Literature DB >> 32324570

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

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.

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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


  29 in total

1.  Identification of Gout Flares in Chief Complaint Text Using Natural Language Processing.

Authors:  John D Osborne; James S Booth; Tobias O'Leary; Amy Mudano; Giovanna Rosas; Phillip J Foster; Kenneth G Saag; Maria I Danila
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

Review 2.  Machine Learning: Algorithms, Real-World Applications and Research Directions.

Authors:  Iqbal H Sarker
Journal:  SN Comput Sci       Date:  2021-03-22

3.  BoT-Net: a lightweight bag of tricks-based neural network for efficient LncRNA-miRNA interaction prediction.

Authors:  Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Christoph Zehe; Johan Trygg; Andreas Dengel; Sheraz Ahmed
Journal:  Interdiscip Sci       Date:  2022-08-10       Impact factor: 3.492

4.  Natural language processing: state of the art, current trends and challenges.

Authors:  Diksha Khurana; Aditya Koli; Kiran Khatter; Sukhdev Singh
Journal:  Multimed Tools Appl       Date:  2022-07-14       Impact factor: 2.577

5.  Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction.

Authors:  Jiayi Pan; Heye Zhang; Weifei Wu; Zhifan Gao; Weiwen Wu
Journal:  Patterns (N Y)       Date:  2022-04-22

6.  Deep Neural Networks Applied to Stock Market Sentiment Analysis.

Authors:  Filipe Correia; Ana Maria Madureira; Jorge Bernardino
Journal:  Sensors (Basel)       Date:  2022-06-10       Impact factor: 3.847

Review 7.  Deep learning powers cancer diagnosis in digital pathology.

Authors:  Yunjie He; Hong Zhao; Stephen T C Wong
Journal:  Comput Med Imaging Graph       Date:  2020-12-11       Impact factor: 4.790

8.  Predictive Maintenance in Building Facilities: A Machine Learning-Based Approach.

Authors:  Yassine Bouabdallaoui; Zoubeir Lafhaj; Pascal Yim; Laure Ducoulombier; Belkacem Bennadji
Journal:  Sensors (Basel)       Date:  2021-02-03       Impact factor: 3.576

9.  Application of BERT to Enable Gene Classification Based on Clinical Evidence.

Authors:  Yuhan Su; Hongxin Xiang; Haotian Xie; Yong Yu; Shiyan Dong; Zhaogang Yang; Na Zhao
Journal:  Biomed Res Int       Date:  2020-10-07       Impact factor: 3.411

10.  An Attention Mechanism Oriented Hybrid CNN-RNN Deep Learning Architecture of Container Terminal Liner Handling Conditions Prediction.

Authors:  Bin Li; Yuqing He
Journal:  Comput Intell Neurosci       Date:  2021-07-08
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