| Dureader: a chinese machine reading comprehension dataset from real-world applications W He, K Liu, J Liu, Y Lyu, S Zhao, X Xiao, Y Liu, Y Wang, H Wu, Q She, ... arXiv preprint arXiv:1711.05073, 2017 | 257 | 2017 |
| Improving statistical machine translation performance by training data selection and optimization Y Lü, J Huang, Q Liu Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007 | 168 | 2007 |
| Answer-focused and position-aware neural question generation X Sun, J Liu, Y Lyu, W He, Y Ma, S Wang Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 154 | 2018 |
| Enhancing pre-trained language representations with rich knowledge for machine reading comprehension A Yang, Q Wang, J Liu, K Liu, Y Lyu, H Wu, Q She, S Li Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 142 | 2019 |
| A cascaded linear model for joint chinese word segmentation and part-of-speech tagging W Jiang, L Huang, Q Liu, Y Lü Proceedings of ACL-08: HLT, 897-904, 2008 | 137 | 2008 |
| Improving statistical machine translation using domain bilingual multiword expressions Z Ren, Y Lü, J Cao, Q Liu, Y Huang Proceedings of the Workshop on Multiword Expressions: Identification …, 2009 | 124 | 2009 |
| Joint extraction of entities and overlapping relations using position-attentive sequence labeling D Dai, X Xiao, Y Lyu, S Dou, Q She, H Wang Proceedings of the AAAI conference on artificial intelligence 33 (01), 6300-6308, 2019 | 111 | 2019 |
| Multi-passage machine reading comprehension with cross-passage answer verification Y Wang, K Liu, J Liu, W He, Y Lyu, H Wu, S Li, H Wang arXiv preprint arXiv:1805.02220, 2018 | 111 | 2018 |
| Improving tree-to-tree translation with packed forests Y Liu, Y Lü, Q Liu Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009 | 103 | 2009 |
| Event extraction as multi-turn question answering F Li, W Peng, Y Chen, Q Wang, L Pan, Y Lyu, Y Zhu Findings of the Association for Computational Linguistics: EMNLP 2020, 829-838, 2020 | 85 | 2020 |
| Coke: Contextualized knowledge graph embedding Q Wang, P Huang, H Wang, S Dai, W Jiang, J Liu, Y Lyu, Y Zhu, H Wu arXiv preprint arXiv:1911.02168, 2019 | 81 | 2019 |
| Entity structure within and throughout: Modeling mention dependencies for document-level relation extraction B Xu, Q Wang, Y Lyu, Y Zhu, Z Mao Proceedings of the AAAI conference on artificial intelligence 35 (16), 14149 …, 2021 | 74 | 2021 |
| A new approach for English-Chinese named entity alignment DH Feng, YJ Lv, M Zhou | 70 | 2004 |
| Improving neural abstractive document summarization with explicit information selection modeling W Li, X Xiao, Y Lyu, Y Wang Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 65 | 2018 |
| Collocation translation acquisition using monolingual corpora Y Lü, M Zhou Proceedings of the 42nd Annual Meeting of the Association for Computational …, 2004 | 53 | 2004 |
| 基于分解与动态规划策略的汉语未登录词识别 吕雅娟， 赵铁军， 杨沐昀， 于浩， 李生 中文信息学报 15 (1), 28-33, 2001 | 48 | 2001 |
| Joint training of candidate extraction and answer selection for reading comprehension Z Wang, J Liu, X Xiao, Y Lyu, T Wu arXiv preprint arXiv:1805.06145, 2018 | 39 | 2018 |
| Machine reading comprehension using structural knowledge graph-aware network D Qiu, Y Zhang, X Feng, X Liao, W Jiang, Y Lyu, K Liu, J Zhao Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 38 | 2019 |
| Improving neural abstractive document summarization with structural regularization W Li, X Xiao, Y Lyu, Y Wang Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 36 | 2018 |
| Discriminative learning with natural annotations: Word segmentation as a case study W Jiang, M Sun, Y Lü, Y Yang, Q Liu Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 35 | 2013 |
Qun LiuNoah's Ark Lab, HuaweiVerified email at huawei.com
