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11 |
Material Type: Bài báo
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Named Entity Extraction for Knowledge Graphs: A Literature OverviewIEEE access, 2020, Vol.8, p.32862-32881 [Tạp chí có phản biện]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2973928 ;CODEN: IAECCGTài liệu số/Tài liệu điện tử |
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12 |
Material Type: Kỷ yếu hội nghị
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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: IEEPADTài liệu số/Tài liệu điện tử |
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13 |
Material Type: Bài báo
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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 [Tạp chí có phản biện]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.v19i01.46079Tài liệu số/Tài liệu điện tử |
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14 |
Material Type: Bài báo
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Vision Transformers for Remote Sensing Image ClassificationRemote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.516 [Tạp chí có phản biện]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/rs13030516Tài liệu số/Tài liệu điện tử |
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15 |
Material Type: Bài báo
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Break It Down: A Question Understanding BenchmarkTransactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.183 [Tạp chí có phản biện]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_00309Tài liệu số/Tài liệu điện tử |
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16 |
Material Type: Bài báo
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An effective negative sampling approach for contrastive learning of sentence embeddingMachine learning, 2023-12, Vol.112 (12), p.4837-4861 [Tạp chí có phản biện]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/s10994-023-06408-8Tài liệu số/Tài liệu điện tử |
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17 |
Material Type: Bài báo
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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 [Tạp chí có phản biện]2018 World Psychiatric Association ;2018 World Psychiatric Association. ;ISSN: 1723-8617 ;EISSN: 2051-5545 ;DOI: 10.1002/wps.20491 ;PMID: 29352548Tài liệu số/Tài liệu điện tử |
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18 |
Material Type: Bài báo
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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 [Tạp chí có phản biện]EISSN: 2168-2208 ;DOI: 10.1109/JBHI.2020.3001216 ;PMID: 32750931Tài liệu số/Tài liệu điện tử |
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19 |
Material Type: Bài báo
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Automatic detection of cyberbullying in social media textPloS one, 2018-10, Vol.13 (10), p.e0203794-e0203794 [Tạp chí có phản biện]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: 30296299Tài liệu số/Tài liệu điện tử |
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20 |
Material Type: Bài báo
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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 [Tạp chí có phản biện]EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2020.3004830 ;PMID: 32750794Tài liệu số/Tài liệu điện tử |