| 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 | 931 | 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 | 678 | 2018 |
| 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 | 170 | 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 | 150 | 2017 |
| 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 | 124 | 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 | 116 | 2016 |
| A parameterized and annotated spoken dialog corpus of the cmu let’s go bus information system A Schmitt, S Ultes, W Minker International Conference on Language Resources and Evaluation (LREC), 2012 | 98 | 2012 |
| 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 | 72 | 2016 |
| Interaction quality: assessing the quality of ongoing spoken dialog interaction by experts—and how it relates to user satisfaction A Schmitt, S Ultes Speech Communication 74, 12-36, 2015 | 56 | 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 | 48 | 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 | 48 | 2017 |
| 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 | 46 | 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 | 44 | 2018 |
| Emotions are a personal thing: Towards speaker-adaptive emotion recognition M Sidorov, S Ultes, A Schmitt 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 33 | 2014 |
| On quality ratings for spoken dialogue systems–experts vs. users S Ultes, A Schmitt, W Minker Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 32 | 2013 |
| Exploiting sentence and context representations in deep neural models for spoken language understanding LMR Barahona, M Gasic, N Mrkšić, PH Su, S Ultes, TH Wen, S Young arXiv preprint arXiv:1610.04120, 2016 | 31 | 2016 |
| Quality-adaptive spoken dialogue initiative selection and implications on reward modelling S Ultes, M Kraus, A Schmitt, W Minker Proceedings of the 16th Annual Meeting of the Special Interest Group on …, 2015 | 29 | 2015 |
| Towards quality-adaptive spoken dialogue management S Ultes, A Schmitt, W Minker NAACL-HLT Workshop on Future directions and needs in the Spoken Dialog …, 2012 | 27 | 2012 |
| Domain-Independent User Satisfaction Reward Estimation for Dialogue Policy Learning. S Ultes, P Budzianowski, I Casanueva, N Mrksic, LM Rojas-Barahona, ... INTERSPEECH, 1721-1725, 2017 | 24 | 2017 |
| Managing adaptive spoken dialogue for intelligent environments S Ultes, W Minker Journal of Ambient Intelligence and Smart Environments 6 (5), 523-539, 2014 | 23 | 2014 |
Wolfgang MinkerZugehörigkeit unbekanntVerified email at uni-ulm.de
