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<Paper uid="C00-1022">
  <Title>Exogeneous and Endogeneous Approaches to Semantic Categorization of Unknown Technical Terms</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Acquiring and updating terminological resources are diflicult and tedious tasks, esi)ecially when selnanti(: inti)rmal;ion should l)e t)rovided.</Paragraph>
    <Paragraph position="1"> This \])aper deals with !lbrm ,b'o, mantic Ca.tog'oriza.tion. The goal of thin l)ro(:ess in to assign senlani;i(: categories to miknown i;(~('hni(:al ternls. We t)ropose two at)l)roachen to the t)rol)1(;111 1;11;1t; rely on (tifferenl; kn()wte(tge sources. The, exogeneoun al)l)roa('h exph)it;s (;ont(~xl;ual information ex|;ra(;\[;c(t frolll cort)ora. Tile (~ll(logeneous al)i/roa(:h reli(~s on a texi('al analysis of the te(:hnical ternls. After (les(:ril)ing the two iml)lemente, d methods, we i)rese, nl, the ex\])eriments that we (:on(lu(:ted on signiticant tesl; sets. The results demonstrate, that Ix;tin (:;11;egorization (:an provide a reliable hel t) in the terminology a(:(luisition 1)ro(:esses.</Paragraph>
  </Section>
class="xml-element"></Paper>