| Regions, periods, activities: Uncovering urban dynamics via cross-modal representation learning C Zhang, K Zhang, Q Yuan, H Peng, Y Zheng, T Hanratty, S Wang, J Han Proceedings of the 26th International Conference on World Wide Web, 361-370, 2017 | 138 | 2017 |
| Solving hard coreference problems H Peng, D Khashabi, D Roth Proceedings of the Conference of the North American Chapter of the …, 2015 | 101* | 2015 |
| Event detection and co-reference with minimal supervision H Peng, Y Song, D Roth Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 97 | 2016 |
| Story comprehension for predicting what happens next S Chaturvedi, H Peng, D Roth Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 71 | 2017 |
| A joint framework for coreference resolution and mention head detection H Peng, KW Chang, D Roth Proceedings of the Nineteenth Conference on Computational Natural Language …, 2015 | 62 | 2015 |
| Two discourse driven language models for semantics H Peng, D Roth Proceedings of the Annual Meeting of the Association for Computational …, 2016 | 41 | 2016 |
| Improving temporal relation extraction with a globally acquired statistical resource Q Ning, H Wu, H Peng, D Roth Proceedings of the Conference of the North American Chapter of the …, 2018 | 38 | 2018 |
| CogCompTime: A tool for understanding time in natural language Q Ning, B Zhou, Z Feng, H Peng, D Roth Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 34 | 2018 |
| Bilingual lexicon induction from non-parallel data with minimal supervision M Zhang, H Peng, Y Liu, H Luan, M Sun Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 26 | 2017 |
| Evaluating parallel logistic regression models H Peng, D Liang, C Choi 2013 IEEE International Conference on Big Data, 119-126, 2013 | 19 | 2013 |
| Maximum margin reward networks for learning from explicit and implicit supervision H Peng, MW Chang, W Yih Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 18 | 2017 |
| Cross-Lingual Dataless Classification for Many Languages. Y Song, S Upadhyay, H Peng, D Roth IJCAI, 2901-2907, 2016 | 18 | 2016 |
| A joint model for semantic sequences: Frames, entities, sentiments H Peng, S Chaturvedi, D Roth Proceedings of the 21st Conference on Computational Natural Language …, 2017 | 16 | 2017 |
| TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. M Al-Badrashiny, J Bolton, AT Chaganty, K Clark, C Harman, L Huang, ... TAC, 2017 | 14 | 2017 |
| A Scalable Approach to Column-Based Low-Rank Matrix Approximation. Y Pi, H Peng, S Zhou, Z Zhang IJCAI, 1600-1606, 2013 | 14 | 2013 |
| Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems. M Sammons, H Peng, Y Song, S Upadhyay, CT Tsai, P Reddy, S Roy, ... TAC, 2015 | 13 | 2015 |
| Toward any-language zero-shot topic classification of textual documents Y Song, S Upadhyay, H Peng, S Mayhew, D Roth Artificial Intelligence 274, 133-150, 2019 | 11 | 2019 |
| Knowsemlm: A knowledge infused semantic language model H Peng, Q Ning, D Roth Proceedings of the 23rd Conference on Computational Natural Language …, 2019 | 9 | 2019 |
| Improving a pipeline architecture for shallow discourse parsing Y Song, H Peng, P Kordjamshidi, M Sammons, D Roth Proceedings of the Nineteenth Conference on Computational Natural Language …, 2015 | 8 | 2015 |
| UI CCG TAC-KBP2017 submissions: Entity discovery and linking, and event nugget detection and co-reference C Duncan, LW Chan, H Peng, H Wu, S Upadhyay, N Gupta, CT Tsai, ... TAC, 2017 | 5 | 2017 |
Dan RothProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
