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A Survey of the Usages of Deep Learning for Natural Language Processing - 2020

Research Area:  Machine Learning

Abstract:

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

Author(s) Name:  Daniel W. Otter; Julian R. Medina; Jugal K. Kalita

Journal name:   IEEE Transactions on Neural Networks and Learning Systems

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/TNNLS.2020.2979670

Volume Information:  Volume: 32, Issue: 2, Page(s): 604 - 624, Feb. 2021