| 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 | 683 | 2015 |
| 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 | 662 | 2016 |
| 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 | 329 | 2018 |
| Neural belief tracker: Data-driven dialogue state tracking N Mrkšić, DO Séaghdha, TH Wen, B Thomson, S Young arXiv preprint arXiv:1606.03777, 2016 | 262 | 2016 |
| 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 | 246 | 2016 |
| 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 | 157 | 2015 |
| 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 | 150 | 2015 |
| 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 | 132 | 2016 |
| 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 | 131 | 2016 |
| Latent intention dialogue models TH Wen, Y Miao, P Blunsom, S Young International Conference on Machine Learning, 3732-3741, 2017 | 116 | 2017 |
| 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 | 113 | 2017 |
| Continuously learning neural dialogue management PH Su, M Gasic, N Mrksic, L Rojas-Barahona, S Ultes, D Vandyke, ... arXiv preprint arXiv:1606.02689, 2016 | 98 | 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 | 57 | 2016 |
| 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 | 56 | 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 | 46 | 2015 |
| A benchmarking environment for reinforcement learning based task oriented dialogue management I Casanueva, P Budzianowski, PH Su, N Mrkšić, TH Wen, S Ultes, ... arXiv preprint arXiv:1711.11023, 2017 | 39 | 2017 |
| 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 | 38 | 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, TH Wen, S Young arXiv preprint arXiv:1508.03391, 2015 | 37 | 2015 |
| 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 | 37* | 2013 |
| 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 | 34 | 2017 |
Nikola MrkšićPolyAI, University of CambridgeVerifierad e-postadress på poly-ai.com
