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1
Attention in Natural Language Processing
Attention in Natural Language Processing
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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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2
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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3
Resources and benchmark corpora for hate speech detection: a systematic review
Resources and benchmark corpora for hate speech detection: a systematic review
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Resources and benchmark corpora for hate speech detection: a systematic review

Language resources and evaluation, 2021-06, Vol.55 (2), p.477-523 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. 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: 1574-020X ;EISSN: 1574-0218 ;DOI: 10.1007/s10579-020-09502-8

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4
A Survey of Cross-lingual Word Embedding Models
A Survey of Cross-lingual Word Embedding Models
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A Survey of Cross-lingual Word Embedding Models

The Journal of artificial intelligence research, 2019-01, Vol.65, p.569-631 [Peer Reviewed Journal]

2019. 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.1.11640

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5
OWL2Vec: embedding of OWL ontologies
OWL2Vec: embedding of OWL ontologies
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OWL2Vec: embedding of OWL ontologies

Machine learning, 2021-07, Vol.110 (7), p.1813-1845 [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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05997-6

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6
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 ;DOI: 10.1007/978-3-031-23190-2

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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 ;DOI: 10.1007/978-981-99-1600-9

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8
Clinical Text Mining : Secondary Use of Electronic Patient Records
Clinical Text Mining : Secondary Use of Electronic Patient Records
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Clinical Text Mining : Secondary Use of Electronic Patient Records

https://creativecommons.org/licenses/by/4.0/legalcode ;ISBN: 3319517732 ;ISBN: 9783319517735 ;ISBN: 3319785028 ;ISBN: 9783319785028 ;ISBN: 9783319785035 ;ISBN: 3319785036 ;EISBN: 9783319785035 ;EISBN: 3319785036 ;DOI: 10.1007/978-3-319-78503-5 ;OCLC: OCN: 1036767985 ;OCLC: 1036767985 ;OCLC: 1078960705

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9
Neural Machine Translation: A Review
Neural Machine Translation: A Review
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Neural Machine Translation: A Review

The Journal of artificial intelligence research, 2020-01, Vol.69, p.343-418 [Peer Reviewed Journal]

2020. 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.1.12007

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10
Coordination Models and Languages: 23rd IFIP WG 6.1 International Conference, COORDINATION 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Valletta, Malta, June 14–18, 2021, Proceedings
Coordination Models and Languages: 23rd IFIP WG 6.1 International Conference, COORDINATION 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Valletta, Malta, June 14–18, 2021, Proceedings
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Coordination Models and Languages: 23rd IFIP WG 6.1 International Conference, COORDINATION 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Valletta, Malta, June 14–18, 2021, Proceedings

Attribution ;ISBN: 3030781410 ;ISBN: 9783030781415 ;DOI: 10.1007/978-3-030-78142-2

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11
A Primer on Neural Network Models for Natural Language Processing
A Primer on Neural Network Models for Natural Language Processing
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A Primer on Neural Network Models for Natural Language Processing

The Journal of artificial intelligence research, , Vol.57, p.345-420 [Peer Reviewed Journal]

2016. 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.4992

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12
Automated methods for the summarization of electronic health records
Automated methods for the summarization of electronic health records
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Automated methods for the summarization of electronic health records

Journal of the American Medical Informatics Association : JAMIA, 2015-09, Vol.22 (5), p.938-947 [Peer Reviewed Journal]

The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. 2015 ;The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocv032 ;PMID: 25882031

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13
Automated identification of media bias in news articles: an interdisciplinary literature review
Automated identification of media bias in news articles: an interdisciplinary literature review
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Automated identification of media bias in news articles: an interdisciplinary literature review

International journal on digital libraries, 2019-12, Vol.20 (4), p.391-415 [Peer Reviewed Journal]

The Author(s) 2018 ;International Journal on Digital Libraries is a copyright of Springer, (2018). All Rights Reserved. © 2018. 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: 1432-5012 ;EISSN: 1432-1300 ;DOI: 10.1007/s00799-018-0261-y

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14
Sentiment analysis using product review data
Sentiment analysis using product review data
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Sentiment analysis using product review data

Journal of big data, 2015-06, Vol.2 (1), Article 5 [Peer Reviewed Journal]

Fang and Zhan; licensee Springer. 2015. 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 work is properly cited. ;Journal of Big Data is a copyright of Springer, (2015). All Rights Reserved. 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/s40537-015-0015-2

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15
Neural information retrieval: at the end of the early years
Neural information retrieval: at the end of the early years
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Neural information retrieval: at the end of the early years

Information retrieval (Boston), 2018-06, Vol.21 (2-3), p.111-182 [Peer Reviewed Journal]

The Author(s) 2017 ;Information Retrieval Journal is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1386-4564 ;EISSN: 1573-7659 ;DOI: 10.1007/s10791-017-9321-y

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16
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
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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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17
Natural language processing for requirements engineering: The best is yet to come
Natural language processing for requirements engineering: The best is yet to come
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Natural language processing for requirements engineering: The best is yet to come

info:eu-repo/semantics/openAccess ;ISSN: 0740-7459 ;EISSN: 1937-4194 ;DOI: 10.1109/MS.2018.3571242

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18
A comprehensive study of named entity recognition in Chinese clinical text
A comprehensive study of named entity recognition in Chinese clinical text
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Article 		Add to My Research

A comprehensive study of named entity recognition in Chinese clinical text

Journal of the American Medical Informatics Association : JAMIA, 2014-09, Vol.21 (5), p.808-814 [Peer Reviewed Journal]

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. ;Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions 2014 ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1136/amiajnl-2013-002381 ;PMID: 24347408

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19
Regularisation of neural networks by enforcing Lipschitz continuity
Regularisation of neural networks by enforcing Lipschitz continuity
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Regularisation of neural networks by enforcing Lipschitz continuity

Machine learning, 2021-02, Vol.110 (2), p.393-416 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. 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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-020-05929-w

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20
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources
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Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources

Journal of the American Medical Informatics Association : JAMIA, 2015-09, Vol.22 (5), p.993-1000 [Peer Reviewed Journal]

The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2015 ;The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocv034 ;PMID: 25929596

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