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<Paper uid="C00-1051">
  <Title>Committee-based Decision Making in Probabilistic Partial Parsing</Title>
  <Section position="8" start_page="353" end_page="353" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> This paper presented a general committee-based frmnework that can be coupled with probabilistic partial parsing. In this framework, a committee accepts parametric multiple votes, and then standardizes them, and finally provides a probabilistic distribution. We presented a general method for producing probabilistic multiple votes (i.e. DP matrices), which allows most of the existing probabilistic models for parsing to join a committee. Our experiments revealed that (a) if more than two comparably competent models are available, it is likely to be worthwhile to combine them, (b) both multit)le voting and vote standardization effectively work in committee-based partial parsing, (c) our scheme also allows a non-parametric rule-based parser to make a good contribution.</Paragraph>
    <Paragraph position="1"> While our experiments have so far been producing promising results, there seems to be much room left for investigation and improvement.</Paragraph>
  </Section>
class="xml-element"></Paper>