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ID:39715679
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页数:12页
时间:2019-07-09
《NaturalLI Natural Logic Inference for Common Sense Reasoning 》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、NaturalLI:NaturalLogicInferenceforCommonSenseReasoningGaborAngeliChristopherD.ManningStanfordUniversityStanfordUniversityStanford,CA94305Stanford,CA94305angeli@cs.stanford.edumanning@cs.stanford.eduAbstractNocarnivoreseatanimals?fCommon-sensereasoningisimportantforwThecarnivoresNocats.
2、..AIapplications,bothinNLPandmanyeatanimalseatanimalsvisionandroboticstasks.WeproposewwNaturalLI:aNaturalLogicinferencesys-ThecatNocats...eatsanimalseatmicetemforinferringcommonsensefacts–for≡instance,thatcatshavetailsortomatoesThecatareround–fromaverylargedatabaseateananimalwofknownfa
3、cts.InadditiontobeingableThecattoprovidestrictlyvalidderivations,theateamousesystemisalsoabletoproducederivationswhichareonlylikelyvalid,accompaniedFigure1:NaturalLogicinferencecastassearch.byanassociatedconfidence.WebothThepathtotheboxedpremisethecatateamouseshowthatoursystemisabletoca
4、pturedisprovesthequerynocarnivoreseatanimals,asstrictNaturalLogicinferencesontheFra-itpassesthroughthenegationrelation(f).ThisCaStestsuite,anddemonstrateitsabilitypathisoneofmanycandidatestaken;thepremisetopredictcommonsensefactswith49%isoneofmanyknownfactsinthedatabase.Therecalland91%
5、precision.edgelabelsdenoteNaturalLogicinferencesteps.1IntroductionWeapproachthetaskofdatabasecompletion:headwayinprovidingbroad-coveragemeaninggivenadatabaseoftruefacts,wewouldliketorepresentations,itremainsappealingtousehu-predictwhetheranunseenfactistrueandshouldmanlanguageasthevesse
6、lforinference.Fur-belonginthedatabase.Thisisintuitivelycastasthermore,OpenIEandsimilarprojectshavebeenaninferenceproblemfromacollectionofcandi-verysuccessfulatcollectingdatabasesofnaturaldatepremisestothetruthofthequery.Forexam-languagesnippetsfromanever-increasingcorpusple,wewouldlike
7、toinferthatnocarnivoreseatofunstructuredtext.ThesefactorsmotivateouranimalsisfalsegivenadatabasecontainingthecatuseofNaturalLogic–aproofsystembuiltontheateamouse(seeFigure1).syntaxofhumanlanguage–forbroadcoverageTheseinferencesaredifficulttocaptureindatabasecompletion.aprincipledwaywh
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