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1
Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media
Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media

ISBN: 3031231899 ;ISBN: 9783031231902 ;ISBN: 9783031231896 ;ISBN: 3031231902 ;ISBN: 9783030000 ;ISBN: 9789783030008 ;EISBN: 9783031231902 ;EISBN: 3031231902 ;DOI: 10.1007/978-3-031-23190-2 ;OCLC: 1380847755 ;LCCallNum: HD58.7 .P33 2023

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2
The NLP Cookbook: Modern Recipes for Transformer Based Deep Learning Architectures
The NLP Cookbook: Modern Recipes for Transformer Based Deep Learning Architectures
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The NLP Cookbook: Modern Recipes for Transformer Based Deep Learning Architectures

IEEE access, 2021, Vol.9, p.68675-68702 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3077350 ;CODEN: IAECCG

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3
Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network
Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network
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Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network

PeerJ. Computer science, 2022-04, Vol.8, p.e908-e908, Article e908 [Peer Reviewed Journal]

2022 Zheng and Yin. ;COPYRIGHT 2022 PeerJ. Ltd. ;2022 Zheng and Yin. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Zheng and Yin 2022 Zheng and Yin ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.908 ;PMID: 35494798

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4
Revealing Media Bias in News Articles: NLP Techniques for Automated Frame Analysis
Revealing Media Bias in News Articles: NLP Techniques for Automated Frame Analysis
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Revealing Media Bias in News Articles: NLP Techniques for Automated Frame Analysis

ISBN: 9783031176937 ;ISBN: 3031176936 ;ISBN: 9783031176920 ;ISBN: 3031176928 ;EISBN: 9783031176937 ;EISBN: 3031176936 ;DOI: 10.1007/978-3-031-17693-7 ;OCLC: 1371330002

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5
Representation Learning for Natural Language Processing
Representation Learning for Natural Language Processing
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Representation Learning for Natural Language Processing

ISBN: 9811555729 ;ISBN: 9789811555725 ;EISBN: 9789811555732 ;EISBN: 9811555737 ;DOI: 10.1007/978-981-15-5573-2 ;OCLC: 1176494182

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6
A Survey of the Usages of Deep Learning for Natural Language Processing
A Survey of the Usages of Deep Learning for Natural Language Processing
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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

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7
Representation Learning for Natural Language Processing
Representation Learning for Natural Language Processing
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Representation Learning for Natural Language Processing

ISBN: 9789819916009 ;ISBN: 9819916003 ;ISBN: 9819915996 ;ISBN: 9789819915996 ;EISBN: 9789819916009 ;EISBN: 9819916003 ;DOI: 10.1007/978-981-99-1600-9 ;OCLC: 1395909338

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8
Sentiment analysis using deep learning architectures: a review
Sentiment analysis using deep learning architectures: a review
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Sentiment analysis using deep learning architectures: a review

The Artificial intelligence review, 2020-08, Vol.53 (6), p.4335-4385 [Peer Reviewed Journal]

Springer Nature B.V. 2019 ;COPYRIGHT 2020 Springer ;Springer Nature B.V. 2019. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-019-09794-5

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9
PCT: Point cloud transformer
PCT: Point cloud transformer
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PCT: Point cloud transformer

Computational visual media (Beijing), 2021-06, Vol.7 (2), p.187-199 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published 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. ;ISSN: 2096-0433 ;EISSN: 2096-0662 ;DOI: 10.1007/s41095-021-0229-5

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10
A call for deep-learning healthcare
A call for deep-learning healthcare
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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

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11
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Journal of big data, 2021-03, Vol.8 (1), p.53-53, Article 53 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. ;The Author(s) 2021. This work is published 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. ;ISSN: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-021-00444-8 ;PMID: 33816053

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12
A comprehensive survey on model compression and acceleration
A comprehensive survey on model compression and acceleration
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A comprehensive survey on model compression and acceleration

The Artificial intelligence review, 2020-10, Vol.53 (7), p.5113-5155 [Peer Reviewed Journal]

Springer Nature B.V. 2020 ;COPYRIGHT 2020 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09816-7

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13
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
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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

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14
Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria
Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria
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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

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15
Forecasting stock prices with long-short term memory neural network based on attention mechanism
Forecasting stock prices with long-short term memory neural network based on attention mechanism
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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

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16
Natural language inference for Malayalam language using language agnostic sentence representation
Natural language inference for Malayalam language using language agnostic sentence representation
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Natural language inference for Malayalam language using language agnostic sentence representation

PeerJ. Computer science, 2021-05, Vol.7, p.e508-e508, Article e508 [Peer Reviewed Journal]

2021 Renjit and Idicula. ;COPYRIGHT 2021 PeerJ. Ltd. ;2021 Renjit and Idicula. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Renjit and Idicula 2021 Renjit and Idicula ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/PEERJ-CS.508 ;PMID: 34013034

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17
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding
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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 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

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18
Recent advances in deep learning based dialogue systems: a systematic survey
Recent advances in deep learning based dialogue systems: a systematic survey
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Recent advances in deep learning based dialogue systems: a systematic survey

The Artificial intelligence review, 2023-04, Vol.56 (4), p.3055-3155 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature B.V. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;COPYRIGHT 2023 Springer ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-022-10248-8

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19
Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models
Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models
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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

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20
Large-scale transportation network congestion evolution prediction using deep learning theory
Large-scale transportation network congestion evolution prediction using deep learning theory
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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

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