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<Paper uid="P06-1013">
  <Title>Ensemble Methods for Unsupervised WSD</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Combination methods are an effective way of improving system performance. This paper examines the bene ts of system combination for unsupervised WSD. We investigate several voting- and arbiter-based combination strategies over a diverse pool of unsupervised WSD systems.</Paragraph>
    <Paragraph position="1"> Our combination methods rely on predominant senses which are derived automatically from raw text. Experiments using the SemCor and Senseval-3 data sets demonstrate that our ensembles yield signi cantly better results when compared with state-of-the-art.</Paragraph>
  </Section>
class="xml-element"></Paper>