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

2018/07/27 by Daniel W. Otter, Otter, Daniel W., Julian R. Medina +3 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.CL

paper · pdf · doi:10.48550/arxiv.1807.10854

arxiv created 2019/12/21 · arxiv updated 2019/12/24

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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