LEADER 05912nam 2201633z- 450 001 9910595079903321 005 20231214133243.0 035 $a(CKB)5680000000080726 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/92022 035 $a(EXLCZ)995680000000080726 100 $a20202209d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCurrent Approaches and Applications in Natural Language Processing 210 $aBasel$cMDPI Books$d2022 215 $a1 electronic resource (476 p.) 311 $a3-0365-4439-9 311 $a3-0365-4440-2 330 $aCurrent 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. 606 $aTechnology: general issues$2bicssc 606 $aHistory of engineering & technology$2bicssc 610 $anatural language processing 610 $adistributional semantics 610 $amachine learning 610 $alanguage model 610 $aword embeddings 610 $amachine translation 610 $asentiment analysis 610 $aquality estimation 610 $aneural machine translation 610 $apretrained language model 610 $amultilingual pre-trained language model 610 $aWMT 610 $aneural networks 610 $arecurrent neural networks 610 $anamed entity recognition 610 $amulti-modal dataset 610 $aWikimedia Commons 610 $amulti-modal language model 610 $aconcreteness 610 $acurriculum learning 610 $aelectronic health records 610 $aclinical text 610 $arelationship extraction 610 $atext classification 610 $alinguistic corpus 610 $adeception 610 $alinguistic cues 610 $astatistical analysis 610 $adiscriminant function analysis 610 $afake news detection 610 $astance detection 610 $asocial media 610 $aabstractive summarization 610 $amonolingual models 610 $amultilingual models 610 $atransformer models 610 $atransfer learning 610 $adiscourse analysis 610 $aproblem-solution pattern 610 $aautomatic classification 610 $amachine learning classifiers 610 $adeep neural networks 610 $aquestion answering 610 $amachine reading comprehension 610 $aquery expansion 610 $ainformation retrieval 610 $amultinomial naive bayes 610 $arelevance feedback 610 $acause-effect relation 610 $atransitive closure 610 $aword co-occurrence 610 $aautomatic hate speech detection 610 $amultisource feature extraction 610 $aLatin American Spanish language models 610 $afine-grained named entity recognition 610 $ak-stacked feature fusion 610 $adual-stacked output 610 $aunbalanced data problem 610 $adocument representation 610 $asemantic analysis 610 $aconceptual modeling 610 $auniversal representation 610 $atrend analysis 610 $atopic modeling 610 $aBert 610 $ageospatial data technology and application 610 $aattention model 610 $adual multi-head attention 610 $ainter-information relationship 610 $aquestion difficult estimation 610 $anamed-entity recognition 610 $aBERT model 610 $aconditional random field 610 $apre-trained model 610 $afine-tuning 610 $afeature fusion 610 $aattention mechanism 610 $atask-oriented dialogue systems 610 $aArabic 610 $amulti-lingual transformer model 610 $amT5 610 $alanguage marker 610 $amental disorder 610 $adeep learning 610 $aLIWC 610 $aspaCy 610 $aRobBERT 610 $afastText 610 $aLIME 610 $aconversational AI 610 $aintent detection 610 $aslot filling 610 $aretrieval-based question answering 610 $aquery generation 610 $aentity linking 610 $aknowledge graph 610 $aentity embedding 610 $aglobal model 610 $aDISC model 610 $apersonality recognition 610 $apredictive model 610 $atext analysis 610 $adata privacy 610 $afederated learning 610 $atransformer 615 7$aTechnology: general issues 615 7$aHistory of engineering & technology 700 $aMontejo-Ra?ez$b Arturo$4edt$01323099 702 $aJime?nez-Zafra$b Salud Mari?a$4edt 702 $aMontejo-Ra?ez$b Arturo$4oth 702 $aJime?nez-Zafra$b Salud Mari?a$4oth 906 $aBOOK 912 $a9910595079903321 996 $aCurrent Approaches and Applications in Natural Language Processing$93035382 997 $aUNINA