Explainable Natural Language Processing PDF
Preview Explainable Natural Language Processing
Explainable Natural Language Processing iii Synthesis Lectures on Human Language Technologies Editor GraemeHirst,UniversityofToronto SynthesisLecturesonHumanLanguageTechnologiesiseditedbyGraemeHirstoftheUniversity ofToronto.Theseriesconsistsof50-to150-pagemonographsontopicsrelatingtonatural languageprocessing,computationallinguistics,informationretrieval,andspokenlanguage understanding.Emphasisisonimportantnewtechniques,onnewapplications,andontopicsthat combinetwoormoreHLTsubfields. ExplainableNaturalLanguageProcessing AndersSøgaard 2021 Finite-StateTextProcessing KyleGormanandRichardSproat 2021 SemanticRelationsBetweenNominals,SecondEdition ViviNastase,StanSzpakowicz,PreslavNakov,andDiarmuidÓSéagdha 2021 EmbeddingsinNaturalLanguageProcessing:TheoryandAdvancesinVector RepresentationsofMeaning MohammadTaherPilehvarandJoseCamacho-Collados 2020 ConversationalAI:DialogueSystems,ConversationalAgents,andChatbots MichaelMcTear 2020 NaturalLanguageProcessingforSocialMedia,ThirdEdition AnnaAtefehFarzindarandDianaInkpen 2020 StatisticalSignificanceTestingforNaturalLanguageProcessing RotemDror,LotemPeled,SegevShlomov,andRoiReichart 2020 iv DeepLearningApproachestoTextProduction ShashiNarayanandClaireGardent 2020 LinguisticFundamentalsforNaturalLanguageProcessingII:100Essentialsfrom SemanticsandPragmatics EmilyM.BenderandAlexLascarides 2019 Cross-LingualWordEmbeddings AndersSøgaard,IvanVulić,SebastianRuder,ManaalFaruqui 2019 BayesianAnalysisinNaturalLanguageProcessing,SecondEdition ShayCohen 2019 ArgumentationMining ManfredStedeandJodiSchneider 2018 QualityEstimationforMachineTranslation LuciaSpecia,CarolinaScarton,andGustavoHenriquePaetzold 2018 NaturalLanguageProcessingforSocialMedia,SecondEdition AtefehFarzindarandDianaInkpen 2017 AutomaticTextSimplification HoracioSaggion 2017 NeuralNetworkMethodsforNaturalLanguageProcessing YoavGoldberg 2017 Syntax-basedStatisticalMachineTranslation PhilipWilliams,RicoSennrich,MattPost,andPhilippKoehn 2016 Domain-SensitiveTemporalTagging JannikStrötgenandMichaelGertz 2016 v LinkedLexicalKnowledgeBases:FoundationsandApplications IrynaGurevych,JudithEckle-Kohler,andMichaelMatuschek 2016 BayesianAnalysisinNaturalLanguageProcessing ShayCohen 2016 Metaphor:AComputationalPerspective TonyVeale,EkaterinaShutova,andBeataBeigmanKlebanov 2016 GrammaticalInferenceforComputationalLinguistics JeffreyHeinz,ColindelaHiguera,andMennovanZaanen 2015 AutomaticDetectionofVerbalDeception EileenFitzpatrick,JoanBachenko,andTommasoFornaciari 2015 NaturalLanguageProcessingforSocialMedia AtefehFarzindarandDianaInkpen 2015 SemanticSimilarityfromNaturalLanguageandOntologyAnalysis SébastienHarispe,SylvieRanwez,StefanJanaqi,andJackyMontmain 2015 LearningtoRankforInformationRetrievalandNaturalLanguageProcessing,Second Edition HangLi 2014 Ontology-BasedInterpretationofNaturalLanguage PhilippCimiano,ChristinaUnger,andJohnMcCrae 2014 AutomatedGrammaticalErrorDetectionforLanguageLearners,SecondEdition ClaudiaLeacock,MartinChodorow,MichaelGamon,andJoelTetreault 2014 WebCorpusConstruction RolandSchäferandFelixBildhauer 2013 RecognizingTextualEntailment:ModelsandApplications IdoDagan,DanRoth,MarkSammons,andFabioMassimoZanzotto 2013 vi LinguisticFundamentalsforNaturalLanguageProcessing:100Essentialsfrom MorphologyandSyntax EmilyM.Bender 2013 Semi-SupervisedLearningandDomainAdaptationinNaturalLanguageProcessing AndersSøgaard 2013 SemanticRelationsBetweenNominals ViviNastase,PreslavNakov,DiarmuidÓSéaghdha,andStanSzpakowicz 2013 ComputationalModelingofNarrative InderjeetMani 2012 NaturalLanguageProcessingforHistoricalTexts MichaelPiotrowski 2012 SentimentAnalysisandOpinionMining BingLiu 2012 DiscourseProcessing ManfredStede 2011 BitextAlignment JörgTiedemann 2011 LinguisticStructurePrediction NoahA.Smith 2011 LearningtoRankforInformationRetrievalandNaturalLanguageProcessing HangLi 2011 ComputationalModelingofHumanLanguageAcquisition AfraAlishahi 2010 IntroductiontoArabicNaturalLanguageProcessing NizarY.Habash 2010 vii Cross-LanguageInformationRetrieval Jian-YunNie 2010 AutomatedGrammaticalErrorDetectionforLanguageLearners ClaudiaLeacock,MartinChodorow,MichaelGamon,andJoelTetreault 2010 Data-IntensiveTextProcessingwithMapReduce JimmyLinandChrisDyer 2010 SemanticRoleLabeling MarthaPalmer,DanielGildea,andNianwenXue 2010 SpokenDialogueSystems KristiinaJokinenandMichaelMcTear 2009 IntroductiontoChineseNaturalLanguageProcessing Kam-FaiWong,WenjieLi,RuifengXu,andZheng-shengZhang 2009 IntroductiontoLinguisticAnnotationandTextAnalytics GrahamWilcock 2009 DependencyParsing SandraKübler,RyanMcDonald,andJoakimNivre 2009 StatisticalLanguageModelsforInformationRetrieval ChengXiangZhai 2008 Copyright©2021byMorgan&Claypool Allrightsreserved.Nopartofthispublicationmaybereproduced,storedinaretrievalsystem,ortransmittedin anyformorbyanymeans—electronic,mechanical,photocopy,recording,oranyotherexceptforbriefquotations inprintedreviews,withoutthepriorpermissionofthepublisher. ExplainableNaturalLanguageProcessing AndersSøgaard www.morganclaypool.com ISBN:9781636392134 paperback ISBN:9781636392141 ebook ISBN:9781636392158 hardcover DOI10.2200/S01118ED1V01Y202107HLT051 APublicationintheMorgan&ClaypoolPublishersseries SYNTHESISLECTURESONHUMANLANGUAGETECHNOLOGIES Lecture#51 SeriesEditor:GraemeHirst,UniversityofToronto SeriesISSN Print1947-4040 Electronic1947-4059 Explainable Natural Language Processing Anders Søgaard UniversityofCopenhagen SYNTHESISLECTURESONHUMANLANGUAGETECHNOLOGIES#51 M &C Morgan &cLaypool publishers ABSTRACT This book presents a taxonomy framework and survey of methods relevant to explaining the decisionsandanalyzingtheinnerworkingsofNaturalLanguageProcessing(NLP)models.The bookisintendedtoprovideasnapshotofExplainableNLP,thoughthefieldcontinuestorapidly grow. The book is intended to be both readable by first-year M.Sc. students and interesting to anexpertaudience.Thebookopensbymotivatingafocusonprovidingaconsistenttaxonomy, pointingoutinconsistenciesandredundanciesinprevioustaxonomies.Itgoesontopresent(i)a taxonomy or framework for thinking about how approaches to explainable NLP relate to one another;(ii)briefsurveysofeachoftheclassesinthetaxonomy,withafocusonmethodsthatare relevant for NLP; and (iii) a discussion of the inherent limitations of some classes of methods, aswellashowtobestevaluatethem.Finally,thebookclosesbyprovidingalistofresourcesfor furtherresearchonexplainability. KEYWORDS naturallanguageprocessing,interpretability,explainability,taxonomies,resources
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