| Newsqa: A machine comprehension dataset A Trischler, T Wang, X Yuan, J Harris, A Sordoni, P Bachman, K Suleman arXiv preprint arXiv:1611.09830, 2016 | 575 | 2016 |
| CAPTION-ing the situation: A lexically-derived taxonomy of psychological situation characteristics. S Parrigon, SE Woo, L Tay, T Wang Journal of personality and social psychology 112 (4), 642, 2017 | 173 | 2017 |
| Machine comprehension by text-to-text neural question generation X Yuan, T Wang, C Gulcehre, A Sordoni, P Bachman, S Subramanian, ... arXiv preprint arXiv:1705.02012, 2017 | 142 | 2017 |
| Neural models for key phrase detection and question generation S Subramanian, T Wang, X Yuan, S Zhang, Y Bengio, A Trischler arXiv preprint arXiv:1706.04560, 2017 | 92 | 2017 |
| A joint model for question answering and question generation T Wang, X Yuan, A Trischler arXiv preprint arXiv:1706.01450, 2017 | 86 | 2017 |
| One size does not fit all: Generating and evaluating variable number of keyphrases X Yuan, T Wang, R Meng, K Thaker, P Brusilovsky, D He, A Trischler arXiv preprint arXiv:1810.05241, 2018 | 56* | 2018 |
| Exploring and predicting transferability across NLP tasks T Vu, T Wang, T Munkhdalai, A Sordoni, A Trischler, A Mattarella-Micke, ... arXiv preprint arXiv:2005.00770, 2020 | 51 | 2020 |
| Automatic acquisition of lexical formality J Brooke, T Wang, G Hirst Coling 2010: Posters, 90-98, 2010 | 48 | 2010 |
| Exploring patterns in dictionary definitions for synonym extraction T Wang, G Hirst Natural Language Engineering 18 (3), 313-342, 2012 | 42 | 2012 |
| Metalearned neural memory T Munkhdalai, A Sordoni, T Wang, A Trischler Advances in Neural Information Processing Systems 32, 2019 | 36 | 2019 |
| Metalearned neural memory T Munkhdalai, A Sordoni, T Wang, A Trischler Advances in Neural Information Processing Systems 32, 2019 | 36 | 2019 |
| Near-synonym lexical choice in latent semantic space T Wang, G Hirst Proceedings of the 23rd International Conference on Computational …, 2010 | 35 | 2010 |
| Refining the notions of depth and density in wordnet-based semantic similarity measures T Wang, G Hirst Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011 | 33 | 2011 |
| Extracting synonyms from dictionary definitions T Wang, G Hirst Proceedings of the International Conference RANLP-2009, 471-477, 2009 | 18 | 2009 |
| Learning lexical embeddings with syntactic and lexicographic knowledge T Wang, A Mohamed, G Hirst Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 15 | 2015 |
| Applying a naïve bayes similarity measure to word sense disambiguation T Wang, G Hirst Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 15 | 2014 |
| Does order matter? an empirical study on generating multiple keyphrases as a sequence R Meng, X Yuan, T Wang, P Brusilovsky, A Trischler, D He arXiv preprint arXiv:1909.03590, 2019 | 12 | 2019 |
| Learning rapid-temporal adaptations T Munkhdalai, X Yuan, S Mehri, T Wang, A Trischler | 12 | 2017 |
| An empirical study on neural keyphrase generation R Meng, X Yuan, T Wang, S Zhao, A Trischler, D He arXiv preprint arXiv:2009.10229, 2020 | 9 | 2020 |
| Neural models for key phrase detection and question generation X Yuan, T Wang, AP Trischler, S Subramanian US Patent 10,902,738, 2021 | 8 | 2021 |
Graeme HirstProfessor of Computer Science, University of TorontoEmail verificata su cs.toronto.edu
