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Tom Young
Tom Young
PhD student, Nanyang Technological University
Verified email at sentic.net - 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
25172018
Commonsense knowledge aware conversation generation with graph attention.
H Zhou, T Young, M Huang, H Zhao, J Xu, X Zhu
IJCAI, 4623-4629, 2018
3652018
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
2482018
Recent advances in deep learning based dialogue systems: A systematic survey
J Ni, T Young, V Pandelea, F Xue, V Adiga, E Cambria
arXiv preprint arXiv:2105.04387, 2021
222021
Dialogue systems with audio context
T Young, V Pandelea, S Poria, E Cambria
Neurocomputing 388, 102-109, 2020
222020
Toward hardware-aware deep-learning-based dialogue systems
V Pandelea, E Ragusa, T Young, P Gastaldo, E Cambria
Neural Computing and Applications 34 (13), 10397-10408, 2022
42022
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
32021
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
2022
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