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<Paper uid="C00-2108">
  <Title>Chlstering Verbs Semantically According to their Alternation Behaviour</Title>
  <Section position="7" start_page="751" end_page="751" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> I proposed two algorithms for automatically classif~,ing verbs semantically, based on their alternation behaviour. Taking Levin's classification as a standard for 153 manually chosen verbs with 226 verb senses and their assignment into 30 semantic classes, the iterative distance clustering succeeded for 61% of the verbs considering the syntactic usage of the fl'ames only, and for 38% when adding information about the frmne arguments' selectional preferences.</Paragraph>
    <Paragraph position="1"> The latent class analysis succeeded for 54% and 31%, respectively.</Paragraph>
    <Paragraph position="2"> An investigation of the resulting clusters showed that the assignment of the verbs was actually based on their shared linguistic properties: the verbs in a cluster presented common alternation behaviour, refined by adding selectional preferences to the syntactic description of the subcategorisation frmnes.</Paragraph>
    <Paragraph position="3"> It is impressive that as little lexical idiosyncratic verb information as the syntactic use of subcategorisation fl'ames like subj : to or subj : pp. against suffices as a basis for a semantic class distinction towards Levin's narrow classification system including fine concepts as Desire or Manner of Motion. The potential is partly characterised by specific frames, but in the majority of cases by successflflly combining the frames in order to define the syntactic alternation, hnproving the definition and demarcation of conceptual classes should provide further potential concerning the inclusion of selectional preferences into the syntactic description.</Paragraph>
  </Section>
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