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Tianyu Gao
Tianyu Gao
在 princeton.edu 的电子邮件经过验证 - 首页
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Simcse: Simple contrastive learning of sentence embeddings
T Gao, X Yao, D Chen
arXiv preprint arXiv:2104.08821, 2021
3522021
Making pre-trained language models better few-shot learners
T Gao, A Fisch, D Chen
arXiv preprint arXiv:2012.15723, 2020
2902020
Hybrid attention-based prototypical networks for noisy few-shot relation classification
T Gao, X Han, Z Liu, M Sun
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6407-6414, 2019
1692019
KEPLER: A unified model for knowledge embedding and pre-trained language representation
X Wang, T Gao, Z Zhu, Z Zhang, Z Liu, J Li, J Tang
Transactions of the Association for Computational Linguistics 9, 176-194, 2021
1662021
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
T Gao, X Han, H Zhu, Z Liu, P Li, M Sun, J Zhou
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
1072019
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
X Han, T Gao, Y Yao, D Ye, Z Liu, M Sun
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
822019
Learning from context or names? An empirical study on neural relation extraction
H Peng, T Gao, X Han, Y Lin, P Li, Z Liu, M Sun, J Zhou
arXiv preprint arXiv:2010.01923, 2020
612020
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, M Sun, J Zhou
arXiv preprint arXiv:2004.03186, 2020
482020
Neural snowball for few-shot relation learning
T Gao, X Han, R Xie, Z Liu, F Lin, L Lin, M Sun
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7772-7779, 2020
382020
Few-shot relation extraction via bayesian meta-learning on relation graphs
M Qu, T Gao, LP Xhonneux, J Tang
International conference on machine learning, 7867-7876, 2020
362020
Continual relation learning via episodic memory activation and reconsolidation
X Han, Y Dai, T Gao, Y Lin, Z Liu, P Li, M Sun, J Zhou
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
272020
Meta-information guided meta-learning for few-shot relation classification
B Dong, Y Yao, R Xie, T Gao, X Han, Z Liu, F Lin, L Lin, M Sun
Proceedings of the 28th International Conference on Computational …, 2020
92020
Manual evaluation matters: reviewing test protocols of distantly supervised relation extraction
T Gao, X Han, K Qiu, Y Bai, Z Xie, Y Lin, Z Liu, P Li, M Sun, J Zhou
arXiv preprint arXiv:2105.09543, 2021
52021
Should You Mask 15% in Masked Language Modeling?
A Wettig, T Gao, Z Zhong, D Chen
arXiv preprint arXiv:2202.08005, 2022
32022
Ditch the gold standard: Re-evaluating conversational question answering
H Li, T Gao, M Goenka, D Chen
arXiv preprint arXiv:2112.08812, 2021
12021
Recovering Private Text in Federated Learning of Language Models
S Gupta, Y Huang, Z Zhong, T Gao, K Li, D Chen
arXiv preprint arXiv:2205.08514, 2022
2022
More data, more relations, more context and more openness: A review and outlook for relation extraction Open Website
X Han, T Gao, Y Lin, H Peng
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction Open Website
X Han, T Gao, Y Yao, D Ye, Z Liu, M Sun
KEPLER: A unified model for knowledge embedding and pre-trained language representation Open Website
X Wang, T Gao, Z Zhu, Z Zhang, Z Liu, J Li, J Tang
Learning from context or names? an empirical study on neural relation extraction Open Website
H Peng, T Gao, X Han, Y Lin, P Li, Z Liu, M Sun, J Zhou
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