Stefan Ultes
Stefan Ultes
Professor at University of Bamberg, Chair of Natural Language Generation and Dialogue Systems
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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
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
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
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
Continuously learning neural dialogue management
PH Su, M Gasic, N Mrksic, L Rojas-Barahona, S Ultes, D Vandyke, ...
arXiv preprint arXiv:1606.02689, 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
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
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
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
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
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
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
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
Finding Appropriate Interaction Strategies for Proactive Dialogue Systems—An Open Quest
F Nothdurft, S Ultes, W Minker
Proceedings of the 2nd European and the 5th Nordic Symposium on Multimodal …, 2015
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
Natural language understanding for argumentative dialogue systems in the opinion building domain
WA Abro, A Aicher, N Rach, S Ultes, W Minker, G Qi
Knowledge-Based Systems 242, 108318, 2022
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
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
Cultural communication idiosyncrasies in human-computer interaction
J Miehle, K Yoshino, L Pragst, S Ultes, S Nakamura, W Minker
Proceedings of the 17th Annual Meeting of the Special Interest Group on …, 2016
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20