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1、OneSensePerDiscourseWilliamA.GaleKennethW.ChurchDavidYarowskyAT&TBellLaboratories600MountainAvenueMurrayHillNJ07974-06361.ABSTRACToftenbeusedinlieuofhand-labeling.Forexample,con-siderthepolysemouswordsentence,whichhastwoma-Itiswell-knownthattherearepolysemouswordslikesentencewhose"meaning"or"sense
2、"dependsonthejorsenses:(1)ajudicialsentence,and(2),asyntacticsentence.Wecancollectanumberofsense(1)examplescontextofuse.Wehaverecentlyreportedontwonewbyextractinginstancesthataretranslatedaspeine,andword-sensedisambiguationsystems,onetrainedonbilin-wecancollectanumberofsense(2)examplesbyextract-gu
3、almaterial(theCanadianHansards)andtheotheringinstancesthataretranslatedasphrase.Inthisway,trainedonmonolingualmaterial(Roget'sThesaurusandwehavebeenabletoacquireaconsiderableamountofGrolier'sEncyclopedia).Asthisworkwasnearingcom-testingandtrainingmaterialfordevelopingandtestingpletion,weobservedav
4、erystrongdiscourseeffect.Thatourdisambiguationalgorithms.is,ifapolysemouswordsuchassentenceappearstwoormoretimesinawell-writtendiscourse,itisextremelyTheuseofbilingualmaterialsfordiscriminationdeci-likelythattheywillallsharethesamesense.ThispapersionsinmachinetranlationhasbeendiscussedbyBrowndescr
5、ibesanexperimentwhichconfirmedthishypothesisandothers(1991),andbyDagan,Itai,andSchwallandfoundthatthetendencytosharesenseinthesame(1991).Theuseofbilingualmaterialsforanessentiallydiscourseisextremelystrong(98%).Thisresultcanbemonolingualpurpose,sensedisambiguation,issimilarinusedasanadditionalsour
6、ceofconstraintforimprovingmethod,butdiffersinpurpose.theperformanceoftheword-sensedisambiguationalgo-rithm.Inaddition,itcouldalsobeusedtohelpevaluate2.2.BayesianDiscriminationdisambiguationalgorithmsthatdidnotmakeuseofthediscourseconstraint.SurprisinglygoodresultscanbeachievedusingBayesiandiscrimi
7、nationmethodswhichhavebeenusedverysuc-cessfullyinmanyotherapplications,especiallyauthor2.OURPREVIOUSWORKONidentification(MostellerandWallace,1964)andinfor-WORD-SENSEDISAMBIGUATIONmationretrieval(IR)(Salton,1989,s
