| Pomdp-based statistical spoken dialog systems: A review S Young, M Gašić, B Thomson, JD Williams Proceedings of the IEEE 101 (5), 1160-1179, 2013 | 1068 | 2013 |
| The second dialog state tracking challenge M Henderson, B Thomson, JD Williams Proceedings of the 15th annual meeting of the special interest group on …, 2014 | 718 | 2014 |
| The hidden information state model: A practical framework for POMDP-based spoken dialogue management S Young, M Gašić, S Keizer, F Mairesse, J Schatzmann, B Thomson, K Yu Computer Speech & Language 24 (2), 150-174, 2010 | 607 | 2010 |
| Neural belief tracker: Data-driven dialogue state tracking N Mrkšić, DO Séaghdha, TH Wen, B Thomson, S Young arXiv preprint arXiv:1606.03777, 2016 | 581 | 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 | 545 | 2016 |
| The dialog state tracking challenge series JD Williams, M Henderson, A Raux, B Thomson, A Black, ... AI Magazine 35 (4), 121-124, 2014 | 529 | 2014 |
| Agenda-based user simulation for bootstrapping a POMDP dialogue system J Schatzmann, B Thomson, K Weilhammer, H Ye, S Young Human Language Technologies 2007: The Conference of the North American …, 2007 | 456 | 2007 |
| Word-based dialog state tracking with recurrent neural networks M Henderson, B Thomson, S Young Proceedings of the 15th annual meeting of the special interest group on …, 2014 | 402 | 2014 |
| Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems B Thomson, S Young Computer Speech & Language 24 (4), 562-588, 2010 | 366 | 2010 |
| 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 | 226 | 2015 |
| Deep neural network approach for the dialog state tracking challenge M Henderson, B Thomson, S Young Proceedings of the SIGDIAL 2013 Conference, 467-471, 2013 | 206 | 2013 |
| The third dialog state tracking challenge M Henderson, B Thomson, JD Williams 2014 IEEE Spoken Language Technology Workshop (SLT), 324-329, 2014 | 200 | 2014 |
| Phrase-based statistical language generation using graphical models and active learning F Mairesse, M Gasic, F Jurcicek, S Keizer, B Thomson, K Yu, S Young Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010 | 188 | 2010 |
| Optimizing dialogue policy decisions for digital assistants using implicit feedback B Thomson, DJ Vandyke, G Frazzingaro, SF DELGADO, TB Gunter, ... US Patent 10,810,274, 2020 | 184 | 2020 |
| Hierarchical belief states for digital assistants B Thomson, A Johannsen, DÓ Séaghdha, F Flego, L Simonelli, SJ Young, ... US Patent 10,482,874, 2019 | 174 | 2019 |
| The cellular responses of articular cartilage to sharp and blunt trauma SN Redman, GP Dowthwaite, BM Thomson, CW Archer Osteoarthritis and cartilage 12 (2), 106-116, 2004 | 165 | 2004 |
| Robust dialog state tracking using delexicalised recurrent neural networks and unsupervised adaptation M Henderson, B Thomson, S Young 2014 IEEE Spoken Language Technology Workshop (SLT), 360-365, 2014 | 155 | 2014 |
| Feedback analysis of a digital assistant G Frazzingaro, A Garg, B Thomson, A Kumar, MS SEIGEL, L Li US Patent 11,301,477, 2022 | 140 | 2022 |
| Spoken language understanding from unaligned data using discriminative classification models F Mairesse, M Gasic, F Jurcicek, S Keizer, B Thomson, K Yu, S Young 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 114 | 2009 |
| Discriminative spoken language understanding using word confusion networks M Henderson, M Gašić, B Thomson, P Tsiakoulis, K Yu, S Young 2012 IEEE Spoken Language Technology Workshop (SLT), 176-181, 2012 | 113 | 2012 |
