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

A Survey of the Usages of Deep Learning for Natural Language Processing
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深度学习在自然语言处理中的应用调查

DOI:
10.1109/tnnls.2020.2979670
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发表时间:
2021-02-01
影响因子:
10.4
通讯作者:
Kalita, Jugal K.
Kalita, Jugal K.
中科院分区:
计算机科学1区
文献类型:
--
作者:
Otter, Daniel W.;Medina, Julian R.;Kalita, Jugal K.

文献摘要

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在过去的几年里,深度学习模型的使用激增推动了自然语言处理领域的发展。本文简要介绍了该领域,并对深度学习体系结构和方法进行了快速概述。然后,它筛选了过多的最近研究,并总结了大量相关的贡献。分析的研究领域包括几个核心的语言处理问题,以及计算语言学的许多应用。然后提供了对当前技术状态的讨论以及对该领域未来研究的建议。
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.