| gStore: answering SPARQL queries via subgraph matching L Zou, J Mo, L Chen, MT Özsu, D Zhao Proceedings of the VLDB Endowment 4 (8), 482-493, 2011 | 266 | 2011 |
| Style transfer in text: Exploration and evaluation Z Fu, X Tan, N Peng, D Zhao, R Yan Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 254 | 2018 |
| Semantic relation classification via convolutional neural networks with simple negative sampling K Xu, Y Feng, S Huang, D Zhao arXiv preprint arXiv:1506.07650, 2015 | 236 | 2015 |
| Natural language question answering over RDF: a graph data driven approach L Zou, R Huang, H Wang, JX Yu, W He, D Zhao Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 229 | 2014 |
| Question answering on freebase via relation extraction and textual evidence K Xu, S Reddy, Y Feng, S Huang, D Zhao arXiv preprint arXiv:1603.00957, 2016 | 183 | 2016 |
| gStore: a graph-based SPARQL query engine L Zou, MT Özsu, L Chen, X Shen, R Huang, D Zhao The VLDB journal 23 (4), 565-590, 2014 | 145 | 2014 |
| Plan-and-write: Towards better automatic storytelling L Yao, N Peng, R Weischedel, K Knight, D Zhao, R Yan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7378-7385, 2019 | 104 | 2019 |
| Multi-grained attention network for aspect-level sentiment classification F Fan, Y Feng, D Zhao Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 95 | 2018 |
| Learning to predict charges for criminal cases with legal basis B Luo, Y Feng, J Xu, X Zhang, D Zhao arXiv preprint arXiv:1707.09168, 2017 | 91 | 2017 |
| Answering natural language questions by subgraph matching over knowledge graphs S Hu, L Zou, JX Yu, H Wang, D Zhao IEEE Transactions on Knowledge and Data Engineering 30 (5), 824-837, 2017 | 90 | 2017 |
| Ruber: An unsupervised method for automatic evaluation of open-domain dialog systems C Tao, L Mou, D Zhao, R Yan Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 89 | 2018 |
| Answering natural language questions via phrasal semantic parsing K Xu, S Zhang, Y Feng, D Zhao CCF International Conference on Natural Language Processing and Chinese …, 2014 | 87 | 2014 |
| Processing SPARQL queries over distributed RDF graphs P Peng, L Zou, MT Özsu, L Chen, D Zhao The VLDB Journal 25 (2), 243-268, 2016 | 83 | 2016 |
| How to make context more useful? an empirical study on context-aware neural conversational models Z Tian, R Yan, L Mou, Y Song, Y Feng, D Zhao Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 82 | 2017 |
| Two are better than one: An ensemble of retrieval-and generation-based dialog systems Y Song, R Yan, X Li, D Zhao, M Zhang arXiv preprint arXiv:1610.07149, 2016 | 69 | 2016 |
| Semantic SPARQL similarity search over RDF knowledge graphs W Zheng, L Zou, W Peng, X Yan, S Song, D Zhao Proceedings of the VLDB Endowment 9 (11), 840-851, 2016 | 69 | 2016 |
| Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism. C Tao, S Gao, M Shang, W Wu, D Zhao, R Yan IJCAI, 4418-4424, 2018 | 65 | 2018 |
| Towards implicit content-introducing for generative short-text conversation systems L Yao, Y Zhang, Y Feng, D Zhao, R Yan Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 65 | 2017 |
| Efficient graph similarity search over large graph databases W Zheng, L Zou, X Lian, D Wang, D Zhao IEEE Transactions on Knowledge and Data Engineering 27 (4), 964-978, 2014 | 61 | 2014 |
| Multi-representation fusion network for multi-turn response selection in retrieval-based chatbots C Tao, W Wu, C Xu, W Hu, D Zhao, R Yan Proceedings of the twelfth ACM international conference on web search and …, 2019 | 59 | 2019 |
Rui Yan (严睿)Renmin University of China. Previously with Peking U. and UPennVerified email at seas.upenn.edu
