05912nam 2201633z- 450 991059507990332120231214133243.0(CKB)5680000000080726(oapen)https://directory.doabooks.org/handle/20.500.12854/92022(EXLCZ)99568000000008072620202209d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierCurrent Approaches and Applications in Natural Language ProcessingBaselMDPI Books20221 electronic resource (476 p.)3-0365-4439-9 3-0365-4440-2 Current approaches to Natural Language Processing (NLP) have shown impressive improvements in many important tasks: machine translation, language modeling, text generation, sentiment/emotion analysis, natural language understanding, and question answering, among others. The advent of new methods and techniques, such as graph-based approaches, reinforcement learning, or deep learning, have boosted many NLP tasks to a human-level performance (and even beyond). This has attracted the interest of many companies, so new products and solutions can benefit from advances in this relevant area within the artificial intelligence domain.This Special Issue reprint, focusing on emerging techniques and trendy applications of NLP methods, reports on some of these achievements, establishing a useful reference for industry and researchers on cutting-edge human language technologies.Technology: general issuesbicsscHistory of engineering & technologybicsscnatural language processingdistributional semanticsmachine learninglanguage modelword embeddingsmachine translationsentiment analysisquality estimationneural machine translationpretrained language modelmultilingual pre-trained language modelWMTneural networksrecurrent neural networksnamed entity recognitionmulti-modal datasetWikimedia Commonsmulti-modal language modelconcretenesscurriculum learningelectronic health recordsclinical textrelationship extractiontext classificationlinguistic corpusdeceptionlinguistic cuesstatistical analysisdiscriminant function analysisfake news detectionstance detectionsocial mediaabstractive summarizationmonolingual modelsmultilingual modelstransformer modelstransfer learningdiscourse analysisproblem-solution patternautomatic classificationmachine learning classifiersdeep neural networksquestion answeringmachine reading comprehensionquery expansioninformation retrievalmultinomial naive bayesrelevance feedbackcause-effect relationtransitive closureword co-occurrenceautomatic hate speech detectionmultisource feature extractionLatin American Spanish language modelsfine-grained named entity recognitionk-stacked feature fusiondual-stacked outputunbalanced data problemdocument representationsemantic analysisconceptual modelinguniversal representationtrend analysistopic modelingBertgeospatial data technology and applicationattention modeldual multi-head attentioninter-information relationshipquestion difficult estimationnamed-entity recognitionBERT modelconditional random fieldpre-trained modelfine-tuningfeature fusionattention mechanismtask-oriented dialogue systemsArabicmulti-lingual transformer modelmT5language markermental disorderdeep learningLIWCspaCyRobBERTfastTextLIMEconversational AIintent detectionslot fillingretrieval-based question answeringquery generationentity linkingknowledge graphentity embeddingglobal modelDISC modelpersonality recognitionpredictive modeltext analysisdata privacyfederated learningtransformerTechnology: general issuesHistory of engineering & technologyMontejo-Ráez Arturoedt1323099Jiménez-Zafra Salud MaríaedtMontejo-Ráez ArturoothJiménez-Zafra Salud MaríaothBOOK9910595079903321Current Approaches and Applications in Natural Language Processing3035382UNINA