Natural Language Processing: Emerging Neural Approaches and Applications

• Övriga skapare: Esposito, Massimo (Utgivare, redaktör, sammanställare), Masala, Giovanni Luca (Utgivare, redaktör, sammanställare), Minutolo, Aniello (Utgivare, redaktör, sammanställare), Pota, Marco (Utgivare, redaktör, sammanställare)
• Materialtyp: Elektronisk Bokavsnitt
• Språk: engelska
• Publicerad: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Ämnen: Information technology industries; Computer science; tourism big data; text mining; NLP; deep learning; clinical named entity recognition; information extraction; multitask model; long short-term memory; conditional random field; relation extraction; entity recognition; long short-term memory network; multi-turn chatbot; dialogue context encoding; WGAN-based response generation; BERT word embedding; text summary; reinforce learning; FAQ classification; encoder-decoder neural network; multi-level word embeddings; BERT; bidirectional RNN; cloze test; Korean dataset; machine comprehension; neural language model; sentence completion; primary healthcare; chief complaint; virtual medical assistant; spoken natural language; disease diagnosis; medical specialist; protein-protein interactions; deep learning (DL); convolutional neural networks (CNN); bidirectional long short-term memory (bidirectional LSTM); dialogue management; user simulation; reward shaping; conversation knowledge; multi-agent reinforcement learning; language modeling; classification; error probability; error assessment; logic error; neural network; LSTM; attention mechanism; programming education; neural architecture search; word ordering; Korean syntax; adversarial attack; adversarial example; sentiment classification; dual pointer network; context-to-entity attention; text classification; rule-based; word embedding; Doc2vec; paraphrase identification; encodings; R-GCNs; contextual features; sentence retrieval; TF−ISF; BM25; partial match; sequence similarity; word to vector; word embeddings; antonymy detection; polarity; text normalization; natural language processing; deep neural networks; causal encoder; question classification; multilingual; convolutional neural networks; Natural Language Processing (NLP); transfer learning; open information extraction; recurrent neural networks; bilingual translation; speech-to-text; LaTeX decompilation; word representation learning; word2vec; sememes; structural information; sentiment analysis; zero-shot learning; news analysis; cross-lingual classification; multilingual transformers; knowledge base; commonsense; sememe prediction; attention model; ontologies; fixing ontologies; quick fix; quality metrics; online social networks; rumor detection; Cantonese; XGA model; delayed combination; CNN dictionary; named entity recognition; deep learning NER; bidirectional LSTM CRF; CoNLL; OntoNotes; toxic comments; neural networks; n/a
• Länkar: DOAB: download the publication; DOAB: description of the publication

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 neur...