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1、ARun-TimeSharedRepositoryforNLPToolsJo~aoGra?ca1,NunoJ.Mamede1,andJo~aoD.Pereira2SpokenLanguageSystemsLabRuaAlvesRedol9,1000-029Lisboa,Portugal12LF{INESC-IDLisboa/ISTfjoao.graca,nuno.mamedeg@l2f.inesc-id.pt,2SoftwareEng.Group{INESC-IDLisboajoao@inesc-id.
2、idAbstract.NaturalLanguagesystemsareusuallycomposedbyseveraltoolsexecutedinapipelinedmanner.Thistypeofprocessingpresentssomeproblemscausedbylossofinformationbetweentools.Thispaperpresentsasolutiontothisproblemintheformofasharedrepositoryfornaturallanguag
3、eprocessing.First,relatedarchitecturesaredescribedalongwiththereasonswhytheywerenotchosenasreferencearchitec-tures.ThenwepresentoursolutionintheformofanarchitecturalmodelandthecorrespondingAPI.Resumo.Ossistemasdel?3nguanaturals~aonormalmentecompostospord
4、iferentesferramentascujaexecu?c~aoseprocessasequencialmente.Estetipodeprocessamentoapresentaproblemasdevidoμaperdadein-forma?c~aoentreferramentas.Esteartigoapresentaumasolu?c~aoparaesteproblemaqueconsistenumreposit?oriopartilhadodel?3nguanat-ural.Primeir
5、o,apresentam-searquitecturasrelacionadaseomotivopeloqualestasn~aoforamconsideradascomoarquitecturasderefer^encia.Deseguida,apresenta-seanossasolu?c~aosobaformadeummodeloarqui-tecturalearespectivaAPI.Keywords.Run-TimeRepository,LinguisticAnnotation,Blackb
6、oard.1IntroductionANaturalLanguagesystemiscomposedbyseveraltools,eachperformingaspeciˉctask.Executingthesystemcorrespondstoexecutingthevarioustoolsinapipelinedmanner(seeˉgure1).Thiskindofpipelinearchitecturepresentsthefollowingproblems:{Informationmaybel
7、ostbetweenexecutionsofdi?erenttools:whenPAsMosplitsthecontractiondo"intode"+o",theinformationthattheoriginalwordinthetextwasdo"islosttothefollowingtoolsinthesystem.{Toolsmustensurethatinformationthattheyconsiderirrelevantispassedtotheoutput.Intheexam
8、ple,thesyntacticparserSuSAnamustkeepthewordstemsforfuturetoolsalthoughithasnoneedforthem.Toavoidtheseproblems,oursolutionconsistsofhavingasharedrepositorywhichisthesourceofinput/outputofalltools.Fig.1.Existingsystemchart:S