Author of the publication

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

Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning.

Z. Zeng, K. He, Y. Yan, Z. Liu, Y. Wu, H. Xu, H. Jiang, and W. Xu. ACL/IJCNLP (2), page 870-878. Association for Computational Linguistics, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yan Yan

Shanshan Yan

Americanization in China: an analysis of General Motors and its strategies in ChinaS. Yan. Uni Mainz, (2009)

Yan Xu

Untersuchungen zur Verleimung von Holz und Holzspanplatten mit UF-Leimharzen und PMDIY. Xu. TU Braunschweig, (2009)

Yan Xu

Yan Zhang

Other publications of authors with the same name

ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer.Y. Yan, R. Li, S. Wang, F. Zhang, W. Wu, and W. Xu. ACL/IJCNLP (1), page 5065-5075. Association for Computational Linguistics, (2021)Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages.K. He, Y. Yan, and W. Xu. IJCNN, page 1-8. IEEE, (2020)Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning.Z. Zeng, K. He, Y. Yan, Z. Liu, Y. Wu, H. Xu, H. Jiang, and W. Xu. ACL/IJCNLP (2), page 870-878. Association for Computational Linguistics, (2021)Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement.Z. Yang, F. Meng, Y. Yan, and J. Zhou. ACL (Findings), page 2012-2025. Association for Computational Linguistics, (2023)Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling.L. Wang, X. Li, J. Liu, K. He, Y. Yan, and W. Xu. EMNLP (1), page 9474-9480. Association for Computational Linguistics, (2021)Boosting Low-Resource Intent Detection with in-Scope Prototypical Networks.H. Lin, Y. Yan, and G. Chen. ICASSP, page 7623-7627. IEEE, (2021)Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models.Y. Yan, R. Li, S. Wang, H. Zhang, D. Zan, F. Zhang, W. Wu, and W. Xu. EMNLP (1), page 3653-3660. Association for Computational Linguistics, (2021)Multi-Level Cross-Lingual Transfer Learning With Language Shared and Specific Knowledge for Spoken Language Understanding.K. He, W. Xu, and Y. Yan. IEEE Access, (2020)Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection.Z. Liu, Y. Yan, K. He, S. Liu, H. Xu, and W. Xu. IJCNN, page 1-7. IEEE, (2021)A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization.Y. Lei, F. Zheng, Y. Yan, K. He, and W. Xu. EMNLP (Findings), page 1354-1364. Association for Computational Linguistics, (2021)

BibSonomy

Disambiguation of "Yan, Yuanmeng"

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

Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning.

Please choose a person to relate this publication to

Yan Yan

Shanshan Yan

Yan Xu

Yan Xu

Yan Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yan, Yuanmeng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning.

Please choose a person to relate this publication to

Yan Yan

Shanshan Yan

Yan Xu

Yan Xu

Yan Zhang

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

Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning.