A Survey of the Usages of Deep Learning for Natural Language Processing

Over the last several years, the field of natural language processing has been propelled forward by an explosion in the use of deep learning models. This article provides a brief introduction to the field and a quick overview of deep learning architectures and methods. It then sifts through the plet...

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Vydáno v:IEEE transaction on neural networks and learning systems Ročník 32; číslo 2; s. 604 - 624
Hlavní autoři: Otter, Daniel W., Medina, Julian R., Kalita, Jugal K.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.02.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Computational linguistics
Computer applications
Computer architecture
Computer Systems
Decoding
Deep Learning
Humans
Language
Linguistics
Machine learning
Microprocessors
Natural Language Processing
natural language processing (NLP)
Neural networks
Neural Networks, Computer
Surveys and Questionnaires
Training
ISSN:2162-237X, 2162-2388, 2162-2388
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Shrnutí:Over the last several years, the field of natural language processing has been propelled forward by an explosion in the use of deep learning models. This article provides a brief introduction to the field and a quick overview of deep learning architectures and methods. It then sifts through the plethora of recent studies and summarizes a large assortment of relevant contributions. Analyzed research areas include several core linguistic processing issues in addition to many applications of computational linguistics. A discussion of the current state of the art is then provided along with recommendations for future research in the field.
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ISSN:2162-237X
2162-2388
2162-2388
DOI:10.1109/TNNLS.2020.2979670