| Best practices for the human evaluation of automatically generated text C van der Lee, A Gatt, E van Miltenburg, S Wubben, E Krahmer The 12th International Conference on Natural Language Generation (INLG 2019), 2019 | 252 | 2019 |
| Scalar diversity B Van Tiel, E Van Miltenburg, N Zevakhina, B Geurts Journal of semantics 33 (1), 137-175, 2016 | 250 | 2016 |
| 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 | 214 | 2020 |
| 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 | 190 | 2021 |
| Neural data-to-text generation: A comparison between pipeline and end-to-end architectures TC Ferreira, C van der Lee, E Van Miltenburg, E Krahmer arXiv preprint arXiv:1908.09022, 2019 | 176 | 2019 |
| The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... Proceedings of the 1st Workshop on Natural Language Generation, Evaluation …, 2021 | 147 | 2021 |
| Stereotyping and Bias in the Flickr30K Dataset E van Miltenburg LREC 2016 Workshop on Multimodal Corpora, 2016 | 111 | 2016 |
| Open Dutch WordNet M Postma, E van Miltenburg, R Segers, A Schoen, P Vossen 8th Global WordNet Conference, 2016 | 70 | 2016 |
| Measuring the Diversity of Automatic Image Descriptions E van Miltenburg, D Elliott, P Vossen Proceedings of the 27th International Conference on Computational …, 2018 | 55 | 2018 |
| 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 |
| Cross-linguistic differences and similarities in image descriptions E van Miltenburg, D Elliott, P Vossen 10th International Conference on Natural Language Generation (INLG), 21–30, 2017 | 38 | 2017 |
| 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 | 37 | 2021 |
| Sound-based distributional models A Lopopolo, E van Miltenburg Proceedings of IWCS 11, 70--75, 2015 | 36 | 2015 |
| DIDEC: The Dutch Image Description and Eye-tracking Corpus E van Miltenburg, Á Kádár, R Koolen, E Krahmer Proceedings of the 27th International Conference on Computational …, 2018 | 27 | 2018 |
| Multidimensional signals and analytic flexibility: Estimating degrees of freedom in human-speech analyses S Coretta, JV Casillas, S Roessig, M Franke, B Ahn, AH Al-Hoorie, ... Advances in Methods and Practices in Psychological Science 6 (3 …, 2023 | 21 | 2023 |
| Preregistering NLP research E Van Miltenburg, C van der Lee, E Krahmer Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 21 | 2021 |
| Pragmatic factors in image description: the case of negations E van Miltenburg, R Morante, D Elliott Proceedings of the 5th Workshop on Vision and Language, 2016 | 21 | 2016 |
| 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 | 19 | 2021 |
| Room for improvement in automatic image description: an error analysis E van Miltenburg, D Elliott arXiv preprint arXiv:1704.04198, 2017 | 15 | 2017 |
| Talking about other people: an endless range of possibilities E Van Miltenburg, D Elliott, P Vossen Proceedings of the 11th International Conference on Natural Language …, 2018 | 14 | 2018 |
Emiel KrahmerTilburg Universityuvt.nl의 이메일 확인됨