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<Paper uid="H92-1093">
  <Title>Weight Estimation for N-Best Rescoring*</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1. INTRODUCTION
</SectionTitle>
    <Paragraph position="0"> The N-Best rescoring paradigm involves the generation of a list of the N best sentence hypotheses by a recognition system and the subsequent rescoring of these hypotheses by other knowledge sources. The sentence hypotheses are then reranked according to a weighted linear combination of the different scores. This paradigm has the potential of achieving better performance than that of any individual knowledge source, if these scores are combined in an &amp;quot;optimal&amp;quot; manner. This paper discusses the key issues related to estimation of robust weights for a linear combination of scores.</Paragraph>
  </Section>
class="xml-element"></Paper>