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1	Material Type: Book	Machine translation for everyone: Empowering users in the age of artificial intelligence ISBN: 9783985540457 ;ISBN: 3985540454 ;DOI: 10.5281/zenodo.6653406 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Book	Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media ISBN: 3031231899 ;ISBN: 9783031231902 ;ISBN: 9783031231896 ;ISBN: 3031231902 ;ISBN: 9783030000 ;ISBN: 9789783030008 ;EISBN: 9783031231902 ;EISBN: 3031231902 ;DOI: 10.1007/978-3-031-23190-2 ;OCLC: 1380847755 ;LCCallNum: HD58.7 .P33 2023 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Natural language processing: state of the art, current trends and challenges Multimedia 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: 35855771 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering Transactions 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_00279 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Book	Revealing Media Bias in News Articles: NLP Techniques for Automated Frame Analysis ISBN: 9783031176937 ;ISBN: 3031176936 ;ISBN: 9783031176920 ;ISBN: 3031176928 ;EISBN: 9783031176937 ;EISBN: 3031176936 ;DOI: 10.1007/978-3-031-17693-7 ;OCLC: 1371330002 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Book	Representation Learning for Natural Language Processing ISBN: 9811555729 ;ISBN: 9789811555725 ;EISBN: 9789811555732 ;EISBN: 9811555737 ;DOI: 10.1007/978-981-15-5573-2 ;OCLC: 1176494182 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Natural language based financial forecasting: a survey The 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/s10462-017-9588-9 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	A Survey of the Usages of Deep Learning for Natural Language Processing IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.604 EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.2979670 ;PMID: 32324570 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
9	Material Type: Article	Leveraging Pre-trained Checkpoints for Sequence Generation Tasks Transactions 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_00313 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Book	Representation Learning for Natural Language Processing ISBN: 9789819916009 ;ISBN: 9819916003 ;ISBN: 9819915996 ;ISBN: 9789819915996 ;EISBN: 9789819916009 ;EISBN: 9819916003 ;DOI: 10.1007/978-981-99-1600-9 ;OCLC: 1395909338 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Book	Grammatical Inference for Computational Linguistics ISBN: 9783031021596 ;ISBN: 3031021592 ;ISBN: 9783031010316 ;ISBN: 3031010310 ;EISBN: 9783031021596 ;EISBN: 3031021592 ;OCLC: 929533392 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
12	Material Type: Book	Probabilistic Topic Models: Foundation and Application The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023 ;ISBN: 9789819924301 ;ISBN: 9819924308 ;EISBN: 9819924316 ;EISBN: 9789819924318 ;DOI: 10.1007/978-981-99-2431-8 ;OCLC: 1381705540 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
13	Material Type: Article	SummaC : Re-Visiting NLI-based Models for Inconsistency Detection in Summarization Transactions 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_00453 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Book	Building and Using Comparable Corpora for Multilingual Natural Language Processing The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1947-4040 ;ISBN: 3031313836 ;ISBN: 9783031313837 ;EISSN: 1947-4059 ;EISBN: 9783031313844 ;EISBN: 3031313844 ;DOI: 10.1007/978-3-031-31384-4 ;OCLC: 1396064039 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
15	Material Type: Article	Measuring and Improving Consistency in Pretrained Language Models Transactions 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_00410 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Inherent Disagreements in Human Textual Inferences Transactions 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_00293 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Book	Knowledge-Augmented Methods for Natural Language Processing ISBN: 9789819707492 ;ISBN: 9819707498 ;EISBN: 9819707471 ;EISBN: 9789819707478 ;DOI: 10.1007/978-981-97-0747-8 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
18	Material Type: Article	Urdu language processing: a survey The 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-x Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Natural Language Analysis and the Psychology of Verbal Behavior: The Past, Present, and Future States of the Field Journal 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: 10.1177/0261927X20967028 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Resources and benchmark corpora for hate speech detection: a systematic review Language 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/s10579-020-09502-8 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 8,260 for All Library Resources

ISBN: 9783985540457 ;ISBN: 3985540454 ;DOI: 10.5281/zenodo.6653406

ISBN: 3031231899 ;ISBN: 9783031231902 ;ISBN: 9783031231896 ;ISBN: 3031231902 ;ISBN: 9783030000 ;ISBN: 9789783030008 ;EISBN: 9783031231902 ;EISBN: 3031231902 ;DOI: 10.1007/978-3-031-23190-2 ;OCLC: 1380847755 ;LCCallNum: HD58.7 .P33 2023

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_00279

ISBN: 9783031176937 ;ISBN: 3031176936 ;ISBN: 9783031176920 ;ISBN: 3031176928 ;EISBN: 9783031176937 ;EISBN: 3031176936 ;DOI: 10.1007/978-3-031-17693-7 ;OCLC: 1371330002

ISBN: 9811555729 ;ISBN: 9789811555725 ;EISBN: 9789811555732 ;EISBN: 9811555737 ;DOI: 10.1007/978-981-15-5573-2 ;OCLC: 1176494182

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/s10462-017-9588-9

EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.2979670 ;PMID: 32324570

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_00313

ISBN: 9789819916009 ;ISBN: 9819916003 ;ISBN: 9819915996 ;ISBN: 9789819915996 ;EISBN: 9789819916009 ;EISBN: 9819916003 ;DOI: 10.1007/978-981-99-1600-9 ;OCLC: 1395909338

ISBN: 9783031021596 ;ISBN: 3031021592 ;ISBN: 9783031010316 ;ISBN: 3031010310 ;EISBN: 9783031021596 ;EISBN: 3031021592 ;OCLC: 929533392

The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023 ;ISBN: 9789819924301 ;ISBN: 9819924308 ;EISBN: 9819924316 ;EISBN: 9789819924318 ;DOI: 10.1007/978-981-99-2431-8 ;OCLC: 1381705540

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_00453

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_00410

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_00293

ISBN: 9789819707492 ;ISBN: 9819707498 ;EISBN: 9819707471 ;EISBN: 9789819707478 ;DOI: 10.1007/978-981-97-0747-8

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-x

The Author(s) 2020 ;ISSN: 0261-927X ;EISSN: 1552-6526 ;DOI: 10.1177/0261927X20967028

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