Sound-based distributional models. - Alessandro Lopopolo; Emiel van Miltenburg (IWCS, 2015)

Detecting and ordering adjectival scalemates. - Emiel van Miltenburg (CoRR, 2015)

Pragmatic Factors in Image Description: The Case of Negations. - Emiel van Miltenburg; Roser Morante; Desmond Elliott (VL@ACL, 2016)

The VU Sound Corpus: Adding More Fine-grained Annotations to the Freesound Database. - Emiel van Miltenburg; Benjamin Timmermans; Lora Aroyo (LREC, 2016)

WordNet-based similarity metrics for adjectives. - Emiel van Miltenburg (GWC, 2016)

Open Dutch WordNet. - Marten Postma; Emiel van Miltenburg; Roxane Segers; Anneleen Schoen; Piek Vossen (GWC, 2016)

Stereotyping and Bias in the Flickr30K Dataset. - Emiel van Miltenburg (CoRR, 2016)

Scalar Diversity. - Bob van Tiel; Emiel van Miltenburg; Natalia Zevakhina; Bart Geurts (J. Semant., 2016)

Pragmatic descriptions of perceptual stimuli. - Emiel van Miltenburg (EACL (Student Research Workshop), 2017)

Cross-linguistic differences and similarities in image descriptions. - Emiel van Miltenburg; Desmond Elliott; Piek Vossen (INLG, 2017)

Room for improvement in automatic image description: an error analysis. - Emiel van Miltenburg; Desmond Elliott (CoRR, 2017)

Measuring the Diversity of Automatic Image Descriptions. - Emiel van Miltenburg; Desmond Elliott; Piek Vossen (COLING, 2018)

DIDEC: The Dutch Image Description and Eye-tracking Corpus. - Emiel van Miltenburg; Ákos Kádár; Ruud Koolen; Emiel Krahmer (COLING, 2018)

Talking about other people: an endless range of possibilities. - Emiel van Miltenburg; Desmond Elliott; Piek Vossen (INLG, 2018)

Varying image description tasks: spoken versus written descriptions. - Emiel van Miltenburg; Ruud Koolen; Emiel Krahmer (VarDial@COLING 2018, 2018)

Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. - Thiago Castro Ferreira; Chris van der Lee; Emiel van Miltenburg; Emiel Krahmer (EMNLP/IJCNLP (1), 2019)

Best practices for the human evaluation of automatically generated text. - Chris van der Lee; Albert Gatt; Emiel van Miltenburg; Sander Wubben; Emiel Krahmer (INLG, 2019)

On task effects in NLG corpus elicitation: a replication study using mixed effects modeling. - Emiel van Miltenburg; Merel van de Kerkhof; Ruud Koolen; Martijn Goudbeek; Emiel Krahmer (INLG, 2019)

Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching. - Sarah Ibrahimi; Shuo Chen 010; Devanshu Arya; Arthur Câmara; Yunlu Chen; Tanja Crijns; Maurits van der Goes; Thomas Mensink; Emiel van Miltenburg; Daan Odijk; William Thong; Jiaojiao Zhao; et al. (ACM Multimedia, 2019)

Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions. - David M. Howcroft; Anya Belz; Miruna-Adriana Clinciu; Dimitra Gkatzia; Sadid A. Hasan; Saad Mahamood; Simon Mille; Emiel van Miltenburg; Sashank Santhanam; Verena Rieser (INLG, 2020)

Gradations of Error Severity in Automatic Image Descriptions. - Emiel van Miltenburg; Wei-Ting Lu; Emiel Krahmer; Albert Gatt; Guanyi Chen; Lin Li; Kees van Deemter (INLG, 2020)

On the use of human reference data for evaluating automatic image descriptions. - Emiel van Miltenburg (CoRR, 2020)

Underreporting of errors in NLG output, and what to do about it. - Emiel van Miltenburg; Miruna-Adriana Clinciu; Ondrej Dusek; Dimitra Gkatzia; Stephanie Inglis; Leo Leppänen; Saad Mahamood; Emma Manning; Stephanie Schoch; Craig Thomson; Luou Wen (INLG, 2021)

Preregistering NLP research. - Emiel van Miltenburg; Chris van der Lee; Emiel Krahmer (NAACL-HLT, 2021)

Automatic Construction of Evaluation Suites for Natural Language Generation Datasets. - Simon Mille; Kaustubh D. Dhole; Saad Mahamood; Laura Perez-Beltrachini; Varun Gangal; Mihir Sanjay Kale; Emiel van Miltenburg; Sebastian Gehrmann (NeurIPS Datasets and Benchmarks, 2021)

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. - Sebastian Gehrmann; Tosin P. Adewumi; Karmanya Aggarwal; Pawan Sasanka Ammanamanchi; Aremu Anuoluwapo; Antoine Bosselut; Khyathi Raghavi Chandu; Miruna-Adriana Clinciu; Dipanjan Das 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (CoRR, 2021)

Human evaluation of automatically generated text: Current trends and best practice guidelines. - Chris van der Lee; Albert Gatt; Emiel van Miltenburg; Emiel Krahmer (Comput. Speech Lang., 2021)

Implicit causality in GPT-2: a case study. - Hien Huynh; Tomas O. Lentz; Emiel van Miltenburg (CoRR, 2022)

Evaluating NLG systems: A brief introduction. - Emiel van Miltenburg (CoRR, 2023)

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. - Anya Belz; Craig Thomson; Ehud Reiter; Gavin Abercrombie; Jose Maria Alonso-Moral; Mohammad Arvan; Jackie Chi Kit Cheung; Mark Cieliebak; Elizabeth Clark; Kees van Deemter; Tanvi Dinkar; Ondrej Dusek; et al. (CoRR, 2023)

Evaluating Task-oriented Dialogue Systems: A Systematic Review of Measures, Constructs and their Operationalisations. - Anouck Braggaar; Christine Liebrecht; Emiel van Miltenburg; Emiel J. Krahmer (CoRR, 2023)

Analyzing Patterns of Conversational Breakdown in Human-Chatbot Customer Service Conversations. - Anouck Braggaar; Florian Kunneman; Emiel van Miltenburg (CONVERSATIONS, 2024)

Image captioning in different languages. - Emiel van Miltenburg (CoRR, 2024)

Dual use issues in the field of Natural Language Generation. - Emiel van Miltenburg (CoRR, 2025)

Natural Language Generation. - Emiel van Miltenburg; Chenghua Lin (CoRR, 2025)