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Tom Young
Tom Young
Research Fellow, National University of Singapore
Verified email at nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
Recent trends in deep learning based natural language processing
T Young, D Hazarika, S Poria, E Cambria
ieee Computational intelligenCe magazine 13 (3), 55-75, 2018
40722018
Commonsense knowledge aware conversation generation with graph attention.
H Zhou, T Young, M Huang, H Zhao, J Xu, X Zhu
IJCAI, 4623-4629, 2018
5642018
Augmenting end-to-end dialogue systems with commonsense knowledge
T Young, E Cambria, I Chaturvedi, H Zhou, S Biswas, M Huang
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
3822018
Recent advances in deep learning based dialogue systems: A systematic survey
J Ni, T Young, V Pandelea, F Xue, E Cambria
Artificial intelligence review 56 (4), 3055-3155, 2023
2812023
Fusing task-oriented and open-domain dialogues in conversational agents
T Young, F Xing, V Pandelea, J Ni, E Cambria
Thirty-Sixth AAAI Conference on Artificial Intelligence, 2021
642021
Dialogue systems with audio context
T Young, V Pandelea, S Poria, E Cambria
Neurocomputing 388, 102-109, 2020
442020
Hitkg: Towards goal-oriented conversations via multi-hierarchy learning
J Ni, V Pandelea, T Young, H Zhou, E Cambria
Proceedings of the AAAI conference on artificial intelligence 36 (10), 11112 …, 2022
332022
Toward hardware-aware deep-learning-based dialogue systems
V Pandelea, E Ragusa, T Young, P Gastaldo, E Cambria
Neural Computing and Applications, 1-12, 2022
72022
On the Inconsistencies of Conditionals Learned by Masked Language Models
T Young, Y Chen, Y You
arXiv preprint arXiv:2301.00068, 2022
62022
From knowledge augmentation to multi-tasking: towards human-like dialogue systems
T Young
arXiv preprint arXiv:2212.03279, 2022
2022
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