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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 ;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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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
The NLP Cookbook: Modern Recipes for Transformer Based Deep Learning Architectures
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Article
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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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6
A comparative survey of recent natural language interfaces for databases
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Article
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A comparative survey of recent natural language interfaces for databases

The VLDB journal, 2019-10, Vol.28 (5), p.793-819

The Author(s) 2019 ;ISSN: 1066-8888 ;EISSN: 0949-877X ;DOI: 10.1007/s00778-019-00567-8

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7
Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network
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Article
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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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8
Natural language processing: state of the art, current trends and challenges
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Article
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Natural language processing: state of the art, current trends and challenges

Multimedia tools and applications, 2023-01, Vol.82 (3), p.3713-3744 [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.. corrected publication 2022 ;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.corrected publication 2022. ;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. corrected publication 2022. ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, corrected publication 2022Springer 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. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-13428-4 ;PMID: 35855771

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9
The Conversational Interface: Talking to Smart Devices
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Book
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The Conversational Interface: Talking to Smart Devices

Springer International Publishing Switzerland 2016 ;ISBN: 3319329650 ;ISBN: 9783319329659 ;EISBN: 3319329677 ;EISBN: 9783319329673 ;DOI: 10.1007/978-3-319-32967-3 ;OCLC: 951222124

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10
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 ;ISBN: 9783031176920 ;ISBN: 3031176928 ;EISBN: 9783031176937 ;EISBN: 3031176936 ;DOI: 10.1007/978-3-031-17693-7 ;OCLC: 1371330002

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11
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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12
The Development of Natural Language Processing: Research on the Development of Electronic Information Engineering Technology in China
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Book
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The Development of Natural Language Processing: Research on the Development of Electronic Information Engineering Technology in China

China Science Publishing & Media Ltd(Science Press) 2021. Jointly published with Science Press, Beijing, China ;ISBN: 9789811619854 ;ISBN: 9811619859 ;EISBN: 9789811619861 ;EISBN: 9811619867 ;DOI: 10.1007/978-981-16-1986-1 ;OCLC: 1256542564

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13
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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14
A Survey of the Usages of Deep Learning for Natural Language Processing
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Article
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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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15
Attention in Natural Language Processing
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Article
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Attention in Natural Language Processing

IEEE transaction on neural networks and learning systems, 2021-10, Vol.32 (10), p.4291-4308

ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.3019893 ;PMID: 32915750 ;CODEN: ITNNAL

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16
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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17
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 ;EISBN: 9789819916009 ;EISBN: 9819916003 ;DOI: 10.1007/978-981-99-1600-9 ;OCLC: 1395909338

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18
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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19
NLCI: a natural language command interpreter
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Article
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NLCI: a natural language command interpreter

Automated software engineering, 2017-12, Vol.24 (4), p.839-861 [Peer Reviewed Journal]

Springer Science+Business Media New York 2016 ;Springer Science+Business Media New York 2016. ;ISSN: 0928-8910 ;EISSN: 1573-7535 ;DOI: 10.1007/s10515-016-0202-1

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20
Probabilistic Topic Models: Foundation and Application
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Book
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Probabilistic Topic Models: Foundation and Application

The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023 ;ISBN: 9789819924301 ;ISBN: 9819924308 ;EISBN: 9819924316 ;EISBN: 9789819924318 ;DOI: 10.1007/978-981-99-2431-8 ;OCLC: 1381705540

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