Teaching Machines to Read and Comprehend

Teaching Machines to Read and Comprehend

ID:40405117

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页数:13页

时间:2019-08-01

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1、TeachingMachinestoReadandComprehendKarlMoritzHermannyToma´sKoˇciskˇy´zEdwardGrefenstetteyLasseEspeholtyWillKayyMustafaSuleymanyPhilBlunsomyzyGoogleDeepMindzUniversityofOxfordfkmh,etg,lespeholt,wkay,mustafasul,pblunsomg@google.comtomas@kocisky.euAbstractTea

2、chingmachinestoreadnaturallanguagedocumentsremainsanelusivechal-lenge.Machinereadingsystemscanbetestedontheirabilitytoanswerquestionsposedonthecontentsofdocumentsthattheyhaveseen,butuntilnowlargescaletrainingandtestdatasetshavebeenmissingforthistypeofevalu

3、ation.Inthisworkwedefineanewmethodologythatresolvesthisbottleneckandprovideslargescalesupervisedreadingcomprehensiondata.Thisallowsustodevelopaclassofattentionbaseddeepneuralnetworksthatlearntoreadrealdocumentsandanswercomplexquestionswithminimalpriorknowle

4、dgeoflanguagestructure.1IntroductionProgressonthepathfromshallowbag-of-wordsinformationretrievalalgorithmstomachinesca-pableofreadingandunderstandingdocumentshasbeenslow.Traditionalapproachestomachinereadingandcomprehensionhavebeenbasedoneitherhandengineer

5、edgrammars[1],orinformationextractionmethodsofdetectingpredicateargumenttriplesthatcanlaterbequeriedasarelationaldatabase[2].Supervisedmachinelearningapproacheshavelargelybeenabsentfromthisspaceduetoboththelackoflargescaletrainingdatasets,andthedifficultyin

6、structuringstatisticalmodelsflexibleenoughtolearntoexploitdocumentstructure.Whileobtainingsupervisednaturallanguagereadingcomprehensiondatahasproveddifficult,someresearchershaveexploredgeneratingsyntheticnarrativesandqueries[3,4].Suchapproachesallowthegenera

7、tionofalmostunlimitedamountsofsuperviseddataandenableresearcherstoisolatetheperformanceoftheiralgorithmsonindividualsimulatedphenomena.WorkonsuchdatahasshownarXiv:1506.03340v1[cs.CL]10Jun2015thatneuralnetworkbasedmodelsholdpromiseformodellingreadingcompreh

8、ension,somethingthatwewillbuilduponhere.Historically,however,manysimilarapproachesinComputationalLinguisticshavefailedtomanagethetransitionfromsyntheticdatatorealenvironments,assuchclosedworldsinevitablyfailt

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