Tsung-Hsien Wen
Tsung-Hsien Wen
PolyAI, University of Cambridge
Verified email at poly-ai.com - Homepage
Title
Cited by
Cited by
Year
Semantically conditioned lstm-based natural language generation for spoken dialogue systems
TH Wen, M Gasic, N Mrksic, PH Su, D Vandyke, S Young
arXiv preprint arXiv:1508.01745, 2015
6122015
A network-based end-to-end trainable task-oriented dialogue system
TH Wen, D Vandyke, N Mrksic, M Gasic, LM Rojas-Barahona, PH Su, ...
arXiv preprint arXiv:1604.04562, 2016
5662016
Neural belief tracker: Data-driven dialogue state tracking
N Mrkšić, DO Séaghdha, TH Wen, B Thomson, S Young
arXiv preprint arXiv:1606.03777, 2016
2182016
Multiwoz-a large-scale multi-domain wizard-of-oz dataset for task-oriented dialogue modelling
P Budzianowski, TH Wen, BH Tseng, I Casanueva, S Ultes, O Ramadan, ...
arXiv preprint arXiv:1810.00278, 2018
2062018
Counter-fitting word vectors to linguistic constraints
N Mrkšić, DO Séaghdha, B Thomson, M Gašić, L Rojas-Barahona, PH Su, ...
arXiv preprint arXiv:1603.00892, 2016
2062016
Stochastic language generation in dialogue using recurrent neural networks with convolutional sentence reranking
TH Wen, M Gasic, D Kim, N Mrksic, PH Su, D Vandyke, S Young
arXiv preprint arXiv:1508.01755, 2015
1492015
Multi-domain dialog state tracking using recurrent neural networks
N Mrkšić, DO Séaghdha, B Thomson, M Gašić, PH Su, D Vandyke, ...
arXiv preprint arXiv:1506.07190, 2015
1322015
Multi-domain neural network language generation for spoken dialogue systems
TH Wen, M Gasic, N Mrksic, LM Rojas-Barahona, PH Su, D Vandyke, ...
arXiv preprint arXiv:1603.01232, 2016
1212016
On-line active reward learning for policy optimisation in spoken dialogue systems
PH Su, M Gasic, N Mrksic, L Rojas-Barahona, S Ultes, D Vandyke, ...
arXiv preprint arXiv:1605.07669, 2016
1172016
Latent intention dialogue models
TH Wen, Y Miao, P Blunsom, S Young
arXiv preprint arXiv:1705.10229, 2017
992017
Pydial: A multi-domain statistical dialogue system toolkit
S Ultes, LMR Barahona, PH Su, D Vandyke, D Kim, I Casanueva, ...
Proceedings of ACL 2017, System Demonstrations, 73-78, 2017
972017
Continuously learning neural dialogue management
PH Su, M Gasic, N Mrksic, L Rojas-Barahona, S Ultes, D Vandyke, ...
arXiv preprint arXiv:1606.02689, 2016
942016
Learning from real users: Rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems
PH Su, D Vandyke, M Gasic, D Kim, N Mrksic, TH Wen, S Young
arXiv preprint arXiv:1508.03386, 2015
532015
Conditional generation and snapshot learning in neural dialogue systems
TH Wen, M Gasic, N Mrksic, LM Rojas-Barahona, PH Su, S Ultes, ...
arXiv preprint arXiv:1606.03352, 2016
502016
Policy committee for adaptation in multi-domain spoken dialogue systems
M Gašić, N Mrkšić, P Su, D Vandyke, TH Wen, S Young
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015
442015
Sub-domain modelling for dialogue management with hierarchical reinforcement learning
P Budzianowski, S Ultes, PH Su, N Mrkšić, TH Wen, I Casanueva, ...
arXiv preprint arXiv:1706.06210, 2017
342017
Dialogue manager domain adaptation using gaussian process reinforcement learning
M Gašić, N Mrkšić, LM Rojas-Barahona, PH Su, S Ultes, D Vandyke, ...
Computer Speech & Language 45, 552-569, 2017
332017
Reward shaping with recurrent neural networks for speeding up on-line policy learning in spoken dialogue systems
PH Su, D Vandyke, M Gasic, N Mrksic, TH Wen, S Young
arXiv preprint arXiv:1508.03391, 2015
332015
Recurrent neural network based language model personalization by social network crowdsourcing.
TH Wen, A Heidel, H Lee, Y Tsao, LS Lee
INTERSPEECH, 2703-2707, 2013
33*2013
Learning domain-independent dialogue policies via ontology parameterisation
Z Wang, TH Wen, PH Su, Y Stylianou
Proceedings of the 16th Annual Meeting of the Special Interest Group on …, 2015
282015
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Articles 1–20