| Deep learning for event-driven stock prediction X Ding, Y Zhang, T Liu, J Duan Twenty-fourth international joint conference on artificial intelligence, 2015 | 1013 | 2015 |
| Chinese NER using lattice LSTM Y Zhang, J Yang arXiv preprint arXiv:1805.02023, 2018 | 899 | 2018 |
| A survey on evaluation of large language models Y Chang, X Wang, J Wang, Y Wu, L Yang, K Zhu, H Chen, X Yi, C Wang, ... ACM Transactions on Intelligent Systems and Technology, 2023 | 748 | 2023 |
| Target-dependent twitter sentiment classification with rich automatic features DT Vo, Y Zhang Twenty-fourth international joint conference on artificial intelligence, 2015 | 434 | 2015 |
| Transition-based dependency parsing with rich non-local features Y Zhang, J Nivre Proceedings of the 49th annual meeting of the association for computational …, 2011 | 427 | 2011 |
| A tale of two parsers: Investigating and combining graph-based and transition-based dependency parsing Y Zhang, S Clark Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008 | 378 | 2008 |
| Using structured events to predict stock price movement: An empirical investigation X Ding, Y Zhang, T Liu, J Duan Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 334 | 2014 |
| Gated neural networks for targeted sentiment analysis M Zhang, Y Zhang, DT Vo Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 311 | 2016 |
| Template-based named entity recognition using BART L Cui, Y Wu, J Liu, S Yang, Y Zhang arXiv preprint arXiv:2106.01760, 2021 | 310 | 2021 |
| A graph-to-sequence model for AMR-to-text generation L Song, Y Zhang, Z Wang, D Gildea arXiv preprint arXiv:1805.02473, 2018 | 287 | 2018 |
| Attention-based recurrent convolutional neural network for automatic essay scoring F Dong, Y Zhang, J Yang Proceedings of the 21st conference on computational natural language …, 2017 | 284 | 2017 |
| Sentence-state LSTM for text representation Y Zhang, Q Liu, L Song arXiv preprint arXiv:1805.02474, 2018 | 279 | 2018 |
| Syntactic processing using the generalized perceptron and beam search Y Zhang, S Clark Computational linguistics 37 (1), 105-151, 2011 | 268 | 2011 |
| Fast and accurate shift-reduce constituent parsing M Zhu, Y Zhang, W Chen, M Zhang, J Zhu Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 263 | 2013 |
| Attention modeling for targeted sentiment J Liu, Y Zhang Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 261 | 2017 |
| NCRF++: An open-source neural sequence labeling toolkit J Yang, Y Zhang arXiv preprint arXiv:1806.05626, 2018 | 227 | 2018 |
| N-ary relation extraction using graph state lstm L Song, Y Zhang, Z Wang, D Gildea arXiv preprint arXiv:1808.09101, 2018 | 216 | 2018 |
| Tweet sarcasm detection using deep neural network M Zhang, Y Zhang, G Fu Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 209 | 2016 |
| Design challenges and misconceptions in neural sequence labeling J Yang, S Liang, Y Zhang arXiv preprint arXiv:1806.04470, 2018 | 202 | 2018 |
| End-to-end neural relation extraction with global optimization M Zhang, Y Zhang, G Fu Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 201 | 2017 |
Meishan ZhangAssociate Professor, Harbin Institute of Technology at Shenzhen在 hit.edu.cn 的电子邮件经过验证
