| 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 | 600 | 2014 |
| The dialog state tracking challenge series JD Williams, M Henderson, A Raux, B Thomson, A Black, ... AI Magazine 35 (4), 121-124, 2014 | 446 | 2014 |
| Word-Based Dialog State Tracking with Recurrent Neural Networks M Henderson, B Thomson, S Young SIGdial, 2014 | 363 | 2014 |
| Efficient Natural Language Response Suggestion for Smart Reply M Henderson, R Al-Rfou, B Strope, Y Sung, L Lukacs, R Guo, S Kumar, ... https://arxiv.org/abs/1705.00652, 2017 | 232 | 2017 |
| The dialog state tracking challenge series: A review JD Williams, A Raux, M Henderson Dialogue & Discourse 7 (3), 4-33, 2016 | 227 | 2016 |
| 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 | 190 | 2013 |
| Efficient intent detection with dual sentence encoders I Casanueva, T Temčinas, D Gerz, M Henderson, I Vulić arXiv preprint arXiv:2003.04807, 2020 | 181 | 2020 |
| The third dialog state tracking challenge M Henderson, B Thomson, JD Williams 2014 IEEE Spoken Language Technology Workshop (SLT), 324-329, 2014 | 172 | 2014 |
| 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 | 147 | 2019 |
| 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 | 145 | 2014 |
| The fourth dialog state tracking challenge S Kim, LF D˘Haro, RE Banchs, JD Williams, M Henderson Dialogues with Social Robots: Enablements, Analyses, and Evaluation, 435-449, 2017 | 125 | 2017 |
| Discriminative Spoken Language Understanding Using Word Confusion Networks M Henderson, M Gašic, B Thomson, P Tsiakoulis, K Yu, S Young | 108 | 2012 |
| Machine learning for dialog state tracking: A review M Henderson | 97 | 2015 |
| Training Neural Response Selection for Task-Oriented Dialogue Systems M Henderson, I Vulić, D Gerz, I Casanueva, P Budzianowski, S Coope, ... ACL, 2019 | 96 | 2019 |
| On-line policy optimisation of bayesian spoken dialogue systems via human interaction M Gašić, C Breslin, M Henderson, D Kim, M Szummer, B Thomson, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 95 | 2013 |
| POMDP-based dialogue manager adaptation to extended domains M Gašic, C Breslin, M Henderson, D Kim, M Szummer, B Thomson, ... | 85 | 2013 |
| The fifth dialog state tracking challenge S Kim, LF D'Haro, RE Banchs, JD Williams, M Henderson, K Yoshino 2016 IEEE Spoken Language Technology Workshop (SLT), 511-517, 2016 | 81 | 2016 |
| A Repository of Conversational Datasets M Henderson, P Budzianowski, I Casanueva, S Coope, D Gerz, G Kumar, ... 1st Workshop on Natural Language Processing for Conversational AI, 2019 | 71 | 2019 |
| Incremental on-line adaptation of POMDP-based dialogue managers to extended domains M Gašic, D Kim, P Tsiakoulis, C Breslin, M Henderson, M Szummer, ... Interspeech, 2014 | 50 | 2014 |
| Span-ConveRT: Few-shot span extraction for dialog with pretrained conversational representations S Coope, T Farghly, D Gerz, I Vulić, M Henderson arXiv preprint arXiv:2005.08866, 2020 | 42 | 2020 |
Steve YoungProfessor of Information EngineeringVerified email at eng.cam.ac.uk
