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
492018
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
182019
A survey on neural network-based summarization methods
Y Dong
arXiv preprint arXiv:1804.04589, 2018
142018
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
142018
Threaded ensembles of supervised and unsupervised neural networks for stream learning
Y Dong, N Japkowicz
Canadian conference on artificial intelligence, 304-315, 2016
122016
Threaded ensembles of autoencoders for stream learning
Y Dong, N Japkowicz
Computational Intelligence 34 (1), 261-281, 2018
102018
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, 4360-4367, 2019
62019
Multi-task learning over graph structures
P Liu, J Fu, Y Dong, X Qiu, JCK Cheung
arXiv preprint arXiv:1811.10211, 2018
42018
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization
Y Dong, A Romascanu, JCK Cheung
arXiv preprint arXiv:2005.00513, 2020
12020
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
12019
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 1–11