一个以概念演算法为基础的方法为地名消除歧义【外文翻译】

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1、本科毕业设计（论文）外文翻译原文：Aconceptualdensity-basedapproachforthedisambiguationoftoponymsNowadays,ahugequantityofinformationisstoredindigitalformat.Agreatportionofthisinformationisconstitutedbytextualandunstructureddocuments,wheregeographicalreferencesareusuallygivenbymeansofplacena

2、mes.Acommonproblemwithtextualinformationretrievalisrepresentedbypolysemouswords,thatis,wordscanhavemorethanonesense.Thisproblemispresentalsointhegeographicaldomain:placenamesmayrefertodifferentlocationsintheworld.Inthispaperweinvestigatetheuseofourwordsensedisambiguationte

3、chniqueinthegeographicaldomain,withtheaimofresolvingambiguousplacenames.OurtechniqueisbasedonWordNetconceptualdensity.DuetothelackofareferencecorpustaggedwithWordNetsenses,wecarriedouttheexperimentsoverasetof1,210placenamesextractedfromtheSemCorcorpusthatwenamedGeoSemCoran

4、dmadepubliclyavailable.Wecomparedourmethodwiththemost-frequentbaselineandtheenhanced-Leskmethod,whichpreviouslyhasnotbeentestedinlargecontexts.Theresultsshowthatabetterprecisioncanbeachievedbyusingasmallcontext(phraselevel),whereasagreatercoveragecanbeobtainedbyusinglargec

5、ontexts(documentlevel).Theproposedmethodshouldbetestedwithothercorpora,duetothefactthatourexperimentsevidencedtheexcessivebiastowardsthemost-frequentsenseoftheGeoSemCor.Keywords:Wordsensedisambiguation;Toponymresolution;Conceptualdensity;Spatialindexing1.IntroductionAgreat

6、portionoftheinformationcurrentlyavailableindigitalformatisconstitutedbytextualandunstructureddocuments.Thecontinuousgrowthofthiskindofinformationandtheincreasingnumberofusersthatcanaccessitconstituteachallengetothedevelopersofinformationretrieval(IR)systems.Oneofthemostcha

7、llengingproblemsistheambiguityofhumanlanguage.Whensearchingforspecifickeywords,itisdesirabletoeliminateoccurrencesindocumentswherethewordorwordsareusedinaninappropriatesense(IdeandV′eronis1998).Ambiguitycanbeofvarioustypes:propernamesmayidentifydifferentclassesofnamedentit

8、ies(forinstance,‘London’mayidentifythewriter‘JackLondon’oracityintheUK),ormaybeusedasanam