| 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 | 1515 | 2018 |
| Efficient intent detection with dual sentence encoders I Casanueva, T Temčinas, D Gerz, M Henderson, I Vulić arXiv preprint arXiv:2003.04807, 2020 | 486 | 2020 |
| 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 | 210 | 2019 |
| 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 | 210 | 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 | 118 | 2019 |
| A repository of conversational datasets M Henderson, P Budzianowski, I Casanueva, S Coope, D Gerz, G Kumar, ... arXiv preprint arXiv:1904.06472, 2019 | 117 | 2019 |
| Neural user simulation for corpus-based policy optimisation for spoken dialogue systems F Kreyssig, I Casanueva, P Budzianowski, M Gasic arXiv preprint arXiv:1805.06966, 2018 | 87 | 2018 |
| 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 | 58 | 2017 |
| homeService: Voice-enabled assistive technology in the home using cloud-based automatic speech recognition H Christensen, I Casanueva, S Cunningham, P Green, T Hain Proceedings of the Fourth Workshop on Speech and Language Processing for …, 2013 | 54 | 2013 |
| Knowledge transfer between speakers for personalised dialogue management I Casanueva, T Hain, H Christensen, R Marxer, P Green Proceedings of the 16th Annual Meeting of the Special Interest Group on …, 2015 | 42 | 2015 |
| Automatic selection of speakers for improved acoustic modelling: Recognition of disordered speech with sparse data H Christensen, I Casanueva, S Cunningham, P Green, T Hain 2014 IEEE Spoken Language Technology Workshop (SLT), 254-259, 2014 | 39 | 2014 |
| ConvFiT: Conversational fine-tuning of pretrained language models I Vulić, PH Su, S Coope, D Gerz, P Budzianowski, I Casanueva, N Mrkšić, ... arXiv preprint arXiv:2109.10126, 2021 | 35 | 2021 |
| 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 |
| NLU++: A multi-label, slot-rich, generalisable dataset for natural language understanding in task-oriented dialogue I Casanueva, I Vulić, GP Spithourakis, P Budzianowski arXiv preprint arXiv:2204.13021, 2022 | 33 | 2022 |
| Deep learning for conversational AI PH Su, N Mrkšić, I Casanueva, I Vulić Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 27 | 2018 |
| Towards end-to-end multi-domain dialogue modelling PF Budzianowski, I Casanueva, BH Tseng, M Gasic | 22 | 2018 |
| Polyresponse: A rank-based approach to task-oriented dialogue with application in restaurant search and booking M Henderson, I Vulić, I Casanueva, P Budzianowski, D Gerz, S Coope, ... arXiv preprint arXiv:1909.01296, 2019 | 19 | 2019 |
| 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 | 18 | 2019 |
Paweł BudzianowskiK-Scale Labs, Warsaw UniversityDirección de correo verificada de kscale.dev
