Idioma:

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

Otter, Daniel W. ; Medina, Julian R. ; Kalita, Jugal K.

IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.604-624

Texto completo disponível

Citações Citado por

Título:
A Survey of the Usages of Deep Learning for Natural Language Processing
Autor: Otter, Daniel W. ; Medina, Julian R. ; Kalita, Jugal K.
Assuntos: Computational linguistics ; Computer architecture ; Computer Systems ; Decoding ; Deep Learning ; Humans ; Linguistics ; Machine learning ; Natural Language Processing ; natural language processing (NLP) ; Neural networks ; Neural Networks, Computer ; Surveys and Questionnaires ; Training
É parte de: IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.604-624
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-2
Descrição: 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.
Editor: United States: IEEE
Idioma: Inglês

Links

Voltar para lista de resultados