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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

M. Lewis, Y. Liu, N. Goyal, M. Ghazvininejad, A. Mohamed, O. Levy, V. Stoyanov, and L. Zettlemoyer. ACL, page 7871-7880. Association for Computational Linguistics, (2020)

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Ivan Stoyanov Stoyanov

Veselin Sarenac

Hristiyan Stoyanov

Veselin Christov

Veselin Brankovi

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Toward Opinion Summarization: Linking the SourcesV. Stoyanov, and C. Cardie. Proceedings of the Workshop on Sentiment and Subjectivity in Text, page 9--14. Sydney, Australia, Association for Computational Linguistics, (July 2006)Bridging the domain gap in cross-lingual document classification.G. Lai, B. Oguz, Y. Yang, and V. Stoyanov. CoRR, (2019)Topic Identification for Fine-Grained Opinion Analysis.V. Stoyanov, and C. Cardie. COLING, page 817-824. (2008)Improving In-Context Few-Shot Learning via Self-Supervised Training.M. Chen, J. Du, R. Pasunuru, T. Mihaylov, S. Iyer, V. Stoyanov, and Z. Kozareva. NAACL-HLT, page 3558-3573. Association for Computational Linguistics, (2022)Self-training Improves Pre-training for Natural Language Understanding.J. Du, E. Grave, B. Gunel, V. Chaudhary, O. Celebi, M. Auli, V. Stoyanov, and A. Conneau. NAACL-HLT, page 5408-5418. Association for Computational Linguistics, (2021)Simple Fusion: Return of the Language Model.F. Stahlberg, J. Cross, and V. Stoyanov. WMT, page 204-211. Association for Computational Linguistics, (2018)SemEval-2015 Task 10: Sentiment Analysis in Twitter.S. Rosenthal, P. Nakov, S. Kiritchenko, S. Mohammad, A. Ritter, and V. Stoyanov. SemEval@NAACL-HLT, page 451-463. The Association for Computer Linguistics, (2015)Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models.P. Hase, M. Diab, A. Celikyilmaz, X. Li, Z. Kozareva, V. Stoyanov, M. Bansal, and S. Iyer. EACL, page 2706-2723. Association for Computational Linguistics, (2023)ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection.B. AlKhamissi, F. Ladhak, S. Iyer, V. Stoyanov, Z. Kozareva, X. Li, P. Fung, L. Mathias, A. Celikyilmaz, and M. Diab. EMNLP, page 2109-2120. Association for Computational Linguistics, (2022)Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models.M. Xia, M. Artetxe, J. Du, D. Chen, and V. Stoyanov. EMNLP, page 11351-11361. Association for Computational Linguistics, (2022)

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Disambiguation of "Stoyanov, Veselin"

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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Please choose a person to relate this publication to

Ivan Stoyanov Stoyanov

Veselin Sarenac

Hristiyan Stoyanov

Veselin Christov

Veselin Brankovi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Stoyanov, Veselin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Please choose a person to relate this publication to

Ivan Stoyanov Stoyanov

Veselin Sarenac

Hristiyan Stoyanov

Veselin Christov

Veselin Brankovi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.