| Learning Bayesian belief networks: An approach based on the MDL principle W Lam, F Bacchus Computational intelligence 10 (3), 269-293, 1994 | 1163 | 1994 |
| MEAD-a platform for multidocument multilingual text summarization DR Radev, T Allison, S Blair-Goldensohn, J Blitzer, A Celebi, S Dimitrov, ... | 413 | 2004 |
| Transformation Networks for Target-Oriented Sentiment Classification X Li, L Bing, W Lam, B Shi ACL, 2018, 2018 | 409 | 2018 |
| Using a generalized instance set for automatic text categorization W Lam, CY Ho Proceedings of the 21st annual international ACM SIGIR conference on …, 1998 | 302 | 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 | 271 | 1997 |
| Fuzzy concepts in expert systems KS Leung, W Lam Computer 21 (9), 43-56, 1988 | 243 | 1988 |
| 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 | 233 | 2017 |
| A unified model for opinion target extraction and target sentiment prediction X Li, L Bing, P Li, W Lam Proceedings of the AAAI conference on artificial intelligence 33 (01), 6714-6721, 2019 | 224 | 2019 |
| Deep recurrent generative decoder for abstractive text summarization P Li, W Lam, L Bing, Z Wang arXiv preprint arXiv:1708.00625, 2017 | 219 | 2017 |
| Exploiting BERT for end-to-end aspect-based sentiment analysis X Li, L Bing, W Zhang, W Lam arXiv preprint arXiv:1910.00883, 2019 | 212 | 2019 |
| 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 | 211 | 1999 |
| 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 | 203 | 2017 |
| Aspect Term Extraction with History Attention and Selective Transformation X Li, L Bing, P Li, W Lam, Z Yang IJCAI, 2018, 2018 | 192 | 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 | 189 | 2003 |
| News sensitive stock trend prediction GPC Fung, JX Yu, W Lam Advances in Knowledge Discovery and Data Mining: 6th Pacific-Asia Conference …, 2002 | 189 | 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 | 181 | 2003 |
| 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 | 168 | 2015 |
| 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 | 162 | 1999 |
| Graph transformer for graph-to-sequence learning D Cai, W Lam Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7464-7471, 2020 | 145 | 2020 |
| 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 |
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
