| 2021 | NAACL | Preregistering NLP research. | Emiel van Miltenburg, Chris van der Lee, Emiel Krahmer |
| 2020 | INLG | The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation. | Chris van der Lee, Chris Emmery, Sander Wubben, Emiel Krahmer |
| 2019 | EMNLP | 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 |
| 2019 | INLG | A Personalized Data-to-Text Support Tool for Cancer Patients. | Saar Hommes, Chris van der Lee, Felix J. Clouth, Jeroen K. Vermunt, Xander Verbeek, Emiel Krahmer |
| 2019 | INLG | Best practices for the human evaluation of automatically generated text. | Chris van der Lee, Albert Gatt, Emiel van Miltenburg, Sander Wubben, Emiel Krahmer |
| 2018 | COLING | Evaluating the text quality, human likeness and tailoring component of PASS: A Dutch data-to-text system for soccer. | Chris van der Lee, Bart Verduijn, Emiel Krahmer, Sander Wubben |
| 2018 | INLG | Template-based multilingual football reports generation using Wikidata as a knowledge base. | Lorenzo Gatti, Chris van der Lee, Marit Theune |
| 2018 | INLG | Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods. | Chris van der Lee, Emiel Krahmer, Sander Wubben |
| 2017 | INLG | PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences. | Chris van der Lee, Emiel Krahmer, Sander Wubben |