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Pre-trained transformers are now the de facto models in Natural Language Processing given their state-of-the-art results in many tasks and languages.
1907
Earlier work this paper cites.
1909
Earlier work this paper cites.
R. Plutchik, “Emotions: A general psychoevolutionary theory,” Approaches to emotion , vol. 1984, pp. 197–219, 1984
1984
Earlier work this paper cites.
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean, “Distributed representations of words and phrases and their compositionality,” in Advances in Neural Information Processing Systems , C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Q. Weinberger, Eds., vol. 26. Curran Associates, Inc., 2013. [Online]. Available: https://proceedings.neurips.cc/paper/2013/file/9aa42b31882ec039965f3c4923ce901b-Paper.pdf
2013
Earlier work this paper cites.
J. Pennington, R. Socher, and C. Manning, “GloVe: Global vectors for word representation,” in Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) , Oct. 2014, pp. 1532–1543. [Online]. Available: https://www.aclweb.org/anthology/D14-1162
2014
Earlier work this paper cites.
2016
Earlier work this paper cites.
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of deep bidirectional transformers for language understanding,” in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) , Jun. 2019, pp. 4171–4186. [Online]. Available: https://www.aclweb.org/anthology/N19-1423
2019
Earlier work this paper cites.
M. Polignano, P. Basile, M. de Gemmis, G. Semeraro, and V. Basile, “Alberto: Italian bert language understanding model for nlp challenging tasks based on tweets,” in 6th Italian Conference on Computational Linguistics, CLiC-it 2019 , vol. 2481, 11 2019. [Online]. Available: http://ceur-ws.org/Vol-2481/paper57.pdf
2019
Cited alongside, same era.
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei, “Language models are few-shot learners,” in Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, and H. Lin, Eds., vol. 33, 2020, pp. 1877–1901. [Online]. Available: https://proceedings.neurips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf
2020
Cited alongside, same era.
D. Seddah, F. Essaidi, A. Fethi, M. Futeral, B. Muller, P. J. O. Suárez, B. Sagot, and A. Srivastava, “Building a user-generated content north-african arabizi treebank: Tackling hell,” in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , 2020, pp. 1139–1150. [Online]. Available: https://aclanthology.org/2020.acl-main.107/
2020
Later among the works it cites.
T. Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, P. Cistac, T. Rault, R. Louf, M. Funtowicz, J. Davison, S. Shleifer, P. von Platen, C. Ma, Y. Jernite, J. Plu, C. Xu, T. Le Scao, S. Gugger, M. Drame, Q. Lhoest, and A. Rush, “Transformers: State-of-the-art natural language processing,” in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , Online, Oct. 2020, pp. 38–45. [Online]. Available: https://www.aclweb.org/anthology/2020.emnlp-demos.6
2020
Later among the works it cites.
A. Abdaoui, C. Pradel, and G. Sigel, “Load what you need: Smaller versions of mutililingual BERT,” in Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing @EMNLP , 2020, pp. 119–123. [Online]. Available: https://www.aclweb.org/anthology/2020.sustainlp-1.16
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L. Martin, B. Muller, P. J. O. Suárez, Y. Dupont, L. Romary, É. V. de la Clergerie, D. Seddah, and B. Sagot, “Camembert: a tasty french language model,” in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , 2020. [Online]. Available: https://www.aclweb.org/anthology/2020.acl-main.645
2020
Cited alongside, same era.
A. Conneau, K. Khandelwal, N. Goyal, V. Chaudhary, G. Wenzek, F. Guzmán, É. Grave, M. Ott, L. Zettlemoyer, and V. Stoyanov, “Unsupervised cross-lingual representation learning at scale,” in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , 2020, pp. 8440–8451. [Online]. Available: https://www.aclweb.org/anthology/2020.acl-main.747.pdf
2020
Cited alongside, same era.
J. Younes, E. Souissi, H. Achour, and A. Ferchichi, “Language resources for maghrebi arabic dialects’ nlp: a survey,” Language Resources and Evaluation , vol. 54, no. 4, pp. 1079–1142, 2020. [Online]. Available: https://link.springer.com/article/10.1007/s10579-020-09490-9
2020
Cited alongside, same era.
W. Antoun, F. Baly, and H. Hajj, “AraBERT: Transformer-based model for Arabic language understanding,” in Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection . Marseille, France: European Language Resource Association, May 2020, pp. 9–15. [Online]. Available: https://www.aclweb.org/anthology/2020.osact-1.2
2020
Cited alongside, same era.
L. Moudjari, K. Akli-Astouati, and F. Benamara, “An algerian corpus and an annotation platform for opinion and emotion analysis,” in Proceedings of The 12th Language Resources and Evaluation Conference , 2020, pp. 1202–1210. [Online]. Available: https://www.aclweb.org/anthology/2020.lrec-1.151/
2020
Cited alongside, same era.
2020
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2021
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S. Touileb and J. Barnes, “The interplay between language similarity and script on a novel multi-layer algerian dialect corpus,” in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 , 2021, pp. 3700–3712. [Online]. Available: https://aclanthology.org/2021.findings-acl.324/
2021
Closest in time.
M. Abdul-Mageed, A. A. Elmadany, and E. M. B. Nagoudi, “ARBERT & MARBERT: deep bidirectional transformers for arabic,” in Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics , 2021, p. 7088–7105. [Online]. Available: https://aclanthology.org/2021.acl-long.551.pdf
2021
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