A Survey of the Usages of Deep Learning for Natural Language Processing
Daniel W. Otter, Julian Richard Medina, Jugal Kumar Kalita
University of Colorado Colorado Springs
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摘要与影响
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.
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计算机 / AITopic Modeling
Natural Language Processing Techniques · Advanced Text Analysis Techniques
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