PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences. - Chris van der Lee; Emiel Krahmer; Sander Wubben (INLG, 2017)

Exploring Lexical and Syntactic Features for Language Variety Identification. - Chris van der Lee; Antal van den Bosch (VarDial, 2017)

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 (COLING, 2018)

Template-based multilingual football reports generation using Wikidata as a knowledge base. - Lorenzo Gatti; Chris van der Lee; Mariët Theune (INLG, 2018)

Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods. - Chris van der Lee; Emiel Krahmer; Sander Wubben (INLG, 2018)

Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign. - Marcos Zampieri; Shervin Malmasi; Preslav Nakov; Ahmed Ali 002; Suwon Shon; James R. Glass; Yves Scherrer; Tanja Samardzic; Nikola Ljubesic; Jörg Tiedemann; Chris van der Lee; Stefan Grondelaers; et al. (VarDial@COLING 2018, 2018)

Automatic identification of writers' intentions: Comparing different methods for predicting relationship goals in online dating profile texts. - Chris van der Lee; Tess van der Zanden; Emiel Krahmer; Maria Mos; Alexander P. Schouten (W-NUT@EMNLP, 2019)

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)

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 (INLG, 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)

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 (INLG, 2020)

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

MEmoFC: introducing the Multilingual Emotional Football Corpus. - Nadine Braun; Chris van der Lee; Lorenzo Gatti; Martijn Goudbeek; Emiel Krahmer (Lang. Resour. Evaluation, 2021)

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)

Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model. - Chris van der Lee; Thiago Castro Ferreira; Chris Emmery; Travis J. Wiltshire; Emiel Krahmer (Comput. Linguistics, 2023)

Patient Perspectives on a Digital Assistant for Medication Reconciliation: An Interview Study Comparing Socioeconomic Groups. - Kim Tenfelde; Ayla Dijkmans; Nadine Bol; Mart Kicken; Chris van der Lee; Jan de Wit; Barbara Maat (Cyberpsychology Behav. Soc. Netw., 2024)

Digital Confessions: The Willingness to Disclose Intimate Information to a Chatbot and its Impact on Emotional Well-Being. - Emmelyn A. J. Croes; Marjolijn L. Antheunis; Chris van der Lee; Jan M. S. de Wit (Interact. Comput., 2024)