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1
Learning to Prompt for Vision-Language Models
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Article
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Learning to Prompt for Vision-Language Models

International journal of computer vision, 2022-09, Vol.130 (9), p.2337-2348 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 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 2022 Springer ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-022-01653-1

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2
Machine translation for everyone: Empowering users in the age of artificial intelligence
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Machine translation for everyone: Empowering users in the age of artificial intelligence

ISBN: 9783985540457 ;ISBN: 3985540454 ;DOI: 10.5281/zenodo.6653406

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3
Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media
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Book
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media

ISBN: 3031231899 ;ISBN: 9783031231902 ;ISBN: 9783031231896 ;ISBN: 3031231902 ;DOI: 10.1007/978-3-031-23190-2

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4
VQA: Visual Question Answering: www.visualqa.org
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Article
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VQA: Visual Question Answering: www.visualqa.org

International journal of computer vision, 2017-05, Vol.123 (1), p.4-31 [Peer Reviewed Journal]

Springer Science+Business Media New York 2016 ;International Journal of Computer Vision is a copyright of Springer, 2017. ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-016-0966-6

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5
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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6
Revealing Media Bias in News Articles: NLP Techniques for Automated Frame Analysis
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Book
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Revealing Media Bias in News Articles: NLP Techniques for Automated Frame Analysis

ISBN: 9783031176937 ;ISBN: 3031176936 ;DOI: 10.1007/978-3-031-17693-7

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7
Representation Learning for Natural Language Processing
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Book
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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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8
Natural language based financial forecasting: a survey
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Article
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Natural language based financial forecasting: a survey

The Artificial intelligence review, 2018-06, Vol.50 (1), p.49-73 [Peer Reviewed Journal]

Springer Science+Business Media B.V. 2017 ;COPYRIGHT 2018 Springer ;Artificial Intelligence Review is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-017-9588-9

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9
A large language model for electronic health records
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Article
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A large language model for electronic health records

NPJ digital medicine, 2022-12, Vol.5 (1), p.194-194, Article 194 [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. ;The Author(s) 2022 ;ISSN: 2398-6352 ;EISSN: 2398-6352 ;DOI: 10.1038/s41746-022-00742-2 ;PMID: 36572766

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10
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
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Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

Transactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.264-280 [Peer Reviewed Journal]

2020. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2307-387X ;EISSN: 2307-387X ;DOI: 10.1162/tacl_a_00313

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11
Plagiarism in the age of massive Generative Pre-trained Transformers (GPT-3)
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Article
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Plagiarism in the age of massive Generative Pre-trained Transformers (GPT-3)

Ethics in science and environmental politics ESEP, 2021, Vol.21, p.17-23 [Peer Reviewed Journal]

Copyright Inter-Research Science Center 2021 ;ISSN: 1863-5415 ;EISSN: 1611-8014 ;DOI: 10.3354/esep00195

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12
Hands-On Python Natural Language Processing: Explore Tools and Techniques to Analyze and Process Text with a View to Building Real-World NLP Applications
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Book
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Hands-On Python Natural Language Processing: Explore Tools and Techniques to Analyze and Process Text with a View to Building Real-World NLP Applications

ISBN: 1838989595 ;ISBN: 9781838989590 ;EISBN: 1838982582 ;EISBN: 9781838982584 ;OCLC: 1163543238

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13
Can artificial intelligence help for scientific writing?
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Article
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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

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14
Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge
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Article
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Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge

IEEE transactions on pattern analysis and machine intelligence, 2017-04, Vol.39 (4), p.652-663 [Peer Reviewed Journal]

ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2016.2587640 ;PMID: 28055847 ;CODEN: ITPIDJ

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15
Representation Learning for Natural Language Processing
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Book
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Representation Learning for Natural Language Processing

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

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16
Transformer models for text-based emotion detection: a review of BERT-based approaches
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Article
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Transformer models for text-based emotion detection: a review of BERT-based approaches

The Artificial intelligence review, 2021-12, Vol.54 (8), p.5789-5829 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021 ;COPYRIGHT 2021 Springer ;The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-021-09958-2

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17
Augmented Analytics Driven by AI: A Digital Transformation beyond Business Intelligence
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Article
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Augmented Analytics Driven by AI: A Digital Transformation beyond Business Intelligence

Sensors (Basel, Switzerland), 2022-10, Vol.22 (20), p.8071 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22208071

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18
Sentence Representation Method Based on Multi-Layer Semantic Network
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Article
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Sentence Representation Method Based on Multi-Layer Semantic Network

Applied sciences, 2021-02, Vol.11 (3), p.1316 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 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 (http://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/app11031316

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19
Sentiment analysis using deep learning architectures: a review
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Article
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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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20
An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing
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Article
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An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing

Journal of the Academy of Marketing Science, 2022-11, Vol.50 (6), p.1324-1350 [Peer Reviewed Journal]

Academy of Marketing Science 2022 ;COPYRIGHT 2022 Springer ;Academy of Marketing Science 2022. ;ISSN: 0092-0703 ;EISSN: 1552-7824 ;DOI: 10.1007/s11747-022-00840-3

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