skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Results 1 - 20 of 7,732  for All Library Resources

Results 1 2 3 4 5 next page
Refined by: Database: MEDLINE remove subject: Natural Language Processing remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
A Survey of the Usages of Deep Learning for Natural Language Processing
Material Type:
Article
Add to My Research

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

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

EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.2979670 ;PMID: 32324570

Digital Resources/Online E-Resources

2
Can artificial intelligence help for scientific writing?
Material Type:
Article
Add to My Research

Can artificial intelligence help for scientific writing?

Critical care (London, England), 2023-02, Vol.27 (1), p.75-75, Article 75 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2023 ;ISSN: 1364-8535 ;EISSN: 1466-609X ;DOI: 10.1186/s13054-023-04380-2 ;PMID: 36841840

Full text available

3
Advancing automatic text summarization: Unleashing enhanced binary multi-objective grey wolf optimization with mutation
Material Type:
Article
Add to My Research

Advancing automatic text summarization: Unleashing enhanced binary multi-objective grey wolf optimization with mutation

PloS one, 2024-05, Vol.19 (5), p.e0304057-e0304057 [Peer Reviewed Journal]

Copyright: © 2024 Sheikh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2024 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0304057 ;PMID: 38787837

Full text available

4
Machine learning, natural language programming, and electronic health records: The next step in the artificial intelligence journey?
Material Type:
Article
Add to My Research

Machine learning, natural language programming, and electronic health records: The next step in the artificial intelligence journey?

Journal of allergy and clinical immunology, 2018-06, Vol.141 (6), p.2019 [Peer Reviewed Journal]

EISSN: 1097-6825 ;DOI: 10.1016/j.jaci.2018.02.025 ;PMID: 29518424

Digital Resources/Online E-Resources

5
Sentiment of Emojis
Material Type:
Article
Add to My Research

Sentiment of Emojis

PloS one, 2015-12, Vol.10 (12), p.e0144296-e0144296 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Kralj Novak et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Kralj Novak et al 2015 Kralj Novak et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0144296 ;PMID: 26641093

Full text available

6
A comparative study of pretrained language models for long clinical text
Material Type:
Article
Add to My Research

A comparative study of pretrained language models for long clinical text

Journal of the American Medical Informatics Association : JAMIA, 2023-01, Vol.30 (2), p.340-347 [Peer Reviewed Journal]

The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2022 ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocac225 ;PMID: 36451266

Full text available

7
A call for deep-learning healthcare
Material Type:
Article
Add to My Research

A call for deep-learning healthcare

Nature medicine, 2019-01, Vol.25 (1), p.14-15 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Jan 2019 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-018-0320-3 ;PMID: 30617337

Full text available

8
Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria
Material Type:
Article
Add to My Research

Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria

The New England journal of medicine, 2021-07, Vol.385 (3), p.217-227 [Peer Reviewed Journal]

Copyright © 2021 Massachusetts Medical Society. All rights reserved. ;Copyright © 2021 Massachusetts Medical Society. ;COPYRIGHT 2021 Massachusetts Medical Society ;ISSN: 0028-4793 ;EISSN: 1533-4406 ;DOI: 10.1056/NEJMoa2027540 ;PMID: 34260835

Full text available

9
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
Material Type:
Article
Add to My Research

SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

PloS one, 2019-05, Vol.14 (5), p.e0216456-e0216456 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Mousavi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Mousavi et al 2019 Mousavi et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0216456 ;PMID: 31063501

Full text available

10
Scientists used ChatGPT to generate an entire paper from scratch - but is it any good?
Material Type:
Article
Add to My Research

Scientists used ChatGPT to generate an entire paper from scratch - but is it any good?

Nature (London), 2023-07, Vol.619 (7970), p.443-444 [Peer Reviewed Journal]

ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/d41586-023-02218-z ;PMID: 37419951

Digital Resources/Online E-Resources

11
Ethical implications of conversational agents in global public health
Material Type:
Article
Add to My Research

Ethical implications of conversational agents in global public health

Bulletin of the World Health Organization, 2020-04, Vol.98 (4), p.285-287 [Peer Reviewed Journal]

COPYRIGHT 2020 World Health Organization ;COPYRIGHT 2020 World Health Organization ;Copyright World Health Organization Apr 2020 ;(c) 2020 The authors; licensee World Health Organization. 2020 ;ISSN: 0042-9686 ;EISSN: 1564-0604 ;DOI: 10.2471/BLT.19.237636 ;PMID: 32284654

Full text available

12
Significance of natural language processing and chat-based generative language models
Material Type:
Article
Add to My Research

Significance of natural language processing and chat-based generative language models

Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2024-04, Vol.119 (3), p.181

2023. The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature. ;EISSN: 2193-6226 ;DOI: 10.1007/s00063-023-01098-5 ;PMID: 38108880

Digital Resources/Online E-Resources

13
Forecasting stock prices with long-short term memory neural network based on attention mechanism
Material Type:
Article
Add to My Research

Forecasting stock prices with long-short term memory neural network based on attention mechanism

PloS one, 2020-01, Vol.15 (1), p.e0227222-e0227222 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Qiu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Qiu et al 2020 Qiu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0227222 ;PMID: 31899770

Full text available

14
Predicting COVID-19 in China Using Hybrid AI Model
Material Type:
Article
Add to My Research

Predicting COVID-19 in China Using Hybrid AI Model

IEEE transactions on cybernetics, 2020-07, Vol.50 (7), p.2891 [Peer Reviewed Journal]

EISSN: 2168-2275 ;DOI: 10.1109/tcyb.2020.2990162 ;PMID: 32396126

Digital Resources/Online E-Resources

15
Drivers of the decrease of patent similarities from 1976 to 2021
Material Type:
Article
Add to My Research

Drivers of the decrease of patent similarities from 1976 to 2021

PloS one, 2023-03, Vol.18 (3), p.e0283247-e0283247 [Peer Reviewed Journal]

Copyright: © 2023 Filippi-Mazzola et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Filippi-Mazzola et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 Filippi-Mazzola et al 2023 Filippi-Mazzola et al ;2023 Filippi-Mazzola et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0283247 ;PMID: 36940211

Full text available

16
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding
Material Type:
Article
Add to My Research

Design considerations for a hierarchical semantic compositional framework for medical natural language understanding

PloS one, 2023-03, Vol.18 (3), p.e0282882-e0282882 [Peer Reviewed Journal]

Copyright: © 2023 Taira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Taira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 Taira et al 2023 Taira et al ;2023 Taira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0282882 ;PMID: 36928721

Full text available

17
Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models
Material Type:
Article
Add to My Research

Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models

Proceedings of the National Academy of Sciences - PNAS, 2020-10, Vol.117 (42), p.25966-25974 [Peer Reviewed Journal]

Copyright National Academy of Sciences Oct 20, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1910416117 ;PMID: 32989131

Full text available

18
"What is relevant in a text document?": An interpretable machine learning approach
Material Type:
Article
Add to My Research

"What is relevant in a text document?": An interpretable machine learning approach

PloS one, 2017-08, Vol.12 (8), p.e0181142-e0181142 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Arras et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Arras et al 2017 Arras et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0181142 ;PMID: 28800619

Full text available

19
Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification
Material Type:
Article
Add to My Research

Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification

IEEE transaction on neural networks and learning systems, 2022-03, Vol.33 (3), p.973

EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.3036192 ;PMID: 33417564

Digital Resources/Online E-Resources

20
Large-scale transportation network congestion evolution prediction using deep learning theory
Material Type:
Article
Add to My Research

Large-scale transportation network congestion evolution prediction using deep learning theory

PloS one, 2015-03, Vol.10 (3), p.e0119044-e0119044 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Ma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Ma et al 2015 Ma et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0119044 ;PMID: 25780910

Full text available

Results 1 - 20 of 7,732  for All Library Resources

Results 1 2 3 4 5 next page

Personalize your results

  1. Edit

Refine Search Results

Expand My Results

  1.   

Refine My Results

Creation Date 

From To
  1. Before 1990  (21)
  2. 1990 To 1997  (165)
  3. 1998 To 2005  (647)
  4. 2006 To 2014  (2,371)
  5. After 2014  (4,529)
  6. More options open sub menu

Language 

  1. English  (7,693)
  2. Japanese  (600)
  3. German  (48)
  4. Chinese  (10)
  5. French  (6)
  6. Norwegian  (6)
  7. Spanish  (5)
  8. Portuguese  (4)
  9. Dutch  (3)
  10. Polish  (1)
  11. Russian  (1)
  12. More options open sub menu

Searching Remote Databases, Please Wait