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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Machine translation for everyone: Empowering users in the age of artificial intelligenceISBN: 9783985540457 ;ISBN: 3985540454 ;DOI: 10.5281/zenodo.6653406Digital Resources/Online E-Resources |
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2 |
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 ;DOI: 10.1007/978-3-031-23190-2Digital Resources/Online E-Resources |
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3 |
Material Type: Article
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Natural language processing: state of the art, current trends and challengesMultimedia tools and applications, 2023-01, Vol.82 (3), p.3713-3744 [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.. corrected publication 2022 ;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.corrected publication 2022. ;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. corrected publication 2022. ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, corrected publication 2022Springer 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. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-13428-4 ;PMID: 35855771Full text available |
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4 |
Material Type: Article
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Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question AnsweringTransactions of the Association for Computational Linguistics, 2019-11, Vol.7, p.387-401 [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_00279Full text available |
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5 |
Material Type: Book
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Revealing Media Bias in News Articles: NLP Techniques for Automated Frame AnalysisISBN: 9783031176937 ;ISBN: 3031176936 ;DOI: 10.1007/978-3-031-17693-7Digital Resources/Online E-Resources |
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6 |
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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7 |
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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8 |
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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9 |
Material Type: Article
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Leveraging Pre-trained Checkpoints for Sequence Generation TasksTransactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.264-280 [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_00313Full text available |
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10 |
Material Type: Book
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Representation Learning for Natural Language ProcessingISBN: 9789819916009 ;ISBN: 9819916003 ;ISBN: 9819915996 ;ISBN: 9789819915996 ;DOI: 10.1007/978-981-99-1600-9Digital Resources/Online E-Resources |
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11 |
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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SummaC : Re-Visiting NLI-based Models for Inconsistency Detection in SummarizationTransactions of the Association for Computational Linguistics, 2022-02, Vol.10, p.163-177 [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_00453Full text available |
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13 |
Material Type: Article
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Measuring and Improving Consistency in Pretrained Language ModelsTransactions of the Association for Computational Linguistics, 2021-01, Vol.9, p.1012-1031 [Peer Reviewed Journal]2021. 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_00410Full text available |
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14 |
Material Type: Article
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Inherent Disagreements in Human Textual InferencesTransactions of the Association for Computational Linguistics, 2019-11, Vol.7, p.677-694 [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_00293Full text available |
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15 |
Material Type: Article
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Urdu language processing: a surveyThe Artificial intelligence review, 2017-03, Vol.47 (3), p.279-311 [Peer Reviewed Journal]Springer Science+Business Media Dordrecht 2016 ;COPYRIGHT 2017 Springer ;Artificial Intelligence Review is a copyright of Springer, 2017. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-016-9482-xFull text available |
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16 |
Material Type: Article
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Natural Language Analysis and the Psychology of Verbal Behavior: The Past, Present, and Future States of the FieldJournal of language and social psychology, 2021-01, Vol.40 (1), p.21-41 [Peer Reviewed Journal]The Author(s) 2020 ;ISSN: 0261-927X ;EISSN: 1552-6526 ;DOI: 10.1177/0261927X20967028Digital Resources/Online E-Resources |
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17 |
Material Type: Article
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Resources and benchmark corpora for hate speech detection: a systematic reviewLanguage resources and evaluation, 2021-06, Vol.55 (2), p.477-523 [Peer Reviewed Journal]The Author(s) 2020 ;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: 1574-020X ;EISSN: 1574-0218 ;DOI: 10.1007/s10579-020-09502-8Full text available |
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18 |
Material Type: Article
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Supporting Process Model Validation through Natural Language GenerationIEEE transactions on software engineering, 2014-08, Vol.40 (8), p.818-840 [Peer Reviewed Journal]Copyright IEEE Computer Society Aug 1, 2014 ;ISSN: 0098-5589 ;EISSN: 1939-3520 ;DOI: 10.1109/TSE.2014.2327044 ;CODEN: IESEDJDigital Resources/Online E-Resources |
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19 |
Material Type: Article
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An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsTransactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.621-633 [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_00335Full text available |
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20 |
Material Type: Book
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Metaphor: A Computational PerspectiveISBN: 9783031021602 ;ISBN: 3031021606 ;ISBN: 9783031010323 ;ISBN: 3031010329 ;EISBN: 9783031021602 ;EISBN: 3031021606 ;OCLC: 945135833Digital Resources/Online E-Resources |