| 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 | 71 | 2017 |
| Solving hard coreference problems H Peng, D Khashabi, D Roth arXiv preprint arXiv:1907.05524, 2019 | 57 | 2019 |
| 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 | 37 | 2016 |
| 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 | 36 | 2015 |
| 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 | 25 | 2017 |
| Two discourse driven language models for semantics H Peng, D Roth arXiv preprint arXiv:1606.05679, 2016 | 22 | 2016 |
| 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 | 14 | 2017 |
| Cross-Lingual Dataless Classification for Many Languages. Y Song, S Upadhyay, H Peng, D Roth IJCAI, 2901-2907, 2016 | 14 | 2016 |
| Evaluating parallel logistic regression models H Peng, D Liang, C Choi 2013 IEEE International Conference on Big Data, 119-126, 2013 | 12 | 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 | 11 | 2017 |
| TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. M Al-Badrashiny, J Bolton, AT Chaganty, K Clark, C Harman, L Huang, ... TAC, 2017 | 11 | 2017 |
| Improving temporal relation extraction with a globally acquired statistical resource Q Ning, H Wu, H Peng, D Roth arXiv preprint arXiv:1804.06020, 2018 | 10 | 2018 |
| A scalable approach to column-based low-rank matrix approximation Y Pi, H Peng, S Zhou, Z Zhang Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 10 | 2013 |
| 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 | 7 | 2018 |
| 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 | 6 | 2017 |
| 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 | 6 | 2015 |
| Sublinear algorithms for penalized logistic regression in massive datasets H Peng, Z Wang, EY Chang, S Zhou, Z Zhang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012 | 6 | 2012 |
| 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 | 4 | 2015 |
| Illinois CCG Entity Discovery and Linking, Event Nugget Detection and Co-reference, and Slot Filler Validation Systems for TAC 2016. CT Tsai, SD Mayhew, H Peng, M Sammons, B Mangipudi, P Reddy, ... TAC, 2016 | 3 | 2016 |
| Illinois-Profiler: knowledge schemas at scale Z Fei, D Khashabi, H Peng, H Wu, D Roth Workshop on Cognitive Knowledge Acquisition and Applications (Cognitum), 2015 | 2 | 2015 |
Dan RothProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
