Obserwuj
Zhiyuan Liu
Tytuł
Cytowane przez
Cytowane przez
Rok
Graph neural networks: A review of methods and applications
J Zhou, G Cui, S Hu, Z Zhang, C Yang, Z Liu, L Wang, C Li, M Sun
AI open 1, 57-81, 2020
61862020
Learning Entity and Relation Embeddings for Knowledge Graph Completion
Y Lin, Z Liu, M Sun, Y Liu, X Zhu
AAAI, 2181-2187, 2015
44002015
ERNIE: Enhanced Language Representation with Informative Entities
Z Zhang, X Han, Z Liu, X Jiang, M Sun, Q Liu
arXiv preprint arXiv:1905.07129, 2019
16902019
Network Representation Learning with Rich Text Information
C Yang, Z Liu, D Zhao, M Sun, EY Chang
IJCAI, 2111-2117, 2015
13402015
Neural Relation Extraction with Selective Attention over Instances
Y Lin, S Shen, Z Liu, H Luan, M Sun
ACL, 2016
12452016
A C-LSTM Neural Network for Text Classification
C Zhou, C Sun, Z Liu, F Lau
arXiv preprint arXiv:1511.08630, 2015
12032015
Representation Learning of Knowledge Graphs with Entity Descriptions
R Xie, Z Liu, J Jia, H Luan, M Sun
AAAI, 2659-2665, 2016
8222016
Modeling relation paths for representation learning of knowledge bases
Y Lin, Z Liu, H Luan, M Sun, S Rao, S Liu
arXiv preprint arXiv:1506.00379, 2015
7882015
Pre-Trained Models: Past, Present and Future
X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, L Zhang, W Han, ...
AI Open, 2021
7572021
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
X Han, H Zhu, P Yu, Z Wang, Y Yao, Z Liu, M Sun
arXiv preprint arXiv:1810.10147, 2018
6862018
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
6682021
Relation Classification via Multi-Level Attention CNNs
L Wang, Z Cao, G de Melo, Z Liu
ACL, 2016
6572016
End-to-end neural ad-hoc ranking with kernel pooling
C Xiong, Z Dai, J Callan, Z Liu, R Power
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
6282017
Parameter-efficient fine-tuning of large-scale pre-trained language models
N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ...
Nature Machine Intelligence 5 (3), 220-235, 2023
614*2023
Topical Word Embeddings
Y Liu, Z Liu, TS Chua, M Sun
AAAI, 2418-2424, 2015
5732015
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Y Yao, D Ye, P Li, X Han, Y Lin, Z Liu, Z Liu, L Huang, J Zhou, M Sun
arXiv preprint arXiv:1906.06127, 2019
5712019
Automatic keyphrase extraction via topic decomposition
Z Liu, W Huang, Y Zheng, M Sun
Proceedings of the 2010 Conference on Empirical Methods in Natural Language …, 2010
5042010
PTR: Prompt tuning with rules for text classification
X Han, W Zhao, N Ding, Z Liu, M Sun
AI Open, 2022
4572022
Clustering to find exemplar terms for keyphrase extraction
Z Liu, P Li, Y Zheng, M Sun
Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009
4352009
Ppt: Pre-trained prompt tuning for few-shot learning
Y Gu, X Han, Z Liu, M Huang
arXiv preprint arXiv:2109.04332, 2021
4222021
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