| 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 | 323 | 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 | 107 | 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 | 94 | 2017 |
| A Joint Model for Question Answering and Question Generation T Wang, X Yuan, A Trischler arXiv preprint arXiv:1706.01450, 2017 | 55 | 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 | 50 | 2017 |
| Automatic acquisition of lexical formality J Brooke, T Wang, G Hirst Proceedings of the 23rd International Conference on Computational …, 2010 | 42 | 2010 |
| Exploring patterns in dictionary definitions for synonym extraction T Wang, G Hirst Natural Language Engineering 18 (3), 313-342, 2012 | 37 | 2012 |
| Near-synonym lexical choice in latent semantic space T Wang, G Hirst Proceedings of the 23rd International Conference on Computational …, 2010 | 34 | 2010 |
| Refining the notions of depth and density in wordnet-based semantic similarity measures T Wang, G Hirst Proceedings of the Conference on Empirical Methods in Natural Language …, 2011 | 32 | 2011 |
| 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 | 17* | 2018 |
| Extracting synonyms from dictionary definitions T Wang, G Hirst Proceedings of the International Conference RANLP-2009, 471-477, 2009 | 15 | 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 | 14 | 2015 |
| Applying a naļve bayes similarity measure to word sense disambiguation T Wang, G Hirst Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 14 | 2014 |
| Metalearned Neural Memory T Munkhdalai, A Sordoni, T Wang, A Trischler Advances in Neural Information Processing Systems, 13310-13321, 2019 | 12 | 2019 |
| Learning rapid-temporal adaptations T Munkhdalai, X Yuan, S Mehri, T Wang, A Trischler CoRR, abs/1712.09926, 2017 | 9 | 2017 |
| Inducing lexicons of formality from corpora J Brooke, T Wang, G Hirst Proceedings of the Language Resources and Evaluation Conference (LREC’10 …, 2010 | 8 | 2010 |
| 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 | 3 | 2019 |
| 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 | 2 | 2020 |
| Neural models for key phrase detection and question generation X Yuan, T Wang, AP Trischler, S Subramanian US Patent App. 15/667,911, 2019 | 2 | 2019 |
| Exploiting Linguistic Knowledge in Lexical and Compositional Semantic Models T Wang University of Toronto (Canada), 2016 | 1 | 2016 |
Xingdi YuanMicrosoft Research, MontrealVerified email at microsoft.com
