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

机译:自然语言处理深度学习用法的调查

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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.
机译:在过去的几年里,通过深入学习模型的爆炸,自然语言处理领域已被推动。本文简要介绍了该领域,并快速概述了深度学习架构和方法。然后它通过最近的研究筛选,总结了大量的各种相关贡献。除了计算语言学的许多应用外,分析的研究领域还包括几个核心语言处理问题。然后提供了对现有技术的当前状态的讨论以及该领域未来研究的建议。

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