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<Paper uid="W05-1008">
  <Title>Bootstrapping Deep Lexical Resources: Resources for Courses</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We propose a range of deep lexical acquisition methods which make use of morphological, syntactic and ontological language resources to model word similarity and bootstrap from a seed lexicon. The different methods are deployed in learning lexical items for a precision grammar, and shown to each have strengths and weaknesses over different word classes. A particular focus of this paper is the relative accessibility of different language resource types, and predicted &amp;quot;bang for the buck&amp;quot; associated with each in deep lexical acquisition applications.</Paragraph>
  </Section>
class="xml-element"></Paper>