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Emiel van Miltenburg
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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
2682019
Scalar diversity
B Van Tiel, E Van Miltenburg, N Zevakhina, B Geurts
Journal of semantics 33 (1), 137-175, 2016
2622016
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
2252020
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
2152021
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
1812019
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
1572021
Stereotyping and Bias in the Flickr30K Dataset
E van Miltenburg
LREC 2016 Workshop on Multimodal Corpora, 2016
1132016
Open Dutch WordNet
M Postma, E van Miltenburg, R Segers, A Schoen, P Vossen
8th Global WordNet Conference, 2016
702016
Measuring the Diversity of Automatic Image Descriptions
E van Miltenburg, D Elliott, P Vossen
Proceedings of the 27th International Conference on Computational …, 2018
552018
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
422023
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
382017
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
372021
Sound-based distributional models
A Lopopolo, E van Miltenburg
Proceedings of IWCS 11, 70--75, 2015
362015
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
272023
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
272018
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
212021
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
212016
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
192021
Room for improvement in automatic image description: an error analysis
E van Miltenburg, D Elliott
arXiv preprint arXiv:1704.04198, 2017
152017
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
142018
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