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<Paper uid="A00-2009">
  <Title>A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation</Title>
  <Section position="8" start_page="67" end_page="68" type="concl">
    <SectionTitle>
7 Conclusions
</SectionTitle>
    <Paragraph position="0"> This paper shows that word sense disambiguation accuracy can be improved by combining a number of simple classifiers into an ensemble. A methodology for formulating an ensemble of Naive Bayesian classifiers is presented, where each member classifier is based on co-occurrence features extracted from a different sized window of context. This approach was evaluated using the widely studied nouns line and interest, which are disambiguated with accuracy of 88% and 89%, which rivals the best previously published results.</Paragraph>
  </Section>
class="xml-element"></Paper>