Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Material Type: Article
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Learning to Prompt for Vision-Language ModelsInternational 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/s11263-022-01653-1Full text available |
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Material Type: Book
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating MediaISBN: 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 2023Digital Resources/Online E-Resources |
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Material Type: Article
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Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching networkPeerJ. 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: 35494798Full text available |
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Material Type: Book
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The Conversational Interface: Talking to Smart DevicesSpringer International Publishing Switzerland 2016 ;ISBN: 3319329650 ;ISBN: 9783319329659 ;EISBN: 3319329677 ;EISBN: 9783319329673 ;DOI: 10.1007/978-3-319-32967-3 ;OCLC: 951222124Digital Resources/Online E-Resources |
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Material Type: Book
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Representation Learning for Natural Language ProcessingISBN: 9811555729 ;ISBN: 9789811555725 ;EISBN: 9789811555732 ;EISBN: 9811555737 ;DOI: 10.1007/978-981-15-5573-2 ;OCLC: 1176494182Full text available |
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6 |
Material Type: Article
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Natural language based financial forecasting: a surveyThe 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/s10462-017-9588-9Full text available |
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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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8 |
Material Type: 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: 36841840Full text available |
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Material Type: Book
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Representation Learning for Natural Language ProcessingISBN: 9789819916009 ;ISBN: 9819916003 ;ISBN: 9819915996 ;ISBN: 9789819915996 ;EISBN: 9789819916009 ;EISBN: 9819916003 ;DOI: 10.1007/978-981-99-1600-9 ;OCLC: 1395909338Digital Resources/Online E-Resources |
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10 |
Material Type: Article
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Transformer models for text-based emotion detection: a review of BERT-based approachesThe 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/s10462-021-09958-2Full text available |
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Material Type: Book
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Grammatical Inference for Computational LinguisticsISBN: 9783031021596 ;ISBN: 3031021592 ;ISBN: 9783031010316 ;ISBN: 3031010310 ;EISBN: 9783031021596 ;EISBN: 3031021592 ;OCLC: 929533392Digital Resources/Online E-Resources |
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12 |
Material Type: Article
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Augmented Analytics Driven by AI: A Digital Transformation beyond Business IntelligenceSensors (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/s22208071Full text available |
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13 |
Material Type: Book
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Probabilistic Topic Models: Foundation and ApplicationThe 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: 1381705540Digital Resources/Online E-Resources |
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14 |
Material Type: Article
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Sentiment of EmojisPloS one, 2015-12, Vol.10 (12), p.e0144296-e0144296 [Peer Reviewed Journal]COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Kralj Novak 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 Kralj Novak et al 2015 Kralj Novak et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0144296 ;PMID: 26641093Full text available |
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15 |
Material Type: Article
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Sentiment analysis using deep learning architectures: a reviewThe 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/s10462-019-09794-5Full text available |
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16 |
Material Type: Article
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A Standard Model of the Mind: Toward a Common Computational Framework Across Artificial Intelligence, Cognitive Science, Neuroscience, and RoboticsThe AI magazine, 2017-12, Vol.38 (4), p.13-26 [Peer Reviewed Journal]2017 The Authors. AI Magazine published by John Wiley & Sons Ltd on behalf of Association for the Advancement of Artificial Intelligence ;COPYRIGHT 2017 American Association for Artificial Intelligence ;COPYRIGHT 2017 American Association for Artificial Intelligence ;ISSN: 0738-4602 ;EISSN: 2371-9621 ;DOI: 10.1609/aimag.v38i4.2744Full text available |
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17 |
Material Type: Book
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Building and Using Comparable Corpora for Multilingual Natural Language ProcessingThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1947-4040 ;ISBN: 3031313836 ;ISBN: 9783031313837 ;EISSN: 1947-4059 ;EISBN: 9783031313844 ;EISBN: 3031313844 ;DOI: 10.1007/978-3-031-31384-4 ;OCLC: 1396064039Digital Resources/Online E-Resources |
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18 |
Material Type: 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 marketingJournal 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/s11747-022-00840-3Full text available |
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19 |
Material Type: Article
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Personality, gender, and age in the language of social media: the open-vocabulary approachPloS one, 2013-09, Vol.8 (9), p.e73791-e73791 [Peer Reviewed Journal]COPYRIGHT 2013 Public Library of Science ;2013 Schwartz et al. 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, 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. ;2013 Schwartz et al 2013 Schwartz et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0073791 ;PMID: 24086296Full text available |
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20 |
Material Type: Article
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A survey on sentiment analysis methods, applications, and challengesThe Artificial intelligence review, 2022-10, Vol.55 (7), p.5731-5780 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Nature B.V. 2022 ;COPYRIGHT 2022 Springer ;The Author(s), under exclusive licence to Springer Nature B.V. 2022. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-022-10144-1Full text available |