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 | 1381 | 2016 |
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 | 1135 | 2015 |
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 | 545 | 2016 |
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 | 226 | 2015 |
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 | 224 | 2015 |
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 | 212 | 2016 |
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 | 208 | 2017 |
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 | 208 | 2016 |
Optimizing dialogue policy decisions for digital assistants using implicit feedback B Thomson, DJ Vandyke, G Frazzingaro, SF DELGADO, TB Gunter, ... US Patent 10,810,274, 2020 | 184 | 2020 |
Continuously learning neural dialogue management PH Su, M Gasic, N Mrksic, L Rojas-Barahona, S Ultes, D Vandyke, ... arXiv preprint arXiv:1606.02689, 2016 | 136 | 2016 |
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 | 91 | 2016 |
Plan-then-generate: Controlled data-to-text generation via planning Y Su, D Vandyke, S Wang, Y Fang, N Collier arXiv preprint arXiv:2108.13740, 2021 | 78 | 2021 |
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, W Tsung-Hsien, Y Steve Proceedings of Interspeech, 16th Annual Conference of the International …, 2015 | 71 | 2015 |
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 | 56 | 2015 |
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 | 54 | 2017 |
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, W Tsung-Hsien, Y Steve Proceedings of SigDial, 2015 | 51 | 2015 |
Non-autoregressive text generation with pre-trained language models Y Su, D Cai, Y Wang, D Vandyke, S Baker, P Li, N Collier arXiv preprint arXiv:2102.08220, 2021 | 50 | 2021 |
Towards using conversations with spoken dialogue systems in the automated assessment of non-native speakers of English D Litman, S Young, M Gales, K Knill, K Ottewell, R Van Dalen, D Vandyke Proceedings of the 17th annual meeting of the special interest group on …, 2016 | 38 | 2016 |
Toward multi-domain language generation using recurrent neural networks TH Wen, M Gašic, N Mrkšic, LM Rojas-Barahona, PH Su, D Vandyke, ... NIPS Workshop on Machine Learning for Spoken Language Understanding and …, 2015 | 37 | 2015 |
A generative model for joint natural language understanding and generation BH Tseng, J Cheng, Y Fang, D Vandyke arXiv preprint arXiv:2006.07499, 2020 | 32 | 2020 |