| Distant supervision for relation extraction via piecewise convolutional neural networks D Zeng, K Liu, Y Chen, J Zhao Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 1312 | 2015 |
| Event extraction via dynamic multi-pooling convolutional neural networks Y Chen, L Xu, K Liu, D Zeng, J Zhao Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 1078 | 2015 |
| Event extraction as machine reading comprehension J Liu, Y Chen, K Liu, W Bi, X Liu Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 318 | 2020 |
| Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms S Liu, Y Chen, K Liu, J Zhao Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 246 | 2017 |
| Adversarial transfer learning for Chinese named entity recognition with self-attention mechanism P Cao, Y Chen, K Liu, J Zhao, S Liu Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 237 | 2018 |
| Dcfee: A document-level chinese financial event extraction system based on automatically labeled training data H Yang, Y Chen, K Liu, Y Xiao, J Zhao Proceedings of ACL 2018, System Demonstrations, 50-55, 2018 | 195 | 2018 |
| Automatically Labeled Data Generation for Large Scale Event Extraction Y Chen, S Liu, X Zhang, K Liu, J Zhao ACL 2017, 2017 | 194 | 2017 |
| Leverage lexical knowledge for Chinese named entity recognition via collaborative graph network D Sui, Y Chen, K Liu, J Zhao, S Liu Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 168 | 2019 |
| Leveraging FrameNet to Improve Automatic Event Detection S Liu, Y Chen, S He, K Liu, J Zhao Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 154 | 2016 |
| Event detection via gated multilingual attention mechanism J Liu, Y Chen, K Liu, J Zhao Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 149 | 2018 |
| Joint entity and relation extraction with set prediction networks D Sui, X Zeng, Y Chen, K Liu, J Zhao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 143 | 2023 |
| Collective event detection via a hierarchical and bias tagging networks with gated multi-level attention mechanisms Y Chen, H Yang, K Liu, J Zhao, Y Jia Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 133 | 2018 |
| HyperCore: Hyperbolic and co-graph representation for automatic ICD coding P Cao, Y Chen, K Liu, J Zhao, S Liu, W Chong Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 113 | 2020 |
| Feded: Federated learning via ensemble distillation for medical relation extraction D Sui, Y Chen, J Zhao, Y Jia, Y Xie, W Sun Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 100 | 2020 |
| Knowledge enhanced event causality identification with mention masking generalizations J Liu, Y Chen, J Zhao Proceedings of the twenty-ninth international conference on international …, 2021 | 79 | 2021 |
| Mining opinion words and opinion targets in a two-stage framework L Xu, K Liu, S Lai, Y Chen, J Zhao Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 79 | 2013 |
| Curriculum Learning for Natural Answer Generation. C Liu, S He, K Liu, J Zhao IJCAI, 4223-4229, 2018 | 78 | 2018 |
| Exploiting the ground-truth: An adversarial imitation based knowledge distillation approach for event detection J Liu, Y Chen, K Liu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6754-6761, 2019 | 73 | 2019 |
| KnowDis: Knowledge enhanced data augmentation for event causality detection via distant supervision X Zuo, Y Chen, K Liu, J Zhao arXiv preprint arXiv:2010.10833, 2020 | 63 | 2020 |
| Document-level event extraction via parallel prediction networks H Yang, D Sui, Y Chen, K Liu, J Zhao, T Wang Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 62 | 2021 |
Kang Liu (刘康)Institute of Automation, Chinese Academy of Sciences在 nlpr.ia.ac.cn 的电子邮件经过验证
