| A neural joint model for entity and relation extraction from biomedical text F Li, M Zhang, G Fu, D Ji BMC bioinformatics 18, 1-11, 2017 | 335 | 2017 |
| Gated neural networks for targeted sentiment analysis M Zhang, Y Zhang, DT Vo Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 318 | 2016 |
| Unified named entity recognition as word-word relation classification J Li, H Fei, J Liu, S Wu, M Zhang, C Teng, D Ji, F Li proceedings of the AAAI conference on artificial intelligence 36 (10), 10965 …, 2022 | 294 | 2022 |
| Zero-shot information extraction via chatting with chatgpt X Wei, X Cui, N Cheng, X Wang, X Zhang, S Huang, P Xie, J Xu, Y Chen, ... arXiv preprint arXiv:2302.10205, 2023 | 257 | 2023 |
| Tweet sarcasm detection using deep neural network M Zhang, Y Zhang, G Fu Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 217 | 2016 |
| 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 | 210 | 2017 |
| Neural networks for open domain targeted sentiment M Zhang, Y Zhang, DT Vo Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 209 | 2015 |
| Context-sensitive twitter sentiment classification using neural network Y Ren, Y Zhang, M Zhang, D Ji Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 197 | 2016 |
| Transition-based neural word segmentation M Zhang, Y Zhang, G Fu Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 141 | 2016 |
| Cross-lingual semantic role labeling with high-quality translated training corpus H Fei, M Zhang, D Ji arXiv preprint arXiv:2004.06295, 2020 | 123 | 2020 |
| A span-based model for joint overlapped and discontinuous named entity recognition F Li, ZC Lin, M Zhang, D Ji arXiv preprint arXiv:2106.14373, 2021 | 116 | 2021 |
| Improving twitter sentiment classification using topic-enriched multi-prototype word embeddings Y Ren, Y Zhang, M Zhang, D Ji Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 106 | 2016 |
| Lasuie: Unifying information extraction with latent adaptive structure-aware generative language model H Fei, S Wu, J Li, B Li, F Li, L Qin, M Zhang, M Zhang, TS Chua Advances in Neural Information Processing Systems 35, 15460-15475, 2022 | 105 | 2022 |
| Chinese parsing exploiting characters M Zhang, Y Zhang, W Che, T Liu Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 91 | 2013 |
| Matching structure for dual learning H Fei, S Wu, Y Ren, M Zhang international conference on machine learning, 6373-6391, 2022 | 90 | 2022 |
| Transition-based neural RST parsing with implicit syntax features N Yu, M Zhang, G Fu Proceedings of the 27th International Conference on Computational …, 2018 | 89 | 2018 |
| Combining discrete and neural features for sequence labeling J Yang, Z Teng, M Zhang, Y Zhang Computational Linguistics and Intelligent Text Processing: 17th …, 2018 | 89 | 2018 |
| Character-level chinese dependency parsing M Zhang, Y Zhang, W Che, T Liu Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 88 | 2014 |
| HiTrans: A transformer-based context-and speaker-sensitive model for emotion detection in conversations J Li, D Ji, F Li, M Zhang, Y Liu Proceedings of the 28th international conference on computational …, 2020 | 80 | 2020 |
| Towards general text embeddings with multi-stage contrastive learning Z Li, X Zhang, Y Zhang, D Long, P Xie, M Zhang arXiv preprint arXiv:2308.03281, 2023 | 75 | 2023 |
Yue ZhangWestlake UniversityDirección de correo verificada de wias.org.cn
