Παρακολούθηση
Nina Dethlefs
Nina Dethlefs
Professor of Computer Science, Loughborough University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα lboro.ac.uk - Αρχική σελίδα
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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
2202023
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
1152021
Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines
J Chatterjee, N Dethlefs
Wind Energy 23 (8), 1693-1710, 2020
732020
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
622016
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
462011
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
422012
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
402011
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
382010
Generating adaptive route instructions using hierarchical reinforcement learning
H Cuayáhuitl, N Dethlefs, L Frommberger, KF Richter, J Bateman
International conference on spatial cognition, 319-334, 2010
372010
Hierarchical multiscale recurrent neural networks for detecting suicide notes
AM Schoene, A Turner, GR De Mel, N Dethlefs
IEEE Transactions on Affective Computing, 2021
362021
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
362013
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
362013
Hierarchical reinforcement learning for adaptive text generation
N Dethlefs, H Cuayáhuitl
Proceedings of the 6th International Natural Language Generation Conference, 2010
362010
Real-time social media sentiment analysis for rapid impact assessment of floods
L Bryan-Smith, J Godsall, F George, K Egode, N Dethlefs, D Parsons
Computers & Geosciences 178, 105405, 2023
342023
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
332017
Hierarchical reinforcement learning for situated natural language generation
N Dethlefs, H Cuayáhuitl
Natural Language Engineering 21 (3), 391-435, 2015
322015
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
322014
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
302011
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
292013
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
292010
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