| 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 | 1343 | 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 | 1113 | 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 | 534 | 2016 |
| Sample-efficient actor-critic reinforcement learning with supervised data for dialogue management PH Su, P Budzianowski, S Ultes, M Gasic, S Young arXiv preprint arXiv:1707.00130, 2017 | 256* | 2017 |
| 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 | 224 | 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 | 221 | 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 | 210 | 2016 |
| 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 | 207 | 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 | 202 | 2017 |
| ConveRT: Efficient and accurate conversational representations from transformers M Henderson, I Casanueva, N Mrkšić, PH Su, TH Wen, I Vulić arXiv preprint arXiv:1911.03688, 2019 | 200 | 2019 |
| Sample-efficient actor-critic reinforcement learning with supervised data for dialogue management PH Su, P Budzianowski, S Ultes, M Gasic, S Young arXiv preprint arXiv:1707.00130, 2017 | 152 | 2017 |
| Training neural response selection for task-oriented dialogue systems M Henderson, I Vulić, D Gerz, I Casanueva, P Budzianowski, S Coope, ... arXiv preprint arXiv:1906.01543, 2019 | 115 | 2019 |
| A repository of conversational datasets M Henderson, P Budzianowski, I Casanueva, S Coope, D Gerz, G Kumar, ... arXiv preprint arXiv:1904.06472, 2019 | 109 | 2019 |
| Sample efficient deep reinforcement learning for dialogue systems with large action spaces G Weisz, P Budzianowski, PH Su, M Gašić IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (11 …, 2018 | 97 | 2018 |
| 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 | 90 | 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 INTERSPEECH, 2015 | 71 | 2015 |
| 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 | 67 | 2017 |
| Feudal reinforcement learning for dialogue management in large domains I Casanueva, P Budzianowski, PH Su, S Ultes, L Rojas-Barahona, ... arXiv preprint arXiv:1803.03232, 2018 | 60 | 2018 |
| 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 | 56 | 2017 |
| 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 |
Tsung-Hsien WenPolyAI, University of CambridgeПодтвержден адрес электронной почты в домене poly-ai.com
