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Pretrained Transformers for Text Ranking: BERT and BeyondComputational Linguistics, 2023-03, Vol.49 (1), p.253-255 [Peer Reviewed Journal]2023. This work is published under https://creativecommons.org/licenses/by-nc-nd/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: 0891-2017 ;EISSN: 1530-9312 ;DOI: 10.1162/coli_r_00468Full text available |
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Material Type: Article
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Domain-Sensitive Temporal TaggingComputational Linguistics, 2018-06, Vol.44 (2), p.375-377 [Peer Reviewed Journal]Copyright MIT Press Journals, The Jun 2018 ;ISSN: 0891-2017 ;EISSN: 1530-9312 ;DOI: 10.1162/coli_r_00319Full text available |
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Material Type: Article
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The PRISMA 2020 statement: an updated guideline for reporting systematic reviewsSystematic reviews, 2021-03, Vol.10 (1), p.89-89, Article 89 [Peer Reviewed Journal]2021. 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) 2021 ;ISSN: 2046-4053 ;EISSN: 2046-4053 ;DOI: 10.1186/s13643-021-01626-4 ;PMID: 33781348Full text available |
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Material Type: Article
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The GUM corpus: creating multilayer resources in the classroomLanguage Resources and Evaluation, 2017-09, Vol.51 (3), p.581-612 [Peer Reviewed Journal]Springer Science+Business Media 2017 ;Springer Science+Business Media Dordrecht 2016 ;Language Resources and Evaluation is a copyright of Springer, 2017. ;ISSN: 1574-020X ;EISSN: 1572-8412 ;EISSN: 1574-0218 ;DOI: 10.1007/s10579-016-9343-xFull text available |
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Material Type: Article
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Rethinking drug design in the artificial intelligence eraNature reviews. Drug discovery, 2020-05, Vol.19 (5), p.353-364 [Peer Reviewed Journal]COPYRIGHT 2020 Nature Publishing Group ;COPYRIGHT 2020 Nature Publishing Group ;Springer Nature Limited 2019. ;ISSN: 1474-1776 ;EISSN: 1474-1784 ;DOI: 10.1038/s41573-019-0050-3 ;PMID: 31801986Full text available |
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Material Type: Article
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Information theory-based compositional distributional semanticscc-by-nc-nd (c) Association for Computational Linguistics, 2022 https://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess ;ISSN: 0891-2017 ;EISSN: 1530-9312 ;DOI: 10.1162/coli_a_00454Full text available |
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Material Type: Article
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MetaQA: Enhancing human-centered data search using Generative Pre-trained TransformerPloS one, 2023-11, Vol.18 (11), p.e0293034 [Peer Reviewed Journal]COPYRIGHT 2023 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0293034Full text available |
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Material Type: Article
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Garbage In, Flowers Out: Noisy Training Data Help Generative Models at Test TimeIJCoL (Torino), 2022-07, Vol.8 (1), p.45 [Peer Reviewed Journal]2022. 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: 2499-4553 ;EISSN: 2499-4553 ;DOI: 10.4000/ijcol.974Full text available |
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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: Article
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Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequencesProceedings of the National Academy of Sciences - PNAS, 2021-04, Vol.118 (15), p.1 [Peer Reviewed Journal]Copyright © 2021 the Author(s). Published by PNAS. ;COPYRIGHT 2021 National Academy of Sciences ;Copyright National Academy of Sciences Apr 13, 2021 ;Copyright © 2021 the Author(s). Published by PNAS. 2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2016239118 ;PMID: 33876751Full text available |
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Material Type: Article
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Garden-path sentences and the diversity of theirPloS one, 2023-07, Vol.18 (7), p.e0288817 [Peer Reviewed Journal]COPYRIGHT 2023 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0288817Full text available |
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Material Type: Article
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Quo vadis artificial intelligence?Discover Artificial Intelligence, 2022-03, Vol.2 (1), p.1-19, Article 4 [Peer Reviewed Journal]The Author(s) 2022 ;ISSN: 2731-0809 ;EISSN: 2731-0809 ;DOI: 10.1007/s44163-022-00022-8Full text available |
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13 |
Material Type: Article
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Deep Learning for Generic Object Detection: A SurveyInternational journal of computer vision, 2020-02, Vol.128 (2), p.261-318 [Peer Reviewed Journal]The Author(s) 2019 ;COPYRIGHT 2020 Springer ;International Journal of Computer Vision is a copyright of Springer, (2019). All Rights Reserved. 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. ;The Author(s) 2019. 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: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-019-01247-4Full text available |
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14 |
Material Type: Article
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Word Recognition and Word Prediction in Preschoolers WithJournal of speech, language, and hearing research, 2021-06, Vol.64 (6) [Peer Reviewed Journal]COPYRIGHT 2021 American Speech-Language-Hearing Association ;ISSN: 1092-4388 ;EISSN: 1558-9102Full text available |
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Material Type: Article
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Knowledge Distillation: A SurveyInternational journal of computer vision, 2021-06, Vol.129 (6), p.1789-1819 [Peer Reviewed Journal]Crown 2021 ;COPYRIGHT 2021 Springer ;Crown 2021. ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-021-01453-zFull text available |
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Material Type: Article
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ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte ModelsTransactions of the Association for Computational Linguistics, 2022-03, Vol.10, p.291-306 [Peer Reviewed Journal]2022. 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_00461Full text available |
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17 |
Material Type: Article
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Natural Questions: A Benchmark for Question Answering ResearchTransactions of the Association for Computational Linguistics, , Vol.7, p.453-466 [Peer Reviewed Journal]2019. 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_00276Full text available |
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18 |
Material Type: Article
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SpanBERT: Improving Pre-training by Representing and Predicting SpansTransactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.64-77 [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_00300Full text available |
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19 |
Material Type: Article
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How Can We Know What Language Models Know?Transactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.423-438 [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_00324Full text available |
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20 |
Material Type: Article
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A strategic framework for artificial intelligence in marketingJournal of the Academy of Marketing Science, 2021-01, Vol.49 (1), p.30-50 [Peer Reviewed Journal]The Author(s) 2020 ;COPYRIGHT 2021 Springer ;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: 0092-0703 ;EISSN: 1552-7824 ;DOI: 10.1007/s11747-020-00749-9Full text available |