TY - BOOK ID - 137389094 TI - Current Approaches and Applications in Natural Language Processing AU - Montejo-Ráez, Arturo AU - Jiménez-Zafra, Salud María PY - 2022 PB - Basel MDPI Books DB - UniCat KW - natural language processing KW - distributional semantics KW - machine learning KW - language model KW - word embeddings KW - machine translation KW - sentiment analysis KW - quality estimation KW - neural machine translation KW - pretrained language model KW - multilingual pre-trained language model KW - WMT KW - neural networks KW - recurrent neural networks KW - named entity recognition KW - multi-modal dataset KW - Wikimedia Commons KW - multi-modal language model KW - concreteness KW - curriculum learning KW - electronic health records KW - clinical text KW - relationship extraction KW - text classification KW - linguistic corpus KW - deception KW - linguistic cues KW - statistical analysis KW - discriminant function analysis KW - fake news detection KW - stance detection KW - social media KW - abstractive summarization KW - monolingual models KW - multilingual models KW - transformer models KW - transfer learning KW - discourse analysis KW - problem–solution pattern KW - automatic classification KW - machine learning classifiers KW - deep neural networks KW - question answering KW - machine reading comprehension KW - query expansion KW - information retrieval KW - multinomial naive bayes KW - relevance feedback KW - cause-effect relation KW - transitive closure KW - word co-occurrence KW - automatic hate speech detection KW - multisource feature extraction KW - Latin American Spanish language models KW - fine-grained named entity recognition KW - k-stacked feature fusion KW - dual-stacked output KW - unbalanced data problem KW - document representation KW - semantic analysis KW - conceptual modeling KW - universal representation KW - trend analysis KW - topic modeling KW - Bert KW - geospatial data technology and application KW - attention model KW - dual multi-head attention KW - inter-information relationship KW - question difficult estimation KW - named-entity recognition KW - BERT model KW - conditional random field KW - pre-trained model KW - fine-tuning KW - feature fusion KW - attention mechanism KW - task-oriented dialogue systems KW - Arabic KW - multi-lingual transformer model KW - mT5 KW - language marker KW - mental disorder KW - deep learning KW - LIWC KW - spaCy KW - RobBERT KW - fastText KW - LIME KW - conversational AI KW - intent detection KW - slot filling KW - retrieval-based question answering KW - query generation KW - entity linking KW - knowledge graph KW - entity embedding KW - global model KW - DISC model KW - personality recognition KW - predictive model KW - text analysis KW - data privacy KW - federated learning KW - transformer KW - n/a KW - problem-solution pattern UR - https://www.unicat.be/uniCat?func=search&query=sysid:137389094 AB - 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. ER -