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1 |
Material Type: Article
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A Survey of the Usages of Deep Learning for Natural Language ProcessingIEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.604EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.2979670 ;PMID: 32324570Digital Resources/Online E-Resources |
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Material Type: Article
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Brains and algorithms partially converge in natural language processingCommunications biology, 2022-02, Vol.5 (1), p.134-134, Article 134 [Peer Reviewed Journal]2022. The Author(s). ;The Author(s) 2022. 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. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2022 ;ISSN: 2399-3642 ;EISSN: 2399-3642 ;DOI: 10.1038/s42003-022-03036-1 ;PMID: 35173264Full text available |
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Material Type: Book
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Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision: Techniques and Use Cases2023 L. Ashok Kumar and D. Karthika Renuka ;ISBN: 9781000875577 ;ISBN: 1000875571 ;ISBN: 9781032391656 ;ISBN: 1032391669 ;ISBN: 1032391650 ;ISBN: 9781032391663 ;EISBN: 9781003348689 ;EISBN: 9781000875607 ;EISBN: 9781000875577 ;EISBN: 1003348688 ;EISBN: 1000875601 ;EISBN: 1000875571 ;DOI: 10.1201/9781003348689 ;OCLC: 1371752280Digital Resources/Online E-Resources |
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Material Type: Article
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Deep learning-enabled natural language processing to identify directional pharmacokinetic drug–drug interactionsBMC bioinformatics, 2023-11, Vol.24 (1), p.1-413, Article 413 [Peer Reviewed Journal]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. ;This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-023-05520-9Full text available |
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Material Type: Book
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Neural Network Methods for Natural Language ProcessingISBN: 9783031021657 ;ISBN: 3031021657 ;ISBN: 303101037X ;ISBN: 9783031010378 ;EISBN: 9783031021657 ;EISBN: 3031021657 ;OCLC: 985344206Digital Resources/Online E-Resources |
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Material Type: Book
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Natural Language Processing: Emerging Neural Approaches and ApplicationsISBN: 3036522719 ;ISBN: 9783036522715 ;ISBN: 3036522727 ;ISBN: 9783036522722 ;DOI: 10.3390/books978-3-0365-2272-2Full text available |
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7 |
Material Type: Article
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Deep-learning natural language processing for oncological applicationsThe lancet oncology, 2020-12, Vol.21 (12), p.1553-1556 [Peer Reviewed Journal]2020 Elsevier Ltd ;2020. Elsevier Ltd ;ISSN: 1470-2045 ;EISSN: 1474-5488 ;DOI: 10.1016/S1470-2045(20)30615-X ;PMID: 33271088Full text available |
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8 |
Material Type: Article
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Fight Against the Mandatory COVID-19 Immunity Passport on Twitter: Natural Language Processing StudyJournal of medical Internet research, 2023-11, Vol.25 (2), p.e49435-e49435 [Peer Reviewed Journal]Jessica S M Gable, Romy Sauvayre, Cédric Chauvière. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 23.11.2023. ;COPYRIGHT 2023 Journal of Medical Internet Research ;2023. This work is licensed under https://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. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/49435 ;PMID: 37850906Full text available |
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9 |
Material Type: Article
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Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reportsPloS one, 2020-06, Vol.15 (6), p.e0234908-e0234908 [Peer Reviewed Journal]COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). 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.0234908 ;PMID: 32559211Full text available |
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10 |
Material Type: Article
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Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and LearningThe Journal of artificial intelligence research, 2022-01, Vol.73, p.1131-1207 [Peer Reviewed Journal]2022. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.1.12918Full text available |
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11 |
Material Type: Article
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Detecting coreferent entities in natural language requirementsRequirements engineering, 2022-09, Vol.27 (3), p.351-373 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022. ;ISSN: 0947-3602 ;EISSN: 1432-010X ;DOI: 10.1007/s00766-022-00374-8Full text available |
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12 |
Material Type: Article
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Natural Language Generation Using Sequential Models: A SurveyNeural processing letters, 2023-12, Vol.55 (6), p.7709-7742 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) 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. ;ISSN: 1370-4621 ;EISSN: 1573-773X ;DOI: 10.1007/s11063-023-11281-6Digital Resources/Online E-Resources |
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13 |
Material Type: Article
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Improved neural machine translation using Natural Language Processing (NLP)Multimedia tools and applications, 2024-04, Vol.83 (13), p.39335-39348 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) 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. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-023-17207-7Digital Resources/Online E-Resources |
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14 |
Material Type: Article
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Natural Language Processing: Recent Development and ApplicationsApplied sciences, 2023-10, Vol.13 (20), p.11395 [Peer Reviewed Journal]COPYRIGHT 2023 MDPI AG ;2023 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app132011395Full text available |
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15 |
Material Type: Article
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Quantum Natural Language Processing: Challenges and OpportunitiesApplied sciences, 2022-06, Vol.12 (11), p.5651 [Peer Reviewed Journal]2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app12115651Full text available |
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16 |
Material Type: Article
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Natural language processing for cognitive therapy: Extracting schemas from thought recordsPloS one, 2021-10, Vol.16 (10), p.e0257832-e0257832 [Peer Reviewed Journal]COPYRIGHT 2021 Public Library of Science ;2021 Burger 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. ;2021 Burger et al 2021 Burger et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0257832 ;PMID: 34662350Full text available |
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17 |
Material Type: Article
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Natural language processing: using artificial intelligence to understand human language in orthopedicsKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023-04, Vol.31 (4), p.1203-1211 [Peer Reviewed Journal]The Author(s) under exclusive licence to European Society of Sports Traumatology, Knee Surgery, Arthroscopy (ESSKA) 2022. Springer Nature or its licensor (e.g. a society or other partner) 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. ;2022. The Author(s) under exclusive licence to European Society of Sports Traumatology, Knee Surgery, Arthroscopy (ESSKA). ;ISSN: 0942-2056 ;ISSN: 1433-7347 ;EISSN: 1433-7347 ;DOI: 10.1007/s00167-022-07272-0 ;PMID: 36477347Full text available |
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18 |
Material Type: Article
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Predicting stock market using natural language processingAmerican journal of business, 2023-05, Vol.38 (2), p.41-61 [Peer Reviewed Journal]Karlo Puh and Marina Bagić Babac ;Emerald Publishing Limited. ;ISSN: 1935-5181 ;ISSN: 1935-519X ;EISSN: 1935-5181 ;DOI: 10.1108/AJB-08-2022-0124Full text available |
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19 |
Material Type: Book
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Deep Learning for Natural Language Processing: Solve Your Natural Language Processing Problems with Smart Deep Neural NetworksISBN: 9781838550295 ;ISBN: 1838550291 ;EISBN: 1838553673 ;EISBN: 9781838553678 ;OCLC: 1107580393Full text available |
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20 |
Material Type: Article
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Feature Extraction and Analysis of Natural Language Processing for Deep Learning English LanguageIEEE access, 2020, Vol.8, p.46335-46345 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2974101 ;CODEN: IAECCGFull text available |