| Literature DB >> 32324570 |
Daniel W Otter, Julian R Medina, Jugal K Kalita.
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.Entities:
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Year: 2021 PMID: 32324570 DOI: 10.1109/TNNLS.2020.2979670
Source DB: PubMed Journal: IEEE Trans Neural Netw Learn Syst ISSN: 2162-237X Impact factor: 10.451