| Banditsum: Extractive summarization as a contextual bandit Y Dong, Y Shen, E Crawford, H van Hoof, JCK Cheung Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 127 | 2018 |
| EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing Y Dong, Z Li, M Rezagholizadeh, JCK Cheung Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 80 | 2019 |
| Factual error correction for abstractive summarization models M Cao, Y Dong, J Wu, JCK Cheung arXiv preprint arXiv:2010.08712, 2020 | 41 | 2020 |
| 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 | 38 | 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 | 36 | 2018 |
| A survey on neural network-based summarization methods Y Dong arXiv preprint arXiv:1804.04589, 2018 | 25 | 2018 |
| Multi-XScience: A large-scale dataset for extreme multi-document summarization of scientific articles Y Lu, Y Dong, L Charlin arXiv preprint arXiv:2010.14235, 2020 | 24 | 2020 |
| Threaded ensembles of autoencoders for stream learning Y Dong, N Japkowicz Computational Intelligence 34 (1), 261-281, 2018 | 21 | 2018 |
| Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses M Grenander, Y Dong, JCK Cheung, A Louis Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 18 | 2019 |
| Threaded ensembles of supervised and unsupervised neural networks for stream learning Y Dong, N Japkowicz Canadian conference on artificial intelligence, 304-315, 2016 | 17 | 2016 |
| Learning multi-task communication with message passing for sequence learning P Liu, J Fu, Y Dong, X Qiu, JCK Cheung Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4360-4367, 2019 | 15 | 2019 |
| Discourse-Aware Unsupervised Summarization of Long Scientific Documents Y Dong, A Romascanu, JCK Cheung arXiv preprint arXiv:2005.00513, 2020 | 12* | 2020 |
| Multi-task learning over graph structures P Liu, J Fu, Y Dong, X Qiu, JCK Cheung arXiv preprint arXiv:1811.10211, 2018 | 7 | 2018 |
| Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents R Meng, K Thaker, L Zhang, Y Dong, X Yuan, T Wang, D He arXiv preprint arXiv:2106.00130, 2021 | 6 | 2021 |
| On-the-Fly Attention Modulation for Neural Generation Y Dong, C Bhagavatula, X Lu, JD Hwang, A Bosselut, JCK Cheung, ... arXiv preprint arXiv:2101.00371, 2021 | 2 | 2021 |
| Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization M Cao, Y Dong, JCK Cheung arXiv preprint arXiv:2109.09784, 2021 | 1 | 2021 |
| Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization M Cao, Y Dong, JCK Cheung Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | | 2022 |
| Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization Y Dong, J Wieting, P Verga arXiv preprint arXiv:2204.13761, 2022 | | 2022 |
| Proceedings of the Third Workshop on New Frontiers in Summarization G Carenini, JCK Cheung, Y Dong, F Liu, L Wang Proceedings of the Third Workshop on New Frontiers in Summarization, 2021 | | 2021 |
| On-the-Fly Attention Modularization for Neural Generation Y Dong, C Bhagavatula, X Lu, JD Hwang, A Bosselut, JC Kit Cheung, ... arXiv e-prints, arXiv: 2101.00371, 2021 | | 2021 |
Jackie Chi Kit CheungMcGill UniversityVerified email at cs.mcgill.ca
