appropriate for nominal features. We experiment with various learning algorithms to classify new examples and reach a precision and a recall value of 77.5% and 70.3% respectively, having used only a chunker for preprocessing.</Paragraph>
  </Section>
class="xml-element"></Paper>