Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Book
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Linguistic Resources for Natural Language Processing: On the Necessity of Using Linguistic Methods to Develop NLP SoftwareISBN: 9783031438103 ;ISBN: 3031438108 ;EISBN: 3031438116 ;EISBN: 9783031438110 ;OCLC: 1427723471Digital Resources/Online E-Resources |
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2 |
Material Type: Book
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Proceedings of International Joint Conference on Advances in Computational Intelligence: Ijcaci 2023ISBN: 9789819701797 ;ISBN: 9819701791 ;EISBN: 9819701805 ;EISBN: 9789819701803 ;OCLC: 1428902644Digital Resources/Online E-Resources |
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3 |
Material Type: Book
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Building Data-Driven Applications with LlamaIndex: A Practical Guide to Retrieval-Augmented Generation (RAG) to Enhance LLM ApplicationsEISBN: 1805124404 ;EISBN: 9781805124405Digital Resources/Online E-Resources |
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4 |
Material Type: Article
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Zero-, Single-, and Few-Shot Learning in Large Language Models to Identify Incidental Findings From Radiology ReportsAmerican journal of roentgenology (1976), 2024-03, Vol.222 (3), p.e2431014-e2431014 [Peer Reviewed Journal]EISSN: 1546-3141 ;DOI: 10.2214/AJR.24.31014 ;PMID: 38447026Digital Resources/Online E-Resources |
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5 |
Material Type: Article
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Automatic inference of ICD-10 codes from German ophthalmologic physicians' letters using natural language processingScientific reports, 2024-04, Vol.14 (1), p.9035-9035 [Peer Reviewed Journal]2024. The Author(s). ;The Author(s) 2024. 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. ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-59926-3 ;PMID: 38641674Full text available |
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6 |
Material Type: Book
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Conversations with a Chatbot: Prompt Engineering (the Short Form)ISBN: 9780895562692 ;ISBN: 0895562693 ;EISBN: 0895566761 ;EISBN: 9780895566768 ;OCLC: 1424751631Digital Resources/Online E-Resources |
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7 |
Material Type: Book
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Fundamental Approaches to Software Engineering: 27th International Conference, FASE 2024, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Luxembourg City, Luxembourg, April 6–11, 2024, ProceedingsISBN: 9783031572586 ;ISBN: 3031572599 ;ISBN: 3031572580 ;ISBN: 9783031572593 ;DOI: 10.1007/978-3-031-57259-3Digital Resources/Online E-Resources |
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8 |
Material Type: Article
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A deep learning approach for Named Entity Recognition in Urdu languagePloS one, 2024-03, Vol.19 (3), p.e0300725-e0300725 [Peer Reviewed Journal]Copyright: © 2024 Anam et al. 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 author and source are credited. ;COPYRIGHT 2024 Public Library of Science ;2024 Anam et al 2024 Anam et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0300725 ;PMID: 38547173Full text available |
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9 |
Material Type: Article
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Complex visual question answering based on uniform form and contentApplied intelligence (Dordrecht, Netherlands), 2024-03, Vol.54 (6), p.4602-4620 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. 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: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-024-05383-4Digital Resources/Online E-Resources |
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10 |
Material Type: Article
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Assessing Verbal Eyewitness Confidence Statements Using Natural Language ProcessingPsychological science, 2024-03, Vol.35 (3), p.277 [Peer Reviewed Journal]EISSN: 1467-9280 ;DOI: 10.1177/09567976241229028 ;PMID: 38376954Digital Resources/Online E-Resources |
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11 |
Material Type: Article
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Now you see me, now you don’t: an exploration of religious exnomination in DALL-EEthics and information technology, 2024-06, Vol.26 (2), p.27-27 [Peer Reviewed Journal]The Author(s) 2024 ;The Author(s) 2024. ;The Author(s) 2024. 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: 1388-1957 ;EISSN: 1572-8439 ;DOI: 10.1007/s10676-024-09760-y ;PMID: 38617999Digital Resources/Online E-Resources |
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12 |
Material Type: Article
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Getting to Know Named Entity Recognition: Better Information RetrievalMedical reference services quarterly, 2024-04, Vol.43 (2), p.196 [Peer Reviewed Journal]EISSN: 1540-9597 ;DOI: 10.1080/02763869.2024.2335139 ;PMID: 38722609Digital Resources/Online E-Resources |
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13 |
Material Type: Book
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Machine Intelligence for Research and Innovations: Proceedings of MAiTRI 2023, Volume 1ISBN: 981998128X ;ISBN: 9789819981281 ;EISBN: 9819981298 ;EISBN: 9789819981298 ;OCLC: 1425248580Digital Resources/Online E-Resources |
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14 |
Material Type: Article
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Sentiment Dimensions and Intentions in Scientific Analysis: Multilevel Classification in Text and CitationsElectronics (Basel), 2024-05, Vol.13 (9), p.1753 [Peer Reviewed Journal]COPYRIGHT 2024 MDPI AG ;2024 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: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics13091753Full text available |
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15 |
Material Type: Article
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Automated Assessment of Inferences Using Pre-Trained Language ModelsApplied sciences, 2024-05, Vol.14 (9), p.3657 [Peer Reviewed Journal]COPYRIGHT 2024 MDPI AG ;2024 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/app14093657Full text available |
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16 |
Material Type: Article
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Early identification of suspected serious infection among patients afebrile at initial presentation using neural network models and natural language processing: A development and external validation study in the emergency departmentThe American journal of emergency medicine, 2024-06, Vol.80, p.67-76 [Peer Reviewed Journal]2024 Elsevier Inc. ;Copyright © 2024 Elsevier Inc. All rights reserved. ;ISSN: 0735-6757 ;EISSN: 1532-8171 ;DOI: 10.1016/j.ajem.2024.03.006 ;PMID: 38507849Digital Resources/Online E-Resources |
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17 |
Material Type: Article
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An Entity Extraction Pipeline for Medical Text Records Using Large Language Models: Analytical StudyJournal of medical Internet research, 2024-03, Vol.26 (6), p.e54580-e54580 [Peer Reviewed Journal]Lei Wang, Yinyao Ma, Wenshuai Bi, Hanlin Lv, Yuxiang Li. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 29.03.2024. ;COPYRIGHT 2024 Journal of Medical Internet Research ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/54580 ;PMID: 38551633Full text available |
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18 |
Material Type: Article
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Natural language processing (NLP) to facilitate abstract review in medical research: the application of BioBERT to exploring the 20-year use of NLP in medical researchSystematic reviews, 2024-04, Vol.13 (1), p.107-107 [Peer Reviewed Journal]2024. The Author(s). ;The Author(s) 2024 ;EISSN: 2046-4053 ;DOI: 10.1186/s13643-024-02470-y ;PMID: 38622611Full text available |
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19 |
Material Type: Article
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Natural language instructions induce compositional generalization in networks of neuronsNature neuroscience, 2024-05, Vol.27 (5), p.988-999 [Peer Reviewed Journal]2024. The Author(s). ;The Author(s) 2024. 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: 1097-6256 ;EISSN: 1546-1726 ;DOI: 10.1038/s41593-024-01607-5 ;PMID: 38499855Digital Resources/Online E-Resources |
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20 |
Material Type: Article
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Prediction of coronary artery bypass graft outcomes using a single surgical note: An artificial intelligence-based prediction model studyPloS one, 2024-04, Vol.19 (4), p.e0300796-e0300796 [Peer Reviewed Journal]Copyright: © 2024 Del Gaizo et al. 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 author and source are credited. ;COPYRIGHT 2024 Public Library of Science ;2024 Del Gaizo et al 2024 Del Gaizo et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0300796 ;PMID: 38662684Full text available |