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<Paper uid="P06-3010">
  <Title>Sydney, July 2006. c(c)2006 Association for Computational Linguistics A Hybrid Relational Approach for WSD - First Results</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We present a novel hybrid approach for</Paragraph>
    <Section position="1" start_page="0" end_page="0" type="sub_section">
      <SectionTitle>
Word Sense Disambiguation (WSD)
</SectionTitle>
      <Paragraph position="0"> which makes use of a relational formalism to represent instances and background knowledge. It is built using Inductive Logic Programming techniques to combine evidence coming from both sources during the learning process, producing a rule-based WSD model. We experimented with this approach to disambiguate 7 highly ambiguous verbs in English-Portuguese translation. Results showed that the approach is promising, achieving an average accuracy of 75%, which out-performs the other machine learning techniques investigated (66%).</Paragraph>
    </Section>
  </Section>
class="xml-element"></Paper>