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ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning.

Y. Qin, Y. Lin, R. Takanobu, Z. Liu, P. Li, H. Ji, M. Huang, M. Sun, and J. Zhou. CoRR, (2020)

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Yankai Huang

Lin Lin

Other publications of authors with the same name

More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction.X. Han, T. Gao, Y. Lin, H. Peng, Y. Yang, C. Xiao, Z. Liu, P. Li, J. Zhou, and M. Sun. AACL/IJCNLP, page 745-758. Association for Computational Linguistics, (2020)Secure Control of Nonlinear Systems Using Semi-Homomorphic Encryption.Y. Lin, F. Farokhi, I. Shames, and D. Nesic. CDC, page 5002-5007. IEEE, (2018)ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning.Y. Qin, Y. Lin, R. Takanobu, Z. Liu, P. Li, H. Ji, M. Huang, M. Sun, and J. Zhou. ACL/IJCNLP (1), page 3350-3363. Association for Computational Linguistics, (2021)Graph Neural Networks with Generated Parameters for Relation Extraction.H. Zhu, Y. Lin, Z. Liu, J. Fu, T. Chua, and M. Sun. ACL (1), page 1331-1339. Association for Computational Linguistics, (2019)On Length Divergence Bias in Textual Matching Models.L. Jiang, T. Lyu, Y. Lin, C. Meng, X. Lyu, and D. Yin. ACL (Findings), page 4187-4193. Association for Computational Linguistics, (2022)Emergent Modularity in Pre-trained Transformers.Z. Zhang, Z. Zeng, Y. Lin, C. Xiao, X. Wang, X. Han, Z. Liu, R. Xie, M. Sun, and J. Zhou. ACL (Findings), page 4066-4083. Association for Computational Linguistics, (2023)Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View.D. Chen, Y. Lin, W. Li, P. Li, J. Zhou, and X. Sun. AAAI, page 3438-3445. AAAI Press, (2020)Adversarial Multi-lingual Neural Relation Extraction.X. Wang, X. Han, Y. Lin, Z. Liu, and M. Sun. COLING, page 1156-1166. Association for Computational Linguistics, (2018)Dynamic Knowledge Distillation for Pre-trained Language Models.L. Li, Y. Lin, S. Ren, P. Li, J. Zhou, and X. Sun. EMNLP (1), page 379-389. Association for Computational Linguistics, (2021)Topology-Imbalance Learning for Semi-Supervised Node Classification.D. Chen, Y. Lin, G. Zhao, X. Ren, P. Li, J. Zhou, and X. Sun. NeurIPS, page 29885-29897. (2021)

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Disambiguation of "Lin, Yankai"

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ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning.

Please choose a person to relate this publication to

Yankai Huang

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lin, Yankai"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning.

Please choose a person to relate this publication to

Yankai Huang

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning.