| 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 | 1287 | 2018 |
| SimpleNLG: A realisation engine for practical applications A Gatt, E Reiter Proceedings of the 12th European workshop on natural language generation …, 2009 | 572 | 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 | 453 | 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 | 335 | 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 | 292 | 2021 |
| 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 | 252 | 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 (3), 281-319, 2006 | 241 | 2006 |
| Unmasking contextual stereotypes: Measuring and mitigating BERT's gender bias M Bartl, M Nissim, A Gatt arXiv preprint arXiv:2010.14534, 2020 | 200 | 2020 |
| Llms instead of human judges? a large scale empirical study across 20 nlp evaluation tasks A Bavaresco, R Bernardi, L Bertolazzi, D Elliott, R Fernández, A Gatt, ... Proceedings of the 63rd Annual Meeting of the Association for Computational …, 2025 | 182 | 2025 |
| Factors causing overspecification in definite descriptions R Koolen, A Gatt, M Goudbeek, E Krahmer Journal of Pragmatics 43 (13), 3231-3250, 2011 | 159 | 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 | 149 | 2018 |
| VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena L Parcalabescu, M Cafagna, L Muradjan, A Frank, I Calixto, A Gatt Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 143 | 2022 |
| 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 | 126 | 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 | 123 | 2008 |
| Bitcoin price change and trend prediction through twitter sentiment and data volume JV Critien, A Gatt, J Ellul Financial Innovation 8 (1), 1-20, 2022 | 119 | 2022 |
| 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 | 119 | 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 | 115 | 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 | 109 | 2006 |
| What is the role of recurrent neural networks (rnns) in an image caption generator? M Tanti, A Gatt, K Camilleri Proceedings of the 10th international conference on natural language …, 2017 | 106 | 2017 |
| Generation of referring expressions: Assessing the incremental algorithm K Deemter, A Gatt, I Sluis, R Power Cognitive science 36 (5), 799-836, 2012 | 102 | 2012 |
Kees van DeemterProfessor in Computing Science, University of AberdeenVerified email at abdn.ac.uk
