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<Paper uid="P04-1088">
  <Title>FLSA: Extending Latent Semantic Analysis with features for dialogue act classification</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We discuss Feature Latent Semantic Analysis (FLSA), an extension to Latent Semantic Analysis (LSA). LSA is a statistical method that is ordinarily trained on words only; FLSA adds to LSA the richness of the many other linguistic features that a corpus may be labeled with. We applied FLSA to dialogue act classification with excellent results.</Paragraph>
    <Paragraph position="1"> We report results on three corpora: CallHome Spanish, MapTask, and our own corpus of tutoring dialogues. null</Paragraph>
  </Section>
class="xml-element"></Paper>