| Twenty years of confusion in human evaluation: NLG needs evaluation sheets and standardised definitions DM Howcroft, A Belz, M Clinciu, D Gkatzia, SA Hasan, S Mahamood, ... 13th International Conference on Natural Language Generation 2020, 169-182, 2020 | 184 | 2020 |
| Natural Language Generation enhances human decision-making with uncertain information. D Gkatzia, O Lemon, V Rieser ACL, 2016 | 69 | 2016 |
| A snapshot of NLG evaluation practices 2005-2014 D Gkatzia, S Mahamood Proceedings of the 15th European Workshop on Natural Language Generation …, 2015 | 58 | 2015 |
| Missing information, unresponsive authors, experimental flaws: The impossibility of assessing the reproducibility of previous human evaluations in NLP A Belz, C Thomson, E Reiter, G Abercrombie, JM Alonso-Moral, M Arvan, ... arXiv preprint arXiv:2305.01633, 2023 | 39* | 2023 |
| Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data D Gkatzia, H Hastie, O Lemon ACL, 2014 | 34 | 2014 |
| Underreporting of errors in NLG output, and what to do about it E Van Miltenburg, MA Clinciu, O Dušek, D Gkatzia, S Inglis, L Leppänen, ... arXiv preprint arXiv:2108.01182, 2021 | 33 | 2021 |
| Data-to-text generation improves decision-making under uncertainty D Gkatzia, O Lemon, V Rieser IEEE Computational Intelligence Magazine 12 (3), 10-17, 2017 | 31 | 2017 |
| Generating student feedback from time-series data using Reinforcement Learning D Gkatzia, H Hastie, S Janarthanam, O Lemon Proceedings of the 14th European Workshop on Natural Language Generation …, 2013 | 27 | 2013 |
| Monitoring users’ behavior: anti-immigration speech detection on twitter N Pitropakis, K Kokot, D Gkatzia, R Ludwiniak, A Mylonas, M Kandias Machine Learning and Knowledge Extraction 2 (3), 11, 2020 | 25 | 2020 |
| CAPE: Context-aware private embeddings for private language learning R Plant, D Gkatzia, V Giuffrida arXiv preprint arXiv:2108.12318, 2021 | 21 | 2021 |
| You are what you write: Preserving privacy in the era of large language models R Plant, V Giuffrida, D Gkatzia arXiv preprint arXiv:2204.09391, 2022 | 19 | 2022 |
| Content selection in data-to-text systems: A survey D Gkatzia arXiv preprint arXiv:1610.08375, 2016 | 19 | 2016 |
| Generating unambiguous and diverse referring expressions N Panagiaris, E Hart, D Gkatzia Computer Speech & Language 68, 101184, 2021 | 17 | 2021 |
| From the Virtual to the Real World: Referring to Objects in Real-World Spatial Scenes D Gkatzia, V Rieser, P Bartie, W Mackaness EMNLP, 2015 | 17 | 2015 |
| Gemv2: Multilingual nlg benchmarking in a single line of code S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 15 | 2022 |
| Generating and evaluating landmark-based navigation instructions in virtual environments AC Curry, D Gkatzia, V Rieser Proceedings of the 15th European Workshop on Natural Language Generation …, 2015 | 13 | 2015 |
| Finding middle ground? Multi-objective Natural Language Generation from time-series data D Gkatzia, H Hastie, O Lemon Association for Computational Linguistics (ACL), 2014 | 12 | 2014 |
| How to Talk to Strangers: generating medical reports for first time users. D Gkatzia, V Rieser, O Lemon IEEE International Conference on Fuzzy Systems, 2016 | 10* | 2016 |
| Opportunities and risks in the use of AI in career development practice M Wilson, P Robertson, P Cruickshank, D Gkatzia National Institute for Career Education and Guidance 48 (1), 2022 | 9 | 2022 |
| Improving the naturalness and diversity of referring expression generation models using minimum risk training N Panagiaris, E Hart, D Gkatzia Proceedings of the 13th International Conference on Natural Language …, 2020 | 9 | 2020 |
Verena RieserGoogle DeepMind在 deepmind.com 的电子邮件经过验证
