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Current Approaches and Applications in Natural Language Processing

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Palabras clave – provistas por la editorial

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

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-4440-3

País de edición

Suiza