Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Article
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OWL2Vec: embedding of OWL ontologiesMachine 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/s10994-021-05997-6Full text available |
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2 |
Material Type: Book
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Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of MeaningISBN: 9783031021770 ;ISBN: 3031021770 ;ISBN: 9783031010491 ;ISBN: 3031010493 ;EISBN: 9783031021770 ;EISBN: 3031021770 ;OCLC: 1225971295Digital Resources/Online E-Resources |
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3 |
Material Type: Article
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Deep Learning Enabled Semantic Communication SystemsIEEE transactions on signal processing, 2021, Vol.69, p.2663-2675 [Peer Reviewed Journal]ISSN: 1053-587X ;EISSN: 1941-0476 ;DOI: 10.1109/TSP.2021.3071210 ;CODEN: ITPREDDigital Resources/Online E-Resources |
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4 |
Material Type: Article
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Semantic approach for solving the decision problem in natural languageJournal of physics. Conference series, 2023-05, Vol.2514 (1), p.12019 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2514/1/012019Full text available |
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5 |
Material Type: Book
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Semantic Similarity from Natural Language and Ontology AnalysisISBN: 3031021568 ;ISBN: 9783031021565 ;ISBN: 9783031010286 ;ISBN: 3031010280 ;EISBN: 3031021568 ;EISBN: 9783031021565 ;DOI: 10.2200/S00639ED1V01Y201504HLT027 ;OCLC: 910448143Digital Resources/Online E-Resources |
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6 |
Material Type: Article
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A Primer in BERTology: What We Know About How BERT WorksTransactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.842-866 [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_00349Full text available |
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7 |
Material Type: Article
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Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable?IEEE internet computing, 2021-01, Vol.25 (1), p.51-59 [Peer Reviewed Journal]ISSN: 1089-7801 ;EISSN: 1941-0131 ;DOI: 10.1109/MIC.2020.3031769 ;CODEN: IICOFXDigital Resources/Online E-Resources |
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8 |
Material Type: Article
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What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language ModelsTransactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.34-48 [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_00298Full text available |
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9 |
Material Type: Article
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Named Entity Extraction for Knowledge Graphs: A Literature OverviewIEEE access, 2020, Vol.8, p.32862-32881 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2973928 ;CODEN: IAECCGFull text available |
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10 |
Material Type: Conference Proceeding
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Automated Handling of Anaphoric Ambiguity in Requirements: A Multi-solution Study2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022, p.187-199EISSN: 1558-1225 ;EISBN: 9781450392211 ;EISBN: 1450392210 ;DOI: 10.1145/3510003.3510157 ;CODEN: IEEPADDigital Resources/Online E-Resources |
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11 |
Material Type: Book
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Linguistic Fundamentals for Natural Language Processing II: 100 Essentials from Semantics and PragmaticsISBN: 9783031021725 ;ISBN: 303102172X ;ISBN: 3031010442 ;ISBN: 9783031010446 ;EISBN: 9783031021725 ;EISBN: 303102172X ;OCLC: 1127939686Digital Resources/Online E-Resources |
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12 |
Material Type: Article
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Analysis of Abstractive and Extractive Summarization MethodsInternational journal of emerging technologies in learning, 2024-01, Vol.19 (1), p.86-96 [Peer Reviewed Journal]2024. This work is published under https://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: 1863-0383 ;EISSN: 1863-0383 ;DOI: 10.3991/ijet.v19i01.46079Full text available |
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13 |
Material Type: Article
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MRA-Net: Improving VQA Via Multi-Modal Relation Attention NetworkIEEE transactions on pattern analysis and machine intelligence, 2022-01, Vol.44 (1), p.318 [Peer Reviewed Journal]EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2020.3004830 ;PMID: 32750794Digital Resources/Online E-Resources |
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14 |
Material Type: Article
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Vision Transformers for Remote Sensing Image ClassificationRemote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.516 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13030516Full text available |
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15 |
Material Type: Article
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Break It Down: A Question Understanding BenchmarkTransactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.183 [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_00309Full text available |
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16 |
Material Type: Article
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TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learningMachine learning, 2024, Vol.113 (7), p.3999-4012 [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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06512-9Digital Resources/Online E-Resources |
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17 |
Material Type: Article
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Prediction of psychosis across protocols and risk cohorts using automated language analysisWorld psychiatry, 2018-02, Vol.17 (1), p.67-75 [Peer Reviewed Journal]2018 World Psychiatric Association ;2018 World Psychiatric Association. ;ISSN: 1723-8617 ;EISSN: 2051-5545 ;DOI: 10.1002/wps.20491 ;PMID: 29352548Full text available |
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18 |
Material Type: Article
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An effective negative sampling approach for contrastive learning of sentence embeddingMachine learning, 2023-12, Vol.112 (12), p.4837-4861 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2023. 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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06408-8Digital Resources/Online E-Resources |
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19 |
Material Type: Article
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Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network ApproachIEEE journal of biomedical and health informatics, 2020-10, Vol.24 (10), p.2733 [Peer Reviewed Journal]EISSN: 2168-2208 ;DOI: 10.1109/JBHI.2020.3001216 ;PMID: 32750931Digital Resources/Online E-Resources |
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20 |
Material Type: Article
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Automatic detection of cyberbullying in social media textPloS one, 2018-10, Vol.13 (10), p.e0203794-e0203794 [Peer Reviewed Journal]COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Van Hee 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. ;2018 Van Hee et al 2018 Van Hee et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0203794 ;PMID: 30296299Full text available |