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Yue Dong
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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
2042018
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
1652019
Factual error correction for abstractive summarization models
M Cao, Y Dong, J Wu, JCK Cheung
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
1052020
Multi-fact correction in abstractive text summarization
Y Dong, S Wang, Z Gan, Y Cheng, JCK Cheung, J Liu
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
942020
Multi-XScience: A large-scale dataset for extreme multi-document summarization of scientific articles
Y Lu, Y Dong, L Charlin
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
632020
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
592018
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
582022
Discourse-Aware Unsupervised Summarization of Long Scientific Documents
Y Dong, A Romascanu, JCK Cheung
Proceedings of the 16th Conference of the European Chapter of the …, 2021
57*2021
A survey on neural network-based summarization methods
Y Dong
arXiv preprint arXiv:1804.04589, 2018
392018
Threaded ensembles of autoencoders for stream learning
Y Dong, N Japkowicz
Computational Intelligence 34 (1), 261-281, 2018
372018
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
332019
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
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
292021
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
252019
Text generation with text-editing models
E Malmi, Y Dong, J Mallinson, A Chuklin, J Adamek, D Mirylenka, ...
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
192022
Threaded ensembles of supervised and unsupervised neural networks for stream learning
Y Dong, N Japkowicz
Advances in Artificial Intelligence: 29th Canadian Conference on Artificial …, 2016
182016
Faithful to the document or to the world? mitigating hallucinations via entity-linked knowledge in abstractive summarization
Y Dong, J Wieting, P Verga
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
122022
Inspecting the factuality of hallucinated entities in abstractive summarization
M Cao, Y Dong, JCK Cheung
arXiv preprint arXiv:2109.09784, 2021
82021
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
72021
Multi-task learning over graph structures
P Liu, J Fu, Y Dong, X Qiu, JCK Cheung
arXiv preprint arXiv:1811.10211, 2018
72018
Watermarking conditional text generation for ai detection: Unveiling challenges and a semantic-aware watermark remedy
Y Fu, D Xiong, Y Dong
arXiv preprint arXiv:2307.13808, 2023
42023
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