| Recurrent convolutional neural networks for text classification S Lai, L Xu, K Liu, J Zhao Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 3064 | 2015 |
| Relation classification via convolutional deep neural network D Zeng, K Liu, S Lai, G Zhou, J Zhao Proceedings of COLING 2014, the 25th international conference on …, 2014 | 2135 | 2014 |
| Knowledge graph embedding via dynamic mapping matrix G Ji, S He, L Xu, K Liu, J Zhao Proceedings of the 53rd annual meeting of the association for computational …, 2015 | 1994 | 2015 |
| 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 | 1265 | 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 | 1026 | 2015 |
| Collective entity linking in web text: a graph-based method X Han, L Sun, J Zhao Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 565 | 2011 |
| Knowledge graph completion with adaptive sparse transfer matrix G Ji, K Liu, S He, J Zhao Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 533 | 2016 |
| How to generate a good word embedding S Lai, K Liu, S He, J Zhao IEEE Intelligent Systems 31 (6), 5-14, 2016 | 492 | 2016 |
| Extracting relational facts by an end-to-end neural model with copy mechanism X Zeng, D Zeng, S He, K Liu, J Zhao Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 481 | 2018 |
| Learning to represent knowledge graphs with gaussian embedding S He, K Liu, G Ji, J Zhao Proceedings of the 24th ACM international on conference on information and …, 2015 | 439 | 2015 |
| Distant supervision for relation extraction with sentence-level attention and entity descriptions G Ji, K Liu, S He, J Zhao Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 432 | 2017 |
| An end-to-end model for question answering over knowledge base with cross-attention combining global knowledge Y Hao, Y Zhang, K Liu, S He, Z Liu, H Wu, J Zhao Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 412 | 2017 |
| Named entity disambiguation by leveraging wikipedia semantic knowledge X Han, J Zhao Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 254 | 2009 |
| 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 | 236 | 2017 |
| Self-taught convolutional neural networks for short text clustering J Xu, B Xu, P Wang, S Zheng, G Tian, J Zhao Neural Networks 88, 22-31, 2017 | 236 | 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 | 230 | 2018 |
| Inner attention based recurrent neural networks for answer selection B Wang, K Liu, J Zhao Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 227 | 2016 |
| Learning continuous word embedding with metadata for question retrieval in community question answering G Zhou, T He, J Zhao, P Hu Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 219 | 2015 |
| Finbert: A pre-trained financial language representation model for financial text mining Z Liu, D Huang, K Huang, Z Li, J Zhao Proceedings of the twenty-ninth international conference on international …, 2021 | 206 | 2021 |
| Short text clustering via convolutional neural networks J Xu, P Wang, G Tian, B Xu, J Zhao, F Wang, H Hao Proceedings of the 1st Workshop on Vector Space Modeling for Natural …, 2015 | 202 | 2015 |
Kang LiuInstitute of Automation, Chinese Academy of Sciences在 nlpr.ia.ac.cn 的电子邮件经过验证
