| Recurrent attention network on memory for aspect sentiment analysis P Chen, Z Sun, L Bing*, W Yang Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 279 | 2017 |
| Transformation Networks for Target-Oriented Sentiment Classification X Li, L Bing, W Lam, B Shi ACL, 2018 | 126 | 2018 |
| 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 | 124 | 2015 |
| Deep Recurrent Generative Decoder for Abstractive Text Summarization P Li, W Lam, L Bing, Z Wang Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 123 | 2017 |
| Neural Rating Regression with Abstractive Tips Generation for Recommendation P Li, Z Wang, Z Ren, L Bing, W Lam SIGIR, 2017 | 100 | 2017 |
| Aspect Term Extraction with History Attention and Selective Transformation X Li, L Bing, P Li, W Lam, Z Yang IJCAI, 2018 | 46 | 2018 |
| A Unified Model for Opinion Target Extraction and Target Sentiment Prediction X Li, L Bing, P Li, W Lam AAAI, 2019 | 42 | 2019 |
| Reader-Aware Multi-Document Summarization via Sparse Coding P Li, L Bing, W Lam, H Li, Y Liao IJCAI 2015, 1270-1276, 2015 | 42 | 2015 |
| Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context L Bing, W Lam, TL Wong, S Jameel ACM Transactions on Information Systems (TOIS) 33 (2), 6:1--6:38, 2015 | 39 | 2015 |
| Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning L Bing, W Lam, TL Wong Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 35 | 2013 |
| Salience estimation via variational auto-encoders for multi-document summarization P Li, Z Wang, W Lam, Z Ren, L Bing Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 34 | 2017 |
| Towards a unified solution: data record region detection and segmentation L Bing, W Lam, Y Gu Proceedings of the 20th ACM international conference on Information and …, 2011 | 34 | 2011 |
| Actor-critic based training framework for abstractive summarization P Li, L Bing, W Lam arXiv preprint arXiv:1803.11070, 2018 | 33 | 2018 |
| Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists L Bing, S Chaudhari, RC Wang, WW Cohen EMNLP, 2015 | 28 | 2015 |
| Using query log and social tagging to refine queries based on latent topics L Bing, W Lam, TL Wong Proceedings of the 20th ACM international conference on Information and …, 2011 | 27 | 2011 |
| Unsupervised extraction of popular product attributes from e-commerce web sites by considering customer reviews L Bing, TL Wong, W Lam ACM Transactions on Internet Technology (TOIT) 16 (2), 1-17, 2016 | 26 | 2016 |
| Difficulty Controllable Generation of Reading Comprehension Questions Y Gao, L Bing, W Chen, I King, MR Lyu IJCAI, 2019 | 25* | 2019 |
| Variational autoregressive decoder for neural response generation J Du, W Li, Y He, R Xu, L Bing, X Wang Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 24 | 2018 |
| Cascaded attention based unsupervised information distillation for compressive summarization P Li, W Lam, L Bing, W Guo, H Li Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 19 | 2017 |
| Learning Domain-Sensitive and Sentiment-Aware Word Embeddings B Shi, Z Fu, L Bing, W Lam ACL, 2018 | 18 | 2018 |
Wai LamThe Chinese University of Hong KongEmail verificata su se.cuhk.edu.hk
