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1、ShallowNLPtechniquesforInternetSearchAlexPenevRaymondWongNationalICTAustraliaandSchoolofComputerScienceandEngineering,UniversityofNewSouthWales,Sydney,NSW2052,Australia{alexpenev,wong}@cse.unsw.edu.auAbstractoraustriancomposersborninthe1600s”and“na-tiveanimalsinaus
2、tralia,butnotmarsupials”showInformationRetrieval(IR)isamajorcomponentinthatthereisroomforimprovementintoday’sen-manyofourdailyactivities,withperhapsitsmostgines.Moreelaboratequeriessuchas“700mlJohnnieprominentrolemanifestedinsearchengines.Today’sWalkerRedLabel,inSy
3、dneyforunder$30”cannotmostadvancedenginesusethekeyword-based(“bagbeansweredatall,evenwhenappropriatedocumentsofwords”)paradigm,whichconcedessomeinher-areindexedbytheengine.entdisadvantages.WebelievethatnaturallanguageThroughpracticeandtribulation,userslearnto(NL)is
4、amoreuser-oriented,context-preservativementallyculltheirqueriesintoasetofonlythefewandintuitivemechanismforwebsearch.“mostimportant”components,beforesendingare-Inthispaper,weexploreshallowNLPtechniquesquesttoanengine.Thisstructuralrearrangement,tosupportarangeofNLq
5、ueriesoveranexistingcoupledwithsearchengines’treatmentofkeywordskeyword-basedengine.WepresentJASE,awebap-asindividuals,couldbeimpedingtheiraccuracy.plicationenvelopingtheGooglesearchengine,whichFurthermore,tobecomeproficientatusingacer-performswebsearchesbydecomposi
6、nginputNLtainengine,usersmustlearnitsspecialoperators.queriesandgeneratingnewqueriesthataremoreThesedifferbetweeneachengineandrenderthesuitableforthesearchengine.Byusingsomeofsearchmechanismtobeunnatural,duetothein-Google’ssyntacticoperatorsandfilters,itcreatestroduc
7、tionofforeignmodifiersintothequery.Our“clever”queriestoimproveprecision.evaluationsurveyindicatesthataverageGoogleusersApreliminaryevaluationwasconductedtotestarelargelyunawareofitsoperatorsandfilters,andJASE’saccuracy,andresultshavebeenencouraging.rarelyusetheminpra
8、ctice.WeconcludethattheNLmodelhaspotentialtonotTherehasbeenfewsignificantadvancesinInter-onlyrivalthekeyword-basedparadigm,butsubstan-netsearchfor