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<Paper uid="N06-2039">
  <Title>Unsupervised Induction of Modern Standard Arabic Verb Classes</Title>
  <Section position="3" start_page="1" end_page="153" type="relat">
    <SectionTitle>
2 Related Work
</SectionTitle>
    <Paragraph position="0"> Based on the Levin classes, many researchers attempt to induce such classes automatically (Merlo and Stevenson, 2001; Schulte im Walde, 2000) . Notably, in the work of Merlo and Stevenson , they attempt to induce three main English verb classes on a large scale from parsed corpora, the class of Unerga- null tive, Unaccusative, and Object-drop verbs. They report results of 69.8% accuracy on a task whose base-line is 34%, and whose expert-based upper bound is 86.5%. In a task similar to ours except for its use of English, Schulte im Walde clusters English verbs semantically by using their alternation behavior, using frames from a statistical parser combined with WordNet classes. She evaluates against the published Levin classes, and reports that 61% of all verbs are clustered into correct classes, with a base-line of 5%.</Paragraph>
  </Section>
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