activity
20152025
most citedThe GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

52 citations · 74 across the 11 of their papers we have counts for

collaborators

18 papers

cs.CL2025

Natural Language Generation

Emiel van Miltenburg, Chenghua Lin

This article provides a brief overview of the field of Natural Language Generation. The term Natural Language Generation (NLG), in its broadest definition, refers to the study of s…

cs.CL2025

Dual use issues in the field of Natural Language Generation

Emiel van Miltenburg

This report documents the results of a recent survey in the SIGGEN community, focusing on Dual Use issues in Natural Language Generation (NLG). SIGGEN is the Special Interest Group…

cs.CL2024

Image captioning in different languages

Emiel van Miltenburg

This short position paper provides a manually curated list of non-English image captioning datasets (as of May 2024). Through this list, we can observe the dearth of datasets in di…

cs.CL2023★ 1 cited

Evaluating Task-oriented Dialogue Systems: A Systematic Review of Measures, Constructs and their Operationalisations

Anouck Braggaar, Christine Liebrecht, Emiel van Miltenburg +1

This review gives an extensive overview of evaluation methods for task-oriented dialogue systems, paying special attention to practical applications of dialogue systems, for exampl…

cs.CL2023★ 4 cited

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP

Anya Belz, Craig Thomson, Ehud Reiter +39

We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human evaluations in NLP more/le…

cs.CL2023

Evaluating NLG systems: A brief introduction

Emiel van Miltenburg

This year the International Conference on Natural Language Generation (INLG) will feature an award for the paper with the best evaluation. The purpose of this award is to provide a…