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1、StatisticalModelsforUnsupervisedPrepositionalPhraseAttachmentAdwaitRatnaparkhiDept.ofComputerandInformationScienceUniversityofPennsylvania200South33rdStreetPhiladelphia,PA19104-6389adwait@unagi.cis.upenn.eduAbstract2PreviousWorkWepresentseveralunsupervisedstatisticalMostoftheprevioussuccessf
2、ulapproachestomodelsfortheprepositionalphraseattachmentthisproblemhavebeenstatisticalorcorpus-taskthatapproachtheaccuracyofthebestsu-based,andtheyconsideronlyprepositionspervisedmethodsforthistask.Ourunsuper-whoseattachmentisambiguousbetweenapre-visedapproachusesaheuristicbasedonat-cedingnou
3、nphraseandverbphrase.Previoustachmentproximityandtrainsfromrawtextworkhasframedtheproblemasaclassificationthatisannotatedwithonlypart-of-speechtagstask,inwhichthegoalistopredictNorV,cor-andmorphologicalbaseforms,asopposedtorespondingtonounorverbattachment,givenattachmentinformation.Itistheref
4、orelesstheheadverbv,theheadnounn,thepreposi-resource-intensiveandmoreportablethanpre-tionp,andoptionally,theobjectoftheprepo-viouscorpus-basedalgorithmproposedforthissitionn2.Forexample,the(v,n,p,n2)tuplestask.Wepresentresultsforprepositionalcorrespondingtotheexamplesentencesarephraseattachm
5、entinbothEnglishandSpan-ish.1.boughtshirtwithpockets2.washedshirtwithsoap1IntroductionPrepositionalphraseattachmentisthetaskofThecorrectclassificationsoftuples1and2aredeciding,foragivenprepositioninasentence,NandV,respectively.theattachmentsitethatcorrespondstothe(HindleandRooth,1993)describe
6、sapar-interpretationofthesentence.Forexample,tiallysupervisedapproachinwhichtheFID-thetaskinthefollowingexamplesistode-DITCHpartialparserwasusedtoextractcidewhethertheprepositionwithmodifiesthe(v,n,p)tuplesfromrawtext,wherepisaarXiv:cmp-lg/9807011v122Jul1998precedingnounphrase(withheadwordshi
7、rt)prepositionwhoseattachmentisambiguousbe-ortheprecedingverbphrase(withheadwordtweentheheadverbvandtheheadnounn.boughtorwashed).Theextractedtuplesarethenusedtocon-structaclassifier,whichresolvesunseenambi-1.Iboughttheshirtwithpockets.guitiesataroun
