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1、TheRealitiesofGeneratingNaturalLanguagefromDatabasesRobertDaley,StephenJGreeny,MariaMilosavljevicz,CecileParisz,CorneliaVerspooryandSandraWilliamsyyMRILanguageTechnologyGroupMacquarieUniversity,Sydneynsw2109,AustraliaandzcsiroMathematicalandInformationSciencesLockedBa
2、g17,NorthRydensw1670,AustraliaAbstract.Researchinnaturallanguagegenerationpromisessignicantadvancesinthewaysinwhichwecanmakeavailablethecontentsofunderlyinginformationsources.Mostworkintheeldreliesontheex-istenceofcarefullyconstructedarticialintelligenceknowledgebas
3、es;however,therealityisthatmostinformationcurrentlystoredoncom-putersisnotrepresentedinthisformat.Inthispaper,wedescribesomeworkinprogresswhereweattempttogeneratelargenumbersoftextsautomaticallyfromexistingunderlyingdatabases.Wefocushereinpar-ticularontheautomaticgener
4、ationofdescriptionsofobjectsstoredinamuseumdatabase,highlightingthedicultiesthatariseinusingarealdatasource,andpointingtosomepossiblesolutions.1IntroductionNaturallanguagegenerationisconcernedwiththedevelopmentoftechniquesforproducinglinguisticoutput,whetherwrittenors
5、poken,fromsomeunderlyinginformationsource.Byprovidingthiscapability,thetechnologyoersanumberofimportantbenets,includingthefollowing:Up-to-datereportinganddocumentation:ifdescriptionsoftheinforma-tionsourcearecreatedautomaticallyanddynamically,thereisnorequire-menttou
6、pdatesuchdescriptionsmanually,withtheattendantproblemsoferrorsanddelay;Multilinguality:iftheunderlyinginformationsourceisnotexpressedintermsofaparticularnaturallanguage,thenitispossibletogeneratedescriptionsofthesameinformationindierentlanguagesautomatically;Contextua
7、ltailoring:sincethetextscanbegeneratedon-demand,thegener-ationprocesscanmakeuseofinformationonlyavailableatthepointofuse(suchascharacteristicsoftheparticularreader,orinformationaboutthecontentofrecentinteractionstheuserhashadwiththesystem)tocreatetextsthataretailoredto
8、thesituation.Agreatdealofresearchhasbeencarriedouttoexplorethetechnicalrequire-mentsthatneedtobemettoprovidethesecapa