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

IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.604

EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.2979670 ;PMID: 32324570

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  • Title:
    A Survey of the Usages of Deep Learning for Natural Language Processing
  • Author: Otter, Daniel W ; Medina, Julian R ; Kalita, Jugal K
  • Subjects: Computer Systems ; Deep Learning ; Humans ; Linguistics ; Natural Language Processing ; Neural Networks, Computer ; Surveys and Questionnaires
  • Is Part Of: IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.604
  • Description: 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.
  • Publisher: United States
  • Language: English
  • Identifier: EISSN: 2162-2388
    DOI: 10.1109/TNNLS.2020.2979670
    PMID: 32324570
  • Source: MEDLINE
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