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<Paper uid="W02-0903">
  <Title>Boosting automatic lexical acquisition with morphological informationa0</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In this paper we investigate the impact of morphological features on the task of automatically extending a dictionary. We approach the problem as a pattern classification task and compare the performance of several models in classifying nouns that are unknown to a broad coverage dictionary. We used a boosting classifier to compare the performance of models that use different sets of features. We show how adding simple morphological features to a model greatly improves the classification performance.</Paragraph>
  </Section>
class="xml-element"></Paper>