| Multi-Document Summarization of Evaluative Text G Carenini, JCK Cheung, A Pauls Computational Intelligence, 2012 | 309 | 2012 |
| Banditsum: Extractive summarization as a contextual bandit Y Dong, Y Shen, E Crawford, H van Hoof, JCK Cheung arXiv preprint arXiv:1809.09672, 2018 | 225 | 2018 |
| EditNTS: An neural programmer-interpreter model for sentence simplification through explicit editing Y Dong, Z Li, M Rezagholizadeh, JCK Cheung arXiv preprint arXiv:1906.08104, 2019 | 182 | 2019 |
| Factual error correction for abstractive summarization models M Cao, Y Dong, J Wu, JCK Cheung arXiv preprint arXiv:2010.08712, 2020 | 137 | 2020 |
| Probabilistic frame induction JCK Cheung, H Poon, L Vanderwende Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 132 | 2013 |
| Temp: Temporal message passing for temporal knowledge graph completion J Wu, M Cao, JCK Cheung, WL Hamilton arXiv preprint arXiv:2010.03526, 2020 | 131 | 2020 |
| Extractive vs. NLG-based abstractive summarization of evaluative text: The effect of corpus controversiality G Carenini, JCK Cheung Proceedings of the Fifth International Natural Language Generation …, 2008 | 124 | 2008 |
| Multi-fact correction in abstractive text summarization Y Dong, S Wang, Z Gan, Y Cheng, JCK Cheung, J Liu arXiv preprint arXiv:2010.02443, 2020 | 112 | 2020 |
| Hallucinated but factual! inspecting the factuality of hallucinations in abstractive summarization M Cao, Y Dong, JCK Cheung arXiv preprint arXiv:2109.09784, 2021 | 100 | 2021 |
| On variational learning of controllable representations for text without supervision P Xu, JCK Cheung, Y Cao International Conference on Machine Learning, 10534-10543, 2020 | 71* | 2020 |
| On the systematicity of probing contextualized word representations: The case of hypernymy in BERT A Ravichander, E Hovy, K Suleman, A Trischler, JCK Cheung Proceedings of the Ninth Joint Conference on Lexical and Computational …, 2020 | 67 | 2020 |
| A hierarchical neural attention-based text classifier K Sinha, Y Dong, JCK Cheung, D Ruths Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 64 | 2018 |
| Resolving event coreference with supervised representation learning and clustering-oriented regularization K Kenyon-Dean, JCK Cheung, D Precup arXiv preprint arXiv:1805.10985, 2018 | 63 | 2018 |
| Discourse-aware unsupervised summarization of long scientific documents Y Dong, A Mircea, JCK Cheung arXiv preprint arXiv:2005.00513, 2020 | 60 | 2020 |
| The KnowRef coreference corpus: Removing gender and number cues for difficult pronominal anaphora resolution A Emami, P Trichelair, A Trischler, K Suleman, H Schulz, JCK Cheung arXiv preprint arXiv:1811.01747, 2018 | 60 | 2018 |
| A cross-domain transferable neural coherence model P Xu, H Saghir, JS Kang, T Long, AJ Bose, Y Cao, JCK Cheung arXiv preprint arXiv:1905.11912, 2019 | 59 | 2019 |
| Sequence clustering and labeling for unsupervised query intent discovery JCK Cheung, X Li Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 58 | 2012 |
| Unsupervised Sentence Enhancement for Automatic Summarization JCK Cheung, G Penn | 56 | 2014 |
| Optimizing deeper transformers on small datasets P Xu, D Kumar, W Yang, W Zi, K Tang, C Huang, JCK Cheung, ... arXiv preprint arXiv:2012.15355, 2020 | 55 | 2020 |
| How reasonable are common-sense reasoning tasks: A case-study on the Winograd schema challenge and SWAG P Trichelair, A Emami, A Trischler, K Suleman, JCK Cheung arXiv preprint arXiv:1811.01778, 2018 | 54 | 2018 |
Yue DongUniversity of California Riverside在 ucr.edu 的电子邮件经过验证
