Yong Dai
Yong Dai
Tencent AI Lab
Verified email at - Homepage
Cited by
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Adversarial training based multi-source unsupervised domain adaptation for sentiment analysis
Y Dai, J Liu, X Ren, Z Xu
Proceedings of the AAAI conference on artificial intelligence 34 (05), 7618-7625, 2020
Remote sensing images super-resolution based on sparse dictionaries and residual dictionaries
Y Zhang, W Wu, Y Dai, X Yang, B Yan, W Lu
2013 IEEE 11th International Conference on Dependable, Autonomic and Secure …, 2013
Contextualize knowledge bases with transformer for end-to-end task-oriented dialogue systems
Y Gou, Y Lei, L Liu, Y Dai, C Shen
EMNLP 2021, 2020
Graph fusion network for text classification
Y Dai, L Shou, M Gong, X Xia, Z Kang, Z Xu, D Jiang
Knowledge-Based Systems 236, 107659, 2022
One model, multiple modalities: A sparsely activated approach for text, sound, image, video and code
Y Dai, D Tang, L Liu, M Tan, C Zhou, J Wang, Z Feng, F Zhang, X Hu, ...
arXiv preprint arXiv:2205.06126, 2022
Unsupervised sentiment analysis by transferring multi-source knowledge
Y Dai, J Liu, J Zhang, H Fu, Z Xu
Cognitive Computation 13, 1185-1197, 2021
" Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction
Y Dai*, L Li*, C Zhou*, Z Feng, E Zhao, X Qiu, P Li, D Tang
Findings of ACL 2022, arXiv preprint arXiv:2203.00286, 2022
A two-stage multi-task learning-based method for selective unsupervised domain adaptation
Y Dai, J Zhang, S Yuan, Z Xu
2019 International Conference on Data Mining Workshops (ICDMW), 863-868, 2019
Skillnet-nlu: A sparsely activated model for general-purpose natural language understanding
F Zhang, D Tang, Y Dai, C Zhou, S Wu, S Shi
arXiv e-prints, arXiv: 2203.03312, 2022
Creating and evaluating resources for sentiment analysis in the low-resource language: Sindhi
W Ali, N Ali, Y Dai, J Kumar, S Tumrani, Z Xu
Proceedings of the Eleventh Workshop on Computational Approaches To …, 2021
MarkBERT: Marking Word Boundaries Improves Chinese BERT
L Li, Y Dai, D Tang, Z Feng, C Zhou, X Qiu, Z Xu, S Shi
arXiv preprint arXiv:2203.06378, 2022
Neural Joint Model for Part-of-Speech Tagging and Entity Extraction
W Ali, R Kumar, Y Dai, J Kumar, S Tumrani
2021 13th International Conference on Machine Learning and Computing, 239-245, 2021
陈林, 夏秀渝, 代勇, 周宁
四川大学学报: 自然科学版, 991-997, 2013
Exploring and Adapting Chinese GPT to Pinyin Input Method
M Tan*, Y Dai*, D Tang, Z Feng, G Huang, J Jiang, J Li, S Shi
ACL 2022, arXiv preprint arXiv:2203.00249, 2022
代勇, 夏秀渝, 陈林, 叶于林
四川大学学报: 工程科学版, 166-170, 2014
代勇, 夏秀渝, 陈林
电子技术应用 39 (11), 107-110, 2013
Dynamic Mixture of Counter Network for Location-Agnostic Crowd Counting
M Wang, H Cai, Y Dai, M Gong
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
Z Zhang, Y Yang, Y Dai, L Qu, Z Xu
arXiv preprint arXiv:2212.10025, 2022
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering
Y Li, P Wang, Y Wang, Y Dai, Y Wang, L Pan, Z Xu
Findings of the Association for Computational Linguistics: EMNLP 2022, 1352-1364, 2022
Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction
Y Gou, Y Lei, L Liu, Y Dai, C Shen, Y Tong
arXiv preprint arXiv:2208.09617, 2022
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