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<Paper uid="W97-0211">
  <Title>Towards a Bootstrapping Framework for Corpus Semantic Tagging</Title>
  <Section position="6" start_page="71" end_page="71" type="concl">
    <SectionTitle>
5 Conclusions
</SectionTitle>
    <Paragraph position="0"> In this paper a framework to bootstrapping lexical acqusition in a given domain has been outlined.</Paragraph>
    <Paragraph position="1"> A source semantic tag system is proposed able to guarantee an explicit semantic description of lexical phenomena, with a minimal size in order to minirnize the complexity of the inductive algorithms. A methodology to customize the general purpose tag system (i.e. the high level chases of the Wordnet hierarchy) to a domain is described and a semantic disambiguation model to semantically tag source raw texts is defined. The result is a semantically annotated corpus where lexical phenomena can be studied with a reduced ambiguity. Experimental evidences for verb and nouns tagging in different domains have been outlined and extensive data froma remote sensing (medium size) corpus have been reported. Implications of the proposed semantic tagging for typical lexical acquisition tasks (e.g. derivation of PP-disambiguation rules or verb argument structures) have been discussed. Further research in assessing the semantic tagging evaluation, customizing the lexical acquisition models to the proposed semantic type system and evaluating extensively the acquisition results are on going.</Paragraph>
  </Section>
class="xml-element"></Paper>