TY - BOOK ID - 145648403 TI - Natural Language Processing: Emerging Neural Approaches and Applications AU - Esposito, Massimo AU - Masala, Giovanni Luca AU - Minutolo, Aniello AU - Pota, Marco PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Information technology industries KW - Computer science KW - tourism big data KW - text mining KW - NLP KW - deep learning KW - clinical named entity recognition KW - information extraction KW - multitask model KW - long short-term memory KW - conditional random field KW - relation extraction KW - entity recognition KW - long short-term memory network KW - multi-turn chatbot KW - dialogue context encoding KW - WGAN-based response generation KW - BERT word embedding KW - text summary KW - reinforce learning KW - FAQ classification KW - encoder-decoder neural network KW - multi-level word embeddings KW - BERT KW - bidirectional RNN KW - cloze test KW - Korean dataset KW - machine comprehension KW - neural language model KW - sentence completion KW - primary healthcare KW - chief complaint KW - virtual medical assistant KW - spoken natural language KW - disease diagnosis KW - medical specialist KW - protein-protein interactions KW - deep learning (DL) KW - convolutional neural networks (CNN) KW - bidirectional long short-term memory (bidirectional LSTM) KW - dialogue management KW - user simulation KW - reward shaping KW - conversation knowledge KW - multi-agent reinforcement learning KW - language modeling KW - classification KW - error probability KW - error assessment KW - logic error KW - neural network KW - LSTM KW - attention mechanism KW - programming education KW - neural architecture search KW - word ordering KW - Korean syntax KW - adversarial attack KW - adversarial example KW - sentiment classification KW - dual pointer network KW - context-to-entity attention KW - text classification KW - rule-based KW - word embedding KW - Doc2vec KW - paraphrase identification KW - encodings KW - R-GCNs KW - contextual features KW - sentence retrieval KW - TF−ISF KW - BM25 KW - partial match KW - sequence similarity KW - word to vector KW - word embeddings KW - antonymy detection KW - polarity KW - text normalization KW - natural language processing KW - deep neural networks KW - causal encoder KW - question classification KW - multilingual KW - convolutional neural networks KW - Natural Language Processing (NLP) KW - transfer learning KW - open information extraction KW - recurrent neural networks KW - bilingual translation KW - speech-to-text KW - LaTeX decompilation KW - word representation learning KW - word2vec KW - sememes KW - structural information KW - sentiment analysis KW - zero-shot learning KW - news analysis KW - cross-lingual classification KW - multilingual transformers KW - knowledge base KW - commonsense KW - sememe prediction KW - attention model KW - ontologies KW - fixing ontologies KW - quick fix KW - quality metrics KW - online social networks KW - rumor detection KW - Cantonese KW - XGA model KW - delayed combination KW - CNN dictionary KW - named entity recognition KW - deep learning NER KW - bidirectional LSTM CRF KW - CoNLL KW - OntoNotes KW - toxic comments KW - neural networks KW - tourism big data KW - text mining KW - NLP KW - deep learning KW - clinical named entity recognition KW - information extraction KW - multitask model KW - long short-term memory KW - conditional random field KW - relation extraction KW - entity recognition KW - long short-term memory network KW - multi-turn chatbot KW - dialogue context encoding KW - WGAN-based response generation KW - BERT word embedding KW - text summary KW - reinforce learning KW - FAQ classification KW - encoder-decoder neural network KW - multi-level word embeddings KW - BERT KW - bidirectional RNN KW - cloze test KW - Korean dataset KW - machine comprehension KW - neural language model KW - sentence completion KW - primary healthcare KW - chief complaint KW - virtual medical assistant KW - spoken natural language KW - disease diagnosis KW - medical specialist KW - protein-protein interactions KW - deep learning (DL) KW - convolutional neural networks (CNN) KW - bidirectional long short-term memory (bidirectional LSTM) KW - dialogue management KW - user simulation KW - reward shaping KW - conversation knowledge KW - multi-agent reinforcement learning KW - language modeling KW - classification KW - error probability KW - error assessment KW - logic error KW - neural network KW - LSTM KW - attention mechanism KW - programming education KW - neural architecture search KW - word ordering KW - Korean syntax KW - adversarial attack KW - adversarial example KW - sentiment classification KW - dual pointer network KW - context-to-entity attention KW - text classification KW - rule-based KW - word embedding KW - Doc2vec KW - paraphrase identification KW - encodings KW - R-GCNs KW - contextual features KW - sentence retrieval KW - TF−ISF KW - BM25 KW - partial match KW - sequence similarity KW - word to vector KW - word embeddings KW - antonymy detection KW - polarity KW - text normalization KW - natural language processing KW - deep neural networks KW - causal encoder KW - question classification KW - multilingual KW - convolutional neural networks KW - Natural Language Processing (NLP) KW - transfer learning KW - open information extraction KW - recurrent neural networks KW - bilingual translation KW - speech-to-text KW - LaTeX decompilation KW - word representation learning KW - word2vec KW - sememes KW - structural information KW - sentiment analysis KW - zero-shot learning KW - news analysis KW - cross-lingual classification KW - multilingual transformers KW - knowledge base KW - commonsense KW - sememe prediction KW - attention model KW - ontologies KW - fixing ontologies KW - quick fix KW - quality metrics KW - online social networks KW - rumor detection KW - Cantonese KW - XGA model KW - delayed combination KW - CNN dictionary KW - named entity recognition KW - deep learning NER KW - bidirectional LSTM CRF KW - CoNLL KW - OntoNotes KW - toxic comments KW - neural networks UR - https://www.unicat.be/uniCat?func=search&query=sysid:145648403 AB - This Special Issue highlights the most recent research being carried out in the NLP field to discuss relative open issues, with a particular focus on both emerging approaches for language learning, understanding, production, and grounding interactively or autonomously from data in cognitive and neural systems, as well as on their potential or real applications in different domains. ER -