| This new conversational AI model can be your friend, philosopher, and guide... and even your worst enemy J Chatterjee, N Dethlefs Patterns 4 (1), 2023 | 147 | 2023 |
| Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future J Chatterjee, N Dethlefs Renewable and Sustainable Energy Reviews 144, 111051, 2021 | 88 | 2021 |
| Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines J Chatterjee, N Dethlefs Wind Energy 23 (8), 1693-1710, 2020 | 66 | 2020 |
| Automatic identification of suicide notes from linguistic and sentiment features AM Schoene, N Dethlefs Proceedings of the 10th SIGHUM workshop on language technology for cultural …, 2016 | 54 | 2016 |
| Hierarchical reinforcement learning and hidden markov models for task-oriented natural language generation N Dethlefs, H Cuayáhuitl Proceedings of the 49th annual meeting of the association for computational …, 2011 | 46 | 2011 |
| Optimising incremental dialogue decisions using information density for interactive systems N Dethlefs, H Hastie, V Rieser, O Lemon Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012 | 42 | 2012 |
| Route instructions in map-based human–human and human–computer dialogue: A comparative analysis T Tenbrink, RJ Ross, KE Thomas, N Dethlefs, E Andonova Journal of Visual Languages & Computing 21 (5), 292-309, 2010 | 39 | 2010 |
| Combining hierarchical reinforcement learning and bayesian networks for natural language generation in situated dialogue N Dethlefs, H Cuayáhuitl Proceedings of the 13th European workshop on natural language generation …, 2011 | 37 | 2011 |
| Generating adaptive route instructions using hierarchical reinforcement learning H Cuayáhuitl, N Dethlefs, L Frommberger, KF Richter, J Bateman Spatial Cognition VII: International Conference, Spatial Cognition 2010, Mt …, 2010 | 37 | 2010 |
| Conditional random fields for responsive surface realisation using global features N Dethlefs, H Hastie, H Cuayáhuitl, O Lemon Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 36 | 2013 |
| Hierarchical reinforcement learning for adaptive text generation N Dethlefs, H Cuayáhuitl Proceedings of the 6th International Natural Language Generation Conference, 2010 | 36 | 2010 |
| Machine learning for interactive systems and robots: a brief introduction H Cuayáhuitl, M Van Otterlo, N Dethlefs, L Frommberger Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems …, 2013 | 35 | 2013 |
| Cluster-based prediction of user ratings for stylistic surface realisation N Dethlefs, H Cuayáhuitl, H Hastie, V Rieser, O Lemon 14th Conference of the European Chapter of the Association for Computational …, 2014 | 33 | 2014 |
| Hierarchical reinforcement learning for situated natural language generation N Dethlefs, H Cuayáhuitl Natural Language Engineering 21 (3), 391-435, 2015 | 32 | 2015 |
| Spatially-aware dialogue control using hierarchical reinforcement learning H Cuayáhuitl, N Dethlefs ACM Transactions on Speech and Language Processing (TSLP) 7 (3), 1-26, 2011 | 31 | 2011 |
| Demonstration of the PARLANCE system: a data-driven incremental, spoken dialogue system for interactive search H Hastie, MA Aufaure, P Alexopoulos, H Cuayáhuitl, N Dethlefs, M Gasic, ... Proceedings of the SIGDIAL 2013 Conference, 154-156, 2013 | 29 | 2013 |
| A Dialogue System for Indoor Wayfinding Using Text-Based Natural Language. H Cuayáhuitl, N Dethlefs, KF Richter, T Tenbrink, JA Bateman Int. J. Comput. Linguistics Appl. 1 (1-2), 285-304, 2010 | 28 | 2010 |
| A natural language-based presentation of cognitive stimulation to people with dementia in assistive technology: A pilot study N Dethlefs, M Milders, H Cuayáhuitl, T Al-Salkini, L Douglas Informatics for Health and Social Care 42 (4), 349-360, 2017 | 27 | 2017 |
| Hierarchical multiscale recurrent neural networks for detecting suicide notes AM Schoene, A Turner, GR De Mel, N Dethlefs IEEE Transactions on Affective Computing, 2021 | 24 | 2021 |
| Domain transfer for deep natural language generation from abstract meaning representations N Dethlefs IEEE Computational Intelligence Magazine 12 (3), 18-28, 2017 | 24 | 2017 |
Heriberto CuayáhuitlUniversity of Lincoln, School of Computer Science, UK在 lincoln.ac.uk 的电子邮件经过验证
