| Learning Bayesian belief networks: An approach based on the MDL principle W Lam, F Bacchus Computational intelligence 10 (3), 269-293, 1994 | 1085 | 1994 |
| MEAD-a platform for multidocument multilingual text summarization DR Radev, T Allison, S Blair-Goldensohn, J Blitzer, A Celebi, S Dimitrov, ... | 366 | 2004 |
| Using a generalized instance set for automatic text categorization W Lam, CY Ho Proceedings of the 21st annual international ACM SIGIR conference on …, 1998 | 288 | 1998 |
| A multilevel approach to intelligent information filtering: model, system, and evaluation J Mostafa, S Mukhopadhyay, M Palakal, W Lam ACM Transactions on Information Systems (TOIS) 15 (4), 368-399, 1997 | 268 | 1997 |
| Fuzzy concepts in expert systems KS Leung, W Lam Computer 21 (9), 43-56, 1988 | 220 | 1988 |
| Automatic text categorization and its application to text retrieval W Lam, M Ruiz, P Srinivasan IEEE Transactions on Knowledge and Data engineering 11 (6), 865-879, 1999 | 199 | 1999 |
| Transformation Networks for Target-Oriented Sentiment Classification X Li, L Bing, W Lam, B Shi ACL, 2018, 2018 | 172 | 2018 |
| Evaluation challenges in large-scale document summarization D Radev, S Teufel, H Saggion, W Lam, J Blitzer, H Qi, A Celebi, D Liu, ... Proceedings of the 41st Annual Meeting of the Association for Computational …, 2003 | 169 | 2003 |
| News sensitive stock trend prediction GPC Fung, JX Yu, W Lam Pacific-Asia Conference on Knowledge Discovery and Data Mining, 481-493, 2002 | 165 | 2002 |
| Stock prediction: Integrating text mining approach using real-time news GPC Fung, JX Yu, W Lam 2003 IEEE International Conference on Computational Intelligence for …, 2003 | 150 | 2003 |
| Using evolutionary programming and minimum description length principle for data mining of Bayesian networks ML Wong, W Lam, KS Leung IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (2), 174-178, 1999 | 143 | 1999 |
| Deep recurrent generative decoder for abstractive text summarization P Li, W Lam, L Bing, Z Wang arXiv preprint arXiv:1708.00625, 2017 | 138 | 2017 |
| Second births in western Germany and France K Köppen Demographic research 14, 295-330, 2006 | 132 | 2006 |
| Abstractive multi-document summarization via phrase selection and merging L Bing, P Li, Y Liao, W Lam, W Guo, RJ Passonneau The Annual Meeting of the Association for Computational Linguistics (ACL …, 2015 | 130 | 2015 |
| Detection of shifts in user interests for personalized information filtering W Lam, S Mukhopadhyay, J Mostafa, M Palakal Proceedings of the 19th annual international ACM SIGIR conference on …, 1996 | 115 | 1996 |
| Neural rating regression with abstractive tips generation for recommendation P Li, Z Wang, Z Ren, L Bing, W Lam Proceedings of the 40th International ACM SIGIR conference on Research and …, 2017 | 111 | 2017 |
| Deep multi-task learning for aspect term extraction with memory interaction X Li, W Lam Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 104 | 2017 |
| Discovering useful concept prototypes for classification based on filtering and abstraction W Lam, CK Keung, D Liu IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (8), 1075-1090, 2002 | 101 | 2002 |
| Using causal information and local measures to learn Bayesian networks W Lam, F Bacchus Uncertainty in Artificial Intelligence, 243-250, 1993 | 93 | 1993 |
| Using new data to refine a Bayesian network W Lam, F Bacchus Uncertainty Proceedings 1994, 383-390, 1994 | 88 | 1994 |
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
