Urmăriți
Tom Young
Tom Young
Research Fellow, National University of Singapore
Adresă de e-mail confirmată pe nus.edu.sg - Pagina de pornire
Titlu
Citat de
Citat de
Anul
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
41732018
Commonsense knowledge aware conversation generation with graph attention.
H Zhou, T Young, M Huang, H Zhao, J Xu, X Zhu
IJCAI 18, 4623-4629, 2018
5712018
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
3852018
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
3072023
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
672021
Dialogue systems with audio context
T Young, V Pandelea, S Poria, E Cambria
Neurocomputing 388, 102-109, 2020
452020
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
342022
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
Inconsistencies in Masked Language Models
T Young, Y Chen, Y You
arXiv preprint arXiv:2301.00068, 2022
12022
From knowledge augmentation to multi-tasking: towards human-like dialogue systems
T Young
arXiv preprint arXiv:2212.03279, 2022
2022
Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.
Articole 1–11