Yue Dong
Title
Cited by
Cited by
Year
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
1102018
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
642019
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
332018
Factual error correction for abstractive summarization models
M Cao, Y Dong, J Wu, JCK Cheung
arXiv preprint arXiv:2010.08712, 2020
282020
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
252020
A survey on neural network-based summarization methods
Y Dong
arXiv preprint arXiv:1804.04589, 2018
222018
Threaded ensembles of autoencoders for stream learning
Y Dong, N Japkowicz
Computational Intelligence 34 (1), 261-281, 2018
182018
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
142020
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
142019
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
142019
Threaded ensembles of supervised and unsupervised neural networks for stream learning
Y Dong, N Japkowicz
Canadian conference on artificial intelligence, 304-315, 2016
142016
Discourse-Aware Unsupervised Summarization of Long Scientific Documents
Y Dong, A Romascanu, JCK Cheung
arXiv preprint arXiv:2005.00513, 2020
10*2020
Multi-task learning over graph structures
P Liu, J Fu, Y Dong, X Qiu, JCK Cheung
arXiv preprint arXiv:1811.10211, 2018
72018
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
12021
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
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization
M Cao, Y Dong, JCK Cheung
arXiv preprint arXiv:2109.09784, 2021
2021
On-the-Fly Attention Modulation for Neural Generation
Y Dong, C Bhagavatula, X Lu, JD Hwang, A Bosselut, JCK Cheung, ...
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
2021
On-the-Fly Attention Modularization for Neural Generation
Y Dong, C Bhagavatula, X Lu, JD Hwang, A Bosselut, JCK Cheung, ...
arXiv preprint arXiv:2101.00371, 2021
2021
Higher Order Neural Networks and Neural Networks for Stream Learning
Y Dong
Université d'Ottawa/University of Ottawa, 2017
2017
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Articles 1–19