Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
---|---|---|---|
1 |
Material Type: Book
|
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 |
|
2 |
Material Type: Article
|
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 |
|
3 |
Material Type: Book
|
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 |
|
4 |
Material Type: Book
|
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 |
|
5 |
Material Type: Article
|
Probing Classifiers: Promises, Shortcomings, and AdvancesComputational linguistics - Association for Computational Linguistics, 2022-04, Vol.48 (1), p.207-219 [Peer Reviewed Journal]2022. 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_a_00422Full text available |
|
6 |
Material Type: Article
|
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 |
|
7 |
Material Type: Book
|
Machine translation for everyone: Empowering users in the age of artificial intelligenceISBN: 9783985540457 ;ISBN: 3985540454 ;DOI: 10.5281/zenodo.6653406Digital Resources/Online E-Resources |
|
8 |
Material Type: Article
|
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 |
|
9 |
Material Type: Book
|
Digital Humanities, Corpus and Language Technology = Humanidades Digitales, Corpus y Tecnología del Lenguaje: A look from diverse case studies = Una mirada desde diversos casos de estudioISBN: 9403430230 ;ISBN: 9789403430232 ;DOI: 10.21827/646242d096bebDigital Resources/Online E-Resources |
|
10 |
Material Type: Article
|
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 |
|
11 |
Material Type: Article
|
GPT-3: What’s it good for?Natural language engineering, 2021-01, Vol.27 (1), p.113-118 [Peer Reviewed Journal]Cambridge University Press 2020 ;2020 This article is published under (https://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: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324920000601Full text available |
|
12 |
Material Type: Article
|
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 |
|
13 |
Material Type: Article
|
Parameter-efficient fine-tuning of large-scale pre-trained language modelsNature machine intelligence, 2023-03, Vol.5 (3), p.220-235 [Peer Reviewed Journal]The Author(s) 2023. 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: 2522-5839 ;EISSN: 2522-5839 ;DOI: 10.1038/s42256-023-00626-4Full text available |
|
14 |
Material Type: Book
|
The handbook of computational linguistics and natural language processingISBN: 9781444324051 ;ISBN: 1444324055 ;ISBN: 9781405155816 ;ISBN: 1405155817 ;ISBN: 9781118347188 ;ISBN: 1118347188 ;ISBN: 9781444324044 ;ISBN: 1444324047 ;EISBN: 1118448677 ;EISBN: 9781118448670 ;EISBN: 9781444324051 ;EISBN: 1444324055 ;DOI: 10.1002/9781444324044 ;OCLC: 927508167 ;OCLC: 657621904 ;LCCallNum: P98.H346 2010Full text available |
|
15 |
Material Type: Article
|
Shared computational principles for language processing in humans and deep language modelsNature neuroscience, 2022-03, Vol.25 (3), p.369-380 [Peer Reviewed Journal]2022. The Author(s). ;The Author(s) 2022. 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. ;The Author(s) 2022 ;ISSN: 1097-6256 ;EISSN: 1546-1726 ;DOI: 10.1038/s41593-022-01026-4 ;PMID: 35260860Full text available |
|
16 |
Material Type: Book
|
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 |
|
17 |
Material Type: Article
|
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 |
|
18 |
Material Type: Article
|
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLPTransactions of the Association for Computational Linguistics, 2021-12, Vol.9, p.1408-1424 [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_00434Full text available |
|
19 |
Material Type: Article
|
Analysis Methods in Neural Language Processing: A SurveyTransactions of the Association for Computational Linguistics, 2019-01, Vol.7, p.49-72 [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_00254Full text available |
|
20 |
Material Type: Article
|
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 |