CLJul 27, 2018

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

arXiv:1807.10854v315 citations
Originality Synthesis-oriented
AI Analysis

It provides an overview for researchers and practitioners in NLP, but is incremental as it compiles existing studies without new findings.

This survey summarizes the use of deep learning in natural language processing, covering architectures, methods, and applications, and discusses the current state of the art with future research recommendations.

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.

Foundations

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