Current Approaches and Applications in Natural Language Processing

• Інші автори: Montejo-Ráez, Arturo (Редактор), Jiménez-Zafra, Salud María (Редактор)
• Формат: Електронний ресурс Частина з книги
• Мова: Англійська
• Опубліковано: Basel 2022
• Предмети: Technology: general issues; History of engineering & technology; natural language processing; distributional semantics; machine learning; language model; word embeddings; machine translation; sentiment analysis; quality estimation; neural machine translation; pretrained language model; multilingual pre-trained language model; WMT; neural networks; recurrent neural networks; named entity recognition; multi-modal dataset; Wikimedia Commons; multi-modal language model; concreteness; curriculum learning; electronic health records; clinical text; relationship extraction; text classification; linguistic corpus; deception; linguistic cues; statistical analysis; discriminant function analysis; fake news detection; stance detection; social media; abstractive summarization; monolingual models; multilingual models; transformer models; transfer learning; discourse analysis; problem-solution pattern; automatic classification; machine learning classifiers; deep neural networks; question answering; machine reading comprehension; query expansion; information retrieval; multinomial naive bayes; relevance feedback; cause-effect relation; transitive closure; word co-occurrence; automatic hate speech detection; multisource feature extraction; Latin American Spanish language models; fine-grained named entity recognition; k-stacked feature fusion; dual-stacked output; unbalanced data problem; document representation; semantic analysis; conceptual modeling; universal representation; trend analysis; topic modeling; Bert; geospatial data technology and application; attention model; dual multi-head attention; inter-information relationship; question difficult estimation; named-entity recognition; BERT model; conditional random field; pre-trained model; fine-tuning; feature fusion; attention mechanism; task-oriented dialogue systems; Arabic; multi-lingual transformer model; mT5; language marker; mental disorder; deep learning; LIWC; spaCy; RobBERT; fastText; LIME; conversational AI; intent detection; slot filling; retrieval-based question answering; query generation; entity linking; knowledge graph; entity embedding; global model; DISC model; personality recognition; predictive model; text analysis; data privacy; federated learning; transformer; n/a
• Онлайн доступ: DOAB: download the publication; DOAB: description of the publication

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...