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1、AspectualModi cationstoaLCSDatabaseforNLPApplicationsBonnieJ.DorrandMariBromanOlsenLaboratoryforLanguageandMediaProcessingDepartmentofComputerScienceandInstituteforAdvancedComputerStudiesUniversityofMarylandCollegePark,MD20742,USAfbonnie,molseng@umiacs.umd.
2、eduAbstract:Verbalandcompositionallexicalaspectprovidetheunderlyingtemporalstructureofevents.Knowledgeoflexicalaspect,e.g.,(a)telicity,isthereforerequiredforinterpretingeventsequencesindiscourse(Dowty,1986;MoensandSteedman,1988;Passoneau,1988),interfacingtot
3、emporaldatabases(Androutsopoulos,1996),processingtemporalmodi ers(Antonisse,1994),describingallowablealternationsandtheirsemantice ects(Resnik,1996;Tenny,1994),andselectingtenseandlexicalitemsfornaturallan-guagegeneration((DorrandOlsen,1996;KlavansandChodoro
4、w,1992),cf.(SlobinandBocaz,1988)).Weshowthatitispossibletorepresentlexicalaspect
5、bothverbalandcompositional
6、onalargescale,usingLexicalConceptualStructure(LCS)representationsofverbsintheclassescatalogedbyLevin(1993).Weshowhowproperconsiderationoftheseuniversa
7、lpiecesofverbmeaningmaybeusedtore nelexicalrepresentationsandderivearangeofmeaningsfromcombinationsofLCSrepresentations.Asinglealgorithmmaythereforebeusedtodeterminelexicalaspectclassesandfeaturesatbothverbalandsentencelevels.Finally,weillustratehowknowledge
8、oflexicalaspectfacilitatestheinter-pretationofeventsinNLPapplications.Thisworkwassupported,inpart,byDepartmentofDefensecontractMDA90496C1250,ArmyResearchOcecontractDAAL03-91-C-0034throughBattelleCorporation,NSFNYIIRI-9357731andLogosCorpo-ration,NSFCNRSINT-
9、9314583,AdvancedResearchProjectsAgencyandONRcontractN00014-92-J-1929,AlfredP.SloanResearchFellowAwardBR3336,ArmyResearchInstitutecontractMDA-903-92-R-0035andMicroelectronicsandDesign,Inc.,andtheUniversityofMarylandGeneralResearchBoard.Anyopinions, ndings,and
10、conclusionsorrecommendationsexpressedinthismaterialarethoseoftheauthor(s)anddonotnecessarilyre
ecttheviewsoftheNationalScienceFoundation,DepartmentofArmy,orDepartmentofDefense.01IntroductionKnow
