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 |
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 | 182 | 2020 |
The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 129 | 2021 |
Method and apparatus for document planning S Mahamood US Patent 10,664,558, 2020 | 109 | 2020 |
Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021 | 66 | 2021 |
Generating Affective Natural Language for Parents of Neonatal Infants S Mahamood, E Reiter Proceedings of the 13th European Workshop on Natural Language Generation …, 2011 | 64 | 2011 |
A snapshot of NLG evaluation practices 2005-2014 D Gkatzia, S Mahamood Proceedings of the 15th European Workshop on Natural Language Generation …, 2015 | 56 | 2015 |
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 | 32 | 2021 |
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 | 30 | 2023 |
Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... Joniak, Denis Kleyko, Venelin Kovatchev, and et al, 2021 | 17 | 2021 |
Automatic construction of evaluation suites for natural language generation datasets S Mille, KD Dhole, S Mahamood, L Perez-Beltrachini, V Gangal, M Kale, ... arXiv preprint arXiv:2106.09069, 2021 | 16 | 2021 |
Gemv2: Multilingual nlg benchmarking in a single line of code S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ... arXiv preprint arXiv:2206.11249, 2022 | 15 | 2022 |
Neonatal intensive care information for parents an affective approach S Mahamood, E Reiter, C Mellish 2008 21st IEEE International Symposium on Computer-Based Medical Systems …, 2008 | 14 | 2008 |
Working with clinicians to improve a patient-information NLG system S Mahamood, E Reiter INLG 2012 Proceedings of the Seventh International Natural Language …, 2012 | 9 | 2012 |
Generating annotated graphs using the NLG pipeline architecture S Mahamood, W Bradshaw, E Reiter Proceedings of the 8th International Natural Language Generation Conference …, 2014 | 8 | 2014 |
Needle in a haystack: An analysis of high-agreement workers on mturk for summarization L Zhang, S Mille, Y Hou, D Deutsch, E Clark, Y Liu, S Mahamood, ... arXiv preprint arXiv:2212.10397, 2022 | 7 | 2022 |
Involving healthcare consumers in knowledge acquisition for virtual healthcare W Moncur, S Mahamood, E Reiter, Y Freer 2009 AAAI Fall Symposium Series, 2009 | 7 | 2009 |
A comparison of hedged and non-hedged NLG texts S Mahamood, E Reiter, C Mellish Proceedings of the Eleventh European Workshop on Natural Language Generation …, 2007 | 6 | 2007 |
Barriers and enabling factors for error analysis in NLG research E Van Miltenburg, M Clinciu, O Dušek, D Gkatzia, S Inglis, L Leppänen, ... Northern European Journal of Language Technology 9 (1), 2023 | 5 | 2023 |
It’s commonsense, isn’t it? demystifying human evaluations in commonsense-enhanced NLG systems M Clinciu, D Gkatzia, S Mahamood Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval), 1-12, 2021 | 5 | 2021 |