| 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 | 960 | 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 | 896 | 2015 |
| Neural belief tracker: Data-driven dialogue state tracking N Mrkšić, DO Séaghdha, TH Wen, B Thomson, S Young arXiv preprint arXiv:1606.03777, 2016 | 408 | 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 | 363 | 2016 |
| Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints N Mrkšić, I Vulić, DÓ Séaghdha, I Leviant, R Reichart, M Gašić, ... arXiv preprint arXiv:1706.00374, 2017 | 207 | 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 | 192 | 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 | 191 | 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 | 173 | 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 | 171 | 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 | 154 | 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 | 117 | 2016 |
| 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 | 110 | 2019 |
| Specialising word vectors for lexical entailment I Vulić, N Mrkšić arXiv preprint arXiv:1710.06371, 2017 | 99 | 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 | 77 | 2019 |
| 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 | 74 | 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 | 65 | 2015 |
| A repository of conversational datasets M Henderson, P Budzianowski, I Casanueva, S Coope, D Gerz, G Kumar, ... arXiv preprint arXiv:1904.06472, 2019 | 55 | 2019 |
| Policy Committee for adaptation in multi-domain spoken dialogue systems M Gašić, N Mrkšić, PH Su, D Vandyke, TH Wen, S Young IEEE, 2015 | 54 | 2015 |
| Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules I Vulić, N Mrkšić, R Reichart, DÓ Séaghdha, S Young, A Korhonen arXiv preprint arXiv:1706.00377, 2017 | 52 | 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 | 49 | 2017 |
Tsung-Hsien WenPolyAI, University of CambridgeZweryfikowany adres z poly-ai.com
