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

July 27, 2018 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Survey of the Usages of Deep Learning in Natural Language Processing"

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Authors Daniel W. Otter, Julian R. Medina, Jugal K. Kalita arXiv ID 1807.10854 Category cs.CL: Computation & Language Citations 12 Venue arXiv.org Last Checked 3 days ago
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 survey 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 a number of 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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