| A Unified Model for Opinion Target Extraction and Target Sentiment Prediction X Li, L Bing, P Li, W Lam AAAI 2019, 2019 | 394 | 2019 |
| Neural Rating Regression with Abstractive Tips Generation for Recommendation P Li, Z Wang, Z Ren, L Bing, W Lam SIGIR 2017, 2017 | 350 | 2017 |
| Aspect Term Extraction with History Attention and Selective Transformation X Li, L Bing, P Li, W Lam, Z Yang IJCAI 2018, 2018 | 292 | 2018 |
| Deep Recurrent Generative Decoder for Abstractive Text Summarization P Li, W Lam, L Bing, Z Wang EMNLP 2017, 2017 | 274 | 2017 |
| Abstractive Multi-Document Summarization via Phrase Selection and Merging L Bing, P Li, Y Liao, W Lam, W Guo, RJ Passonneau ACL 2015, 1587-1597, 2015 | 201 | 2015 |
| Social Collaborative Viewpoint Regression with Explainable Recommendations Z Ren, S Liang, P Li, S Wang, M de Rijke WSDM 2017, 2017 | 179 | 2017 |
| Knowledge Bridging for Empathetic Dialogue Generation Q Li, P Li, Z Ren, Z Chen AAAI 2022, 2022 | 166* | 2022 |
| CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding D Wang, N Ding, P Li, HT Zheng ACL 2021, 2021 | 128 | 2021 |
| Exclusive Hierarchical Decoding for Deep Keyphrase Generation W Chen, HP Chan, P Li, I King ACL 2020, 2020 | 86 | 2020 |
| Generating Distractors for Reading Comprehension Questions from Real Examinations Y Gao, L Bing, P Li, I King, MR Lyu AAAI 2019, 2019 | 81 | 2019 |
| Abstractive Text Summarization by Incorporating Reader Comments S Gao, X Chen, P Li, L Bing, Z Ren, D Zhao, R Yan AAAI 2019, 2019 | 73 | 2019 |
| Storytelling from an Image Stream Using Scene Graphs R Wang, Z Wei, P Li, Q Zhang, X Huang AAAI 2020, 2020 | 71 | 2020 |
| An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction W Chen, HP Chan, P Li, L Bing, I King NAACL 2019, 2019 | 69 | 2019 |
| Actor-Critic based Training Framework for Abstractive Summarization P Li, L Bing, W Lam arXiv preprint arXiv:1803.11070, 2018 | 69 | 2018 |
| Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization P Li, Z Wang, W Lam, Z Ren, L Bing AAAI 2017: The Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 67 | 2017 |
| Rigid formats controlled text generation P Li, H Zhang, X Liu, S Shi Proceedings of the 58th annual meeting of the association for computational …, 2020 | 65 | 2020 |
| Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling Y Gao, P Li, I King, MR Lyu ACL 2019, 2019 | 59 | 2019 |
| A Question Type Driven Framework to Diversify Visual Question Generation Z Fan, Z Wei, P Li, Y Lan, X Huang IJCAI 2018, 2018 | 59 | 2018 |
| Reader-Aware Multi-Document Summarization via Sparse Coding P Li, L Bing, W Lam, H Li, Y Liao IJCAI, 1270-1276, 2015 | 58 | 2015 |
| Non-Autoregressive Text Generation with Pre-trained Language Models Y Su, D Cai, Y Wang, D Vandyke, S Baker, P Li, N Collier EACL 2021, 2021 | 52 | 2021 |
Lidong BingShanda Group, Alibaba DAMO, Tencent, CMU, CUHKVerified email at alibaba-inc.com
