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<Paper uid="W03-1022">
  <Title>Supersense Tagging of Unknown Nouns in WordNeta0</Title>
  <Section position="9" start_page="0" end_page="0" type="concl">
    <SectionTitle>
8 Conclusion
</SectionTitle>
    <Paragraph position="0"> We presented a new framework for word sense classification, based on the WordNet lexicographer classes, that extends named-entity classification.</Paragraph>
    <Paragraph position="1"> Within this framework it is possible to use the information contained in WordNet to improve classification and define a more realistic evaluation than standard cross-validation. Directions for future research include the following topics: disambiguation of the training data, e.g. during training as in cotraining; learning unknown ambiguous nouns, e.g., studying the distribution of the labels the classifier guessed for the individual tokens of the new word.</Paragraph>
  </Section>
class="xml-element"></Paper>