2008-PHD-Global Inference for Sentence Compression An Integer Linear Programming Approach.pdf

2008-PHD-Global Inference for Sentence Compression An Integer Linear Programming Approach.pdf

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时间:2019-03-14

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1、GlobalInferenceforSentenceCompression:AnIntegerLinearProgrammingApproachJamesClarkeNIVERUSEITHYTOHFGERDUINBDoctorofPhilosophyInstituteforCommunicatingandCollaborativeSystemsSchoolofInformaticsUniversityofEdinburgh2008AbstractInthisthesiswedevelopmodelsforsentencecompression.Thistex

2、trewritingtaskhasrecentlyattractedalotofattentionduetoitsrelevanceforapplications(e.g.,sum-marisation)andsimpleformulationbymeansofworddeletion.Previousmodelsforsentencecompressionhavebeeninherentlylocalandthusfailtocapturethelongrangedependenciesandcomplexinteractionsinvolvedintex

3、trewriting.Wepresentasolu-tionbyframingthetaskasanoptimisationproblemwithlocalandglobalconstraintsandrecastexistingcompressionmodelsintothisframework.Usingtheconstraintsweinstillsyntactic,semanticanddiscourseknowledgethemodelsotherwisefailtocap-ture.Weshowthattheadditionofconstrain

4、tsallowrelativelysimplelocalmodelstoreachstate-of-the-artperformanceforsentencecompression.Thethesisprovidesadetailedstudyofsentencecompressionanditsmodels.Thedifferencesbetweenautomaticandmanuallycreatedcompressioncorporaareassessedalongwithhowcompressionvariesacrosswrittenandspok

5、entext.Wealsodis-cussvarioustechniquesforautomaticallyandmanuallyevaluatingcompressionoutputagainstagoldstandard.Modelsarereviewedbasedontheirassumptions,trainingre-quirements,andscalability.Weintroduceageneralmethodforextendingpreviousapproachestoallowformoreglobalmodels.Thisisach

6、ievedthroughtheoptimisationframeworkofIntegerLinearProgramming(ILP).Wereformulatethreecompressionmodels:anunsuper-visedmodel,asemi-supervisedmodelandafullysupervisedmodelasILPproblemsandaugmentthemwithconstraints.Theseconstraintsareintuitiveforthecompressiontaskandarebothsyntactica

7、llyandsemanticallymotivated.Wedemonstratehowtheyimprovecompressionqualityandreducetherequirementsontrainingmaterial.Finally,wedelveintodocumentcompressionwherethetaskistocompressev-erysentenceofadocumentandusetheresultingsummaryasareplacementfortheoriginaldocument.Fordocument-based

8、compressionweinvestigatedi

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