| BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding J Devlin, MW Chang, K Lee, K Toutanova https://arxiv.org/abs/1810.04805, 2018 | 7827 | 2018 |
| Load forecasting using support vector machines: A study on EUNITE competition 2001 BJ Chen, MW Chang, CJ Lin Power Systems, IEEE Transactions on 19 (4), 1821-1830, 2004 | 874 | 2004 |
| Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base W Yih, MW Chang, X He, J Gao ACL, 2015 | 382 | 2015 |
| Driving semantic parsing from the world’s response J Clarke, D Goldwasser, MW Chang, D Roth Proceedings of the fourteenth conference on computational natural language …, 2010 | 224 | 2010 |
| Guiding semi-supervision with constraint-driven learning MW Chang, L Ratinov, D Roth Proceedings of the 45th annual meeting of the association of computational …, 2007 | 219 | 2007 |
| A knowledge-grounded neural conversation model M Ghazvininejad, C Brockett, MW Chang, B Dolan, J Gao, W Yih, ... Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 216 | 2018 |
| Question answering using enhanced lexical semantic models SW Yih, MW Chang, C Meek, A Pastusiak | 214 | 2013 |
| To link or not to link? a study on end-to-end tweet entity linking S Guo, MW Chang, E Kiciman Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 189 | 2013 |
| Natural questions: a benchmark for question answering research T Kwiatkowski, J Palomaki, O Redfield, M Collins, A Parikh, C Alberti, ... Transactions of the Association for Computational Linguistics 7, 453-466, 2019 | 163 | 2019 |
| Leave-one-out bounds for support vector regression model selection MW Chang, CJ Lin Neural Computation 17 (5), 1188-1222, 2005 | 139 | 2005 |
| ERD'14: entity recognition and disambiguation challenge D Carmel, MW Chang, E Gabrilovich, BJ Hsu, K Wang Acm Sigir Forum 48 (2), 63-77, 2014 | 128 | 2014 |
| Structured learning with constrained conditional models MW Chang, L Ratinov, D Roth Machine learning 88 (3), 399-431, 2012 | 122 | 2012 |
| Importance of Semantic Representation: Dataless Classification. MW Chang, LA Ratinov, D Roth, V Srikumar Aaai 2, 830-835, 2008 | 121 | 2008 |
| The value of semantic parse labeling for knowledge base question answering W Yih, M Richardson, C Meek, MW Chang, J Suh Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 109 | 2016 |
| Open domain question answering via semantic enrichment H Sun, H Ma, W Yih, CT Tsai, J Liu, MW Chang Proceedings of the 24th International Conference on World Wide Web, 1045-1055, 2015 | 85 | 2015 |
| Discriminative learning over constrained latent representations MW Chang, D Goldwasser, D Roth, V Srikumar Human Language Technologies: The 2010 Annual Conference of the North …, 2010 | 85 | 2010 |
| Search-based Neural Structured Learning for Sequential Question Answering M Iyyer, W Yih, MW Chang ACL, 2017 | 81 | 2017 |
| Learning to extract cross-session search tasks H Wang, Y Song, MW Chang, X He, RW White, W Chu Proceedings of the 22nd international conference on World Wide Web, 1353-1364, 2013 | 78 | 2013 |
| Learning and Inference with Constraints. MW Chang, LA Ratinov, N Rizzolo, D Roth AAAI, 1513-1518, 2008 | 77 | 2008 |
| S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking Y Yang, MW Chang ACL, 2015 | 74 | 2015 |
Dan RothProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
