| Choosing transfer languages for cross-lingual learning YH Lin, CY Chen, J Lee, Z Li, Y Zhang, M Xia, S Rijhwani, J He, Z Zhang, ... arXiv preprint arXiv:1905.12688, 2019 | 256 | 2019 |
| On difficulties of cross-lingual transfer with order differences: A case study on dependency parsing WU Ahmad*, Z Zhang*, X Ma, E Hovy, KW Chang, N Peng arXiv preprint arXiv:1811.00570, 2018 | 155 | 2018 |
| A survey of active learning for natural language processing Z Zhang, E Strubell, E Hovy arXiv preprint arXiv:2210.10109, 2022 | 109 | 2022 |
| Fast and accurate neural word segmentation for Chinese D Cai, H Zhao, Z Zhang, Y Xin, Y Wu, F Huang arXiv preprint arXiv:1704.07047, 2017 | 109 | 2017 |
| Adversarial connective-exploiting networks for implicit discourse relation classification L Qin, Z Zhang, H Zhao, Z Hu, EP Xing arXiv preprint arXiv:1704.00217, 2017 | 107 | 2017 |
| A two-step approach for implicit event argument detection Z Zhang, X Kong, Z Liu, X Ma, E Hovy Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 80 | 2020 |
| A stacking gated neural architecture for implicit discourse relation classification L Qin, Z Zhang, H Zhao Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 79 | 2016 |
| Probabilistic graph-based dependency parsing with convolutional neural network Z Zhang, H Zhao, L Qin Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 64 | 2016 |
| Cross-lingual dependency parsing with unlabeled auxiliary languages WU Ahmad, Z Zhang, X Ma, KW Chang, N Peng arXiv preprint arXiv:1909.09265, 2019 | 45 | 2019 |
| Implicit discourse relation recognition with context-aware character-enhanced embeddings L Qin, Z Zhang, H Zhao Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 44 | 2016 |
| Shallow discourse parsing using convolutional neural network L Qin, Z Zhang, H Zhao Proceedings of the CoNLL-16 shared task, 70-77, 2016 | 40 | 2016 |
| A thorough examination of decoding methods in the era of llms C Shi, H Yang, D Cai, Z Zhang, Y Wang, Y Yang, W Lam arXiv preprint arXiv:2402.06925, 2024 | 34 | 2024 |
| Neural character-level dependency parsing for Chinese H Li, Z Zhang, Y Ju, H Zhao Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 33 | 2018 |
| Cross-lingual syntactic transfer through unsupervised adaptation of invertible projections J He, Z Zhang, T Berg-Kirkpatrick, G Neubig arXiv preprint arXiv:1906.02656, 2019 | 28 | 2019 |
| Neural polysynthetic language modelling L Schwartz, F Tyers, L Levin, C Kirov, P Littell, C Lo, E Prud'hommeaux, ... arXiv preprint arXiv:2005.05477, 2020 | 22 | 2020 |
| Incorporating a local translation mechanism into non-autoregressive translation X Kong, Z Zhang, E Hovy arXiv preprint arXiv:2011.06132, 2020 | 20 | 2020 |
| Self-playing adversarial language game enhances llm reasoning P Cheng, T Hu, H Xu, Z Zhang, Y Dai, L Han, X Li Advances in Neural Information Processing Systems 37, 126515-126543, 2025 | 19 | 2025 |
| Exploring recombination for efficient decoding of neural machine translation Z Zhang, R Wang, M Utiyama, E Sumita, H Zhao Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 18 | 2018 |
| SOURCE: SOURce-conditional elmo-style model for machine translation quality estimation J Zhou, Z Zhang, Z Hu Proceedings of the Fourth Conference on Machine Translation (Volume 3 …, 2019 | 12 | 2019 |
| An empirical investigation of structured output modeling for graph-based neural dependency parsing Z Zhang, X Ma, E Hovy Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 12 | 2019 |
