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<Paper uid="C96-1041">
  <Title>Multimedia Re.search Ibaboratories</Title>
  <Section position="11" start_page="240" end_page="241" type="concl">
    <SectionTitle>
11 Conclusion
</SectionTitle>
    <Paragraph position="0"> We prol)oscd a Ml:\[l!'-based tagging lnodel. Information sourccs for tagging aro combiimd hy M F, 1)rincil)le which is ,sod i, M I{F as theoretical background. A I1 I)ara~liiclxu's used in the iiio(\]e\] are eslJmated from tra, ining data a.ul,omatica,lly. As ;t result,, our MRl!'-l)ascd tagging nlodcl has bet,ter tmrfornla, ncc Lha, n t\[MM tagging nio(h'l, CSl)C cially when the size of&amp;quot; the training dal,a is Sliiall. Vv'e haw~ sooii l, hat tim i)or\['oriilali(:o Of l,he M HI&amp;quot;-I)ascd tagging nio(hJ can be' iinprow'd by adding inl'orina, i ion I,o tim niodct.</Paragraph>
  </Section>
class="xml-element"></Paper>