A Unified Model for Opinion Target Extraction and Target Sentiment Prediction X Li, L Bing, P Li, W Lam AAAI 2019, 2019 | 342 | 2019 |
Neural Rating Regression with Abstractive Tips Generation for Recommendation P Li, Z Wang, Z Ren, L Bing, W Lam SIGIR 2017, 2017 | 324 | 2017 |
Aspect Term Extraction with History Attention and Selective Transformation X Li, L Bing, P Li, W Lam, Z Yang IJCAI 2018, 2018 | 266 | 2018 |
Deep Recurrent Generative Decoder for Abstractive Text Summarization P Li, W Lam, L Bing, Z Wang EMNLP 2017, 2017 | 260 | 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 | 192 | 2015 |
Social Collaborative Viewpoint Regression with Explainable Recommendations Z Ren, S Liang, P Li, S Wang, M de Rijke WSDM 2017, 2017 | 170 | 2017 |
Knowledge Bridging for Empathetic Dialogue Generation Q Li, P Li, Z Ren, Z Chen AAAI 2022, 2022 | 118* | 2022 |
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding D Wang, N Ding, P Li, HT Zheng ACL 2021, 2021 | 118 | 2021 |
Exclusive Hierarchical Decoding for Deep Keyphrase Generation W Chen, HP Chan, P Li, I King ACL 2020, 2020 | 79 | 2020 |
Generating Distractors for Reading Comprehension Questions from Real Examinations Y Gao, L Bing, P Li, I King, MR Lyu AAAI 2019, 2019 | 66 | 2019 |
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 | 65 | 2017 |
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 | 63 | 2019 |
Storytelling from an Image Stream Using Scene Graphs R Wang, Z Wei, P Li, Q Zhang, X Huang AAAI 2020, 2020 | 62 | 2020 |
Abstractive Text Summarization by Incorporating Reader Comments S Gao, X Chen, P Li, L Bing, Z Ren, D Zhao, R Yan AAAI 2019, 2019 | 62 | 2019 |
Actor-Critic based Training Framework for Abstractive Summarization P Li, L Bing, W Lam arXiv preprint arXiv:1803.11070, 2018 | 62 | 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 |
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 | 57 | 2020 |
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling Y Gao, P Li, I King, MR Lyu ACL 2019, 2019 | 56 | 2019 |
A Question Type Driven Framework to Diversify Visual Question Generation Z Fan, Z Wei, P Li, Y Lan, X Huang IJCAI 2018, 2018 | 55 | 2018 |
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization P Li, W Lam, L Bing, W Guo, H Li EMNLP 2017, 2017 | 50 | 2017 |