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A Survey of the Usages of Deep Learning for Natural Language Processing
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Abstract
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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Publication details
- DOI
- 10.1109/tnnls.2020.2979670
- OpenAlex
- W2884159461
- Document type
- article
- Language
- EN
- Source
- IEEE Transactions on Neural Networks and Learning Systems
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