skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Results 1 - 20 of 6,377  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page
Show only
Refined by: subject: Linguistics remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Machine translation for everyone: Empowering users in the age of artificial intelligence
Machine translation for everyone: Empowering users in the age of artificial intelligence
Material Type:
Book 		Add to My Research

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

Citations Cited by
2
Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media
Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media
Material Type:
Book 		Add to My Research

Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media

ISBN: 3031231899 ;ISBN: 9783031231902 ;ISBN: 9783031231896 ;ISBN: 3031231902 ;DOI: 10.1007/978-3-031-23190-2

Digital Resources/Online E-Resources

Citations Cited by
3
Natural language processing: state of the art, current trends and challenges
Natural language processing: state of the art, current trends and challenges
Material Type:
Article 		Add to My Research

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

Citations Cited by
4
Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering
Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering
Material Type:
Article 		Add to My Research

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

Citations Cited by
5
Revealing Media Bias in News Articles: NLP Techniques for Automated Frame Analysis
Revealing Media Bias in News Articles: NLP Techniques for Automated Frame Analysis
Material Type:
Book 		Add to My Research

Revealing Media Bias in News Articles: NLP Techniques for Automated Frame Analysis

ISBN: 9783031176937 ;ISBN: 3031176936 ;DOI: 10.1007/978-3-031-17693-7

Digital Resources/Online E-Resources

Citations Cited by
6
Representation Learning for Natural Language Processing
Representation Learning for Natural Language Processing
Material Type:
Book 		Add to My Research

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

Citations Cited by
7
Natural language based financial forecasting: a survey
Natural language based financial forecasting: a survey
Material Type:
Article 		Add to My Research

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

Citations Cited by
8
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Material Type:
Article 		Add to My Research

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

Citations Cited by
9
Representation Learning for Natural Language Processing
Representation Learning for Natural Language Processing
Material Type:
Book 		Add to My Research

Representation Learning for Natural Language Processing

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

Digital Resources/Online E-Resources

Citations Cited by
10
SummaC : Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
SummaC : Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
Material Type:
Article 		Add to My Research

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

Citations Cited by
11
Measuring and Improving Consistency in Pretrained Language Models
Measuring and Improving Consistency in Pretrained Language Models
Material Type:
Article 		Add to My Research

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

Citations Cited by
12
Inherent Disagreements in Human Textual Inferences
Inherent Disagreements in Human Textual Inferences
Material Type:
Article 		Add to My Research

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

Citations Cited by
13
Urdu language processing: a survey
Urdu language processing: a survey
Material Type:
Article 		Add to My Research

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

Citations Cited by
14
Natural Language Analysis and the Psychology of Verbal Behavior: The Past, Present, and Future States of the Field
Natural Language Analysis and the Psychology of Verbal Behavior: The Past, Present, and Future States of the Field
Material Type:
Article 		Add to My Research

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

Citations Cited by
15
Resources and benchmark corpora for hate speech detection: a systematic review
Resources and benchmark corpora for hate speech detection: a systematic review
Material Type:
Article 		Add to My Research

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

Citations Cited by
16
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Material Type:
Article 		Add to My Research

An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models

Transactions 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_00335

Full text available

Citations Cited by
17
A Davidsonian version of Dissemination and Abandonment
A Davidsonian version of Dissemination and Abandonment
Material Type:
Article 		Add to My Research

A Davidsonian version of Dissemination and Abandonment

Nonsite (Atlanta, Ga.), 2024-01 (45) [Peer Reviewed Journal]

Copyright Emory University, College of Arts and Sciences Winter 2024 ;EISSN: 2164-1668

Full text available

Citations Cited by
18
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
Material Type:
Article 		Add to My Research

Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

Transactions of the Association for Computational Linguistics, 2021-09, Vol.9, p.1061-1080 [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_00413

Full text available

Citations Cited by
19
"What is relevant in a text document?": An interpretable machine learning approach
"What is relevant in a text document?": An interpretable machine learning approach
Material Type:
Article 		Add to My Research

"What is relevant in a text document?": An interpretable machine learning approach

PloS one, 2017-08, Vol.12 (8), p.e0181142-e0181142 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Arras 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. ;2017 Arras et al 2017 Arras et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0181142 ;PMID: 28800619

Full text available

Citations Cited by
20
When small words foretell academic success: the case of college admissions essays
When small words foretell academic success: the case of college admissions essays
Material Type:
Article 		Add to My Research

When small words foretell academic success: the case of college admissions essays

PloS one, 2014-12, Vol.9 (12), p.e115844-e115844 [Peer Reviewed Journal]

COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Pennebaker 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. ;2014 Pennebaker et al 2014 Pennebaker et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0115844 ;PMID: 25551217

Full text available

Citations Cited by

Results 1 - 20 of 6,377  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page

Personalize your results

  1. Edit

Refine Search Results

Expand My Results

  1.   

Show only

  1. Peer-reviewed Journals (4,294)

Refine My Results

Creation Date 

From To
Refine
  1. Before 1970  (61)
  2. 1970 To 1982  (255)
  3. 1983 To 1995  (504)
  4. 1996 To 2009  (1,160)
  5. After 2009  (4,555)
  6. More options open sub menu

Language 

  1. English  (6,316)
  2. Japanese  (224)
  3. Spanish  (65)
  4. Portuguese  (34)
  5. German  (31)
  6. French  (30)
  7. Norwegian  (11)
  8. Catalan  (7)
  9. Russian  (6)
  10. Chinese  (6)
  11. Slovak  (5)
  12. Afrikaans  (5)
  13. Polish  (3)
  14. Turkish  (3)
  15. Bulgarian  (2)
  16. Croatian  (2)
  17. Slovenian  (2)
  18. Czech  (1)
  19. Arabic  (1)
  20. Dutch  (1)
  21. More options open sub menu
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait