| 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 | 1358 | 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 | 539 | 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 | 212 | 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 | 208 | 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 | 206 | 2017 |
| Deep learning for sentiment analysis LM Rojas‐Barahona Language and Linguistics Compass 10 (12), 701-719, 2016 | 159 | 2016 |
| Continuously learning neural dialogue management PH Su, M Gasic, N Mrksic, L Rojas-Barahona, S Ultes, D Vandyke, ... arXiv preprint arXiv:1606.02689, 2016 | 135 | 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 |
| 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 |
| 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 | 53 | 2017 |
| 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 | 41 | 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 |
| 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 | 34 | 2017 |
| " Do you follow me?": A Survey of Recent Approaches in Dialogue State Tracking L Jacqmin, LM Rojas-Barahona, B Favre arXiv preprint arXiv:2207.14627, 2022 | 30 | 2022 |
| Hyperbolic temporal knowledge graph embeddings with relational and time curvatures S Montella, L Rojas-Barahona, J Heinecke arXiv preprint arXiv:2106.04311, 2021 | 29 | 2021 |
| Leveraging study of robustness and portability of spoken language understanding systems across languages and domains: the PORTMEDIA corpora F Lefevre, D Mostefa, L Besacier, Y Esteve, M Quignard, N Camelin, ... The International Conference on Language Resources and Evaluation, 2012 | 27 | 2012 |
| Deep learning for language understanding of mental health concepts derived from cognitive behavioural therapy L Rojas-Barahona, BH Tseng, Y Dai, C Mansfield, O Ramadan, S Ultes, ... arXiv preprint arXiv:1809.00640, 2018 | 25 | 2018 |
| Addressing objects and their relations: The conversational entity dialogue model S Ultes, P Budzianowski, I Casanueva, L Rojas-Barahona, BH Tseng, ... arXiv preprint arXiv:1901.01466, 2019 | 16 | 2019 |
Alejandra LorenzoLORIA, Universite de LorraineVerified email at loria.fr
