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 | 7045 | 2020 |
Learning entity and relation embeddings for knowledge graph completion Y Lin, Z Liu, M Sun, Y Liu, X Zhu Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 4690 | 2015 |
ERNIE: Enhanced language representation with informative entities Z Zhang, X Han, Z Liu, X Jiang, M Sun, Q Liu Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 1839 | 2019 |
Network representation learning with rich text information. C Yang, Z Liu, D Zhao, M Sun, EY Chang Proceedings of the 24th International Conference on Artificial Intelligence …, 2015 | 1390 | 2015 |
Neural relation extraction with selective attention over instances Y Lin, S Shen, Z Liu, H Luan, M Sun Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 1272 | 2016 |
Representation learning of knowledge graphs with entity descriptions R Xie, Z Liu, J Jia, H Luan, M Sun Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 861 | 2016 |
Modeling relation paths for representation learning of knowledge bases Y Lin, Z Liu, H Luan, M Sun, S Rao, S Liu Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 807 | 2015 |
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 Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 739 | 2018 |
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 | 680 | 2023 |
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 Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 641 | 2019 |
Topical word embeddings Y Liu, Z Liu, TS Chua, M Sun Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 592 | 2015 |
Ptr: Prompt tuning with rules for text classification X Han, W Zhao, N Ding, Z Liu, M Sun AI Open 3, 182-192, 2022 | 523 | 2022 |
Communicative agents for software development C Qian, X Cong, C Yang, W Chen, Y Su, J Xu, Z Liu, M Sun arXiv preprint arXiv:2307.07924, 2023 | 522 | 2023 |
Minimum risk training for neural machine translation S Shen, Y Cheng, Z He, W He, H Wu, M Sun, Y Liu Proceedings of the 54th Annual Meeting of the Association for Computational …, 2015 | 521 | 2015 |
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 | 514 | 2010 |
Toolllm: Facilitating large language models to master 16000+ real-world apis Y Qin, S Liang, Y Ye, K Zhu, L Yan, Y Lu, Y Lin, X Cong, X Tang, B Qian, ... arXiv preprint arXiv:2307.16789, 2023 | 501 | 2023 |
Word-level textual adversarial attacking as combinatorial optimization Y Zang, F Qi, C Yang, Z Liu, M Zhang, Q Liu, M Sun arXiv preprint arXiv:1910.12196, 2019 | 458 | 2019 |
Iterative Entity Alignment via Joint Knowledge Embeddings. H Zhu, R Xie, Z Liu, M Sun Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017 | 454 | 2017 |
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 | 444 | 2009 |
Openke: An open toolkit for knowledge embedding X Han, S Cao, X Lv, Y Lin, Z Liu, M Sun, J Li Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 434 | 2018 |