05937nam 2201657z- 450 991059507990332120220916(CKB)5680000000080726(oapen)https://directory.doabooks.org/handle/20.500.12854/92022(oapen)doab92022(EXLCZ)99568000000008072620202209d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierCurrent Approaches and Applications in Natural Language ProcessingBasel20221 online 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.History of engineering & technologybicsscTechnology: general issuesbicsscabstractive summarizationArabicattention mechanismattention modelautomatic classificationautomatic hate speech detectionBertBERT modelcause-effect relationclinical textconceptual modelingconcretenessconditional random fieldconversational AIcurriculum learningdata privacydeceptiondeep learningdeep neural networksDISC modeldiscourse analysisdiscriminant function analysisdistributional semanticsdocument representationdual multi-head attentiondual-stacked outputelectronic health recordsentity embeddingentity linkingfake news detectionfastTextfeature fusionfederated learningfine-grained named entity recognitionfine-tuninggeospatial data technology and applicationglobal modelinformation retrievalintent detectioninter-information relationshipk-stacked feature fusionknowledge graphlanguage markerlanguage modelLatin American Spanish language modelsLIMElinguistic corpuslinguistic cuesLIWCmachine learningmachine learning classifiersmachine reading comprehensionmachine translationmental disordermonolingual modelsmT5multi-lingual transformer modelmulti-modal datasetmulti-modal language modelmultilingual modelsmultilingual pre-trained language modelmultinomial naive bayesmultisource feature extractionn/anamed entity recognitionnamed-entity recognitionnatural language processingneural machine translationneural networkspersonality recognitionpre-trained modelpredictive modelpretrained language modelproblem-solution patternquality estimationquery expansionquery generationquestion answeringquestion difficult estimationrecurrent neural networksrelationship extractionrelevance feedbackretrieval-based question answeringRobBERTsemantic analysissentiment analysisslot fillingsocial mediaspaCystance detectionstatistical analysistask-oriented dialogue systemstext analysistext classificationtopic modelingtransfer learningtransformertransformer modelstransitive closuretrend analysisunbalanced data problemuniversal representationWikimedia CommonsWMTword co-occurrenceword embeddingsHistory of engineering & technologyTechnology: general issuesMontejo-Ráez Arturoedt1323099Jiménez-Zafra Salud MaríaedtMontejo-Ráez ArturoothJiménez-Zafra Salud MaríaothBOOK9910595079903321Current Approaches and Applications in Natural Language Processing3035382UNINA02389nam 2200529zu 450 991037587850332120210807005222.01-4503-2237-9(CKB)3780000000084317(SSID)ssj0001254653(PQKBManifestationID)11830467(PQKBTitleCode)TC0001254653(PQKBWorkID)11217381(PQKB)11695647(WaSeSS)IndRDA00022033(Association for Computing Machinery)10.1145/2491411(EXLCZ)99378000000008431720160829d2013 uy engur|||||||||||txtccr2013 9th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE) : proceedings : August 18-26, 2013, Saint Petersburg, Russia[Place of publication not identified]ACM20131 online resource (738 pages)ACM ConferencesBibliographic Level Mode of Issuance: MonographACM Conferences2013 9th Joint Meeting of the European Software Engineering Conference and the Association for Computing Machinery Special Interest Group on Software Engineering Symposium on the Foundations of Software Engineering (ESEC/FSE) :proceedings : August 18-26, 2013, Saint Petersburg, RussiaProceedings of the 2013 9th Joint Meeting on Foundations of Software EngineeringESEC/FSE '13Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, Saint Petersburg, Russian Federation - August 18 - 26, 2013Engineering & Applied SciencesHILCCComputer ScienceHILCCEngineering & Applied SciencesComputer ScienceMeyer-Stabley Bertrand9043Meyer-Stabley BertrandMezini MiraBaresi LucianoACM Digital Library.PQKBBOOK99103758785033212013 9th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC1976851UNINA