Paper: Exogeneous And Endogeneous Approaches To Semantic Categorization Of Unknown Technical Terms

ACL ID C00-1022
Title Exogeneous And Endogeneous Approaches To Semantic Categorization Of Unknown Technical Terms
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

Acquiring and updating terminological re- sources are diflicult and tedious tasks, esi)ecially when selnanti(: inti)rmal;ion should l)e t)rovided. This ])aper deals with !lbrm,b'o, mantic Ca.tog'o- riza.tion. The goal of thin l)ro(:ess in to as- sign 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 analy- sis 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 ...