Survey of the state of the art in natural language generation: Core tasks, applications and evaluation A Gatt, E Krahmer Journal of Artificial Intelligence Research 61, 65-170, 2018 | 1037 | 2018 |
SimpleNLG: A realisation engine for practical applications A Gatt, E Reiter Proceedings of the 12th European workshop on natural language generation …, 2009 | 548 | 2009 |
Automatic generation of textual summaries from neonatal intensive care data F Portet, E Reiter, A Gatt, J Hunter, S Sripada, Y Freer, C Sykes Artificial Intelligence 173 (7-8), 789-816, 2009 | 416 | 2009 |
In pursuit of satisfaction and the prevention of embarrassment: affective state in group recommender systems J Masthoff, A Gatt User Modeling and User-Adapted Interaction 16, 281-319, 2006 | 227 | 2006 |
From data to text in the neonatal intensive care unit: Using NLG technology for decision support and information management A Gatt, F Portet, E Reiter, J Hunter, S Mahamood, W Moncur, S Sripada AI Communications 22 (3), 153-186, 2009 | 223 | 2009 |
Best practices for the human evaluation of automatically generated text C Van Der Lee, A Gatt, E Van Miltenburg, S Wubben, E Krahmer Proceedings of the 12th International Conference on Natural Language …, 2019 | 221 | 2019 |
Human evaluation of automatically generated text: Current trends and best practice guidelines C van der Lee, A Gatt, E van Miltenburg, E Krahmer Computer Speech & Language 67, 101151, 2021 | 153 | 2021 |
Factors causing overspecification in definite descriptions R Koolen, A Gatt, M Goudbeek, E Krahmer Journal of Pragmatics 43 (13), 3231-3250, 2011 | 138 | 2011 |
Where to put the image in an image caption generator M Tanti, A Gatt, KP Camilleri Natural Language Engineering 24 (3), 467-489, 2018 | 123 | 2018 |
Unmasking contextual stereotypes: Measuring and mitigating BERT's gender bias M Bartl, M Nissim, A Gatt arXiv preprint arXiv:2010.14534, 2020 | 121 | 2020 |
Evaluating algorithms for the generation of referring expressions using a balanced corpus A Gatt, I Van Der Sluis, K Van Deemter Proceedings of the 11th European Workshop on Natural Language Generation …, 2007 | 121 | 2007 |
Using natural language generation technology to improve information flows in intensive care units J Hunter, A Gatt, F Portet, E Reiter, S Sripada Proceedings of the 18th European Conference on Artificial Intelligence (ECAL …, 2008 | 114 | 2008 |
The importance of narrative and other lessons from an evaluation of an NLG system that summarises clinical data E Reiter, A Gatt, F Portet, M Van Der Meulen Proceedings of the 5th International Conference on Natural Language …, 2008 | 110 | 2008 |
Summarising complex ICU data in natural language J Hunter, Y Freer, A Gatt, R Logie, N McIntosh, M Van Der Meulen, ... Procedings of the AMIA Annual Symposium (AMIA'08) 2008, 323, 2008 | 107 | 2008 |
Building a Semantically Transparent Corpus for the Generation of Referring Expressions. K van Deemter, I van der Sluis, A Gatt Proceedings of the Fourth International Natural Language Generation …, 2006 | 101 | 2006 |
Generation of referring expressions: Assessing the incremental algorithm K Deemter, A Gatt, I Sluis, R Power Cognitive science 36 (5), 799-836, 2012 | 96 | 2012 |
Automatic generation of natural language nursing shift summaries in neonatal intensive care: BT-Nurse J Hunter, Y Freer, A Gatt, E Reiter, S Sripada, C Sykes Artificial intelligence in medicine 56 (3), 157-172, 2012 | 95 | 2012 |
What is the role of recurrent neural networks (rnns) in an image caption generator? M Tanti, A Gatt, KP Camilleri arXiv preprint arXiv:1708.02043, 2017 | 92 | 2017 |
Toward a computational psycholinguistics of reference production K Van Deemter, A Gatt, RPG Van Gompel, E Krahmer Topics in cognitive science 4 (2), 166-183, 2012 | 87 | 2012 |
Text Content and Task Performance in the Evaluation of a Natural Language Generation System. A Gatt, F Portet Proceedings of the Conference on Recent Advances in Natural Language …, 2009 | 87 | 2009 |