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.
@article{arxiv.1807.10854,
title = {A Survey of the Usages of Deep Learning in Natural Language Processing},
author = {Daniel W. Otter and Julian R. Medina and Jugal K. Kalita},
journal= {arXiv preprint arXiv:1807.10854},
year = {2019}
}