dr. Chris van der Lee

Assistant Professor

TSHD: Tilburg School of Humanities and Digital Sciences
TSHD: Department of Communication and Cognition

Courses

Recent publications

  1. ReproHum: 0033-03: How Reproducible Are Fluency Ratings of Generated …

    van Miltenburg, E., Braggaar, A., Braun, N., Goudbeek, M., Krahmer, E., van der Lee, C., Pauws, S., & Tomas, F. (2024). ReproHum: 0033-03: How Reproducible Are Fluency Ratings of Generated Text? A Reproduction of August et al. 2022. In S. Balloccu, A. Belz, R. Huidrom, E. Reiter, J. Sedoc, & C. Thomson (Eds.), Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024 (pp. 132-144). ELRA and ICCL. https://aclanthology.org/2024.humeval-1.13
  2. Missing Information, Unresponsive Authors, Experimental Flaws: The Im…

    Belz, A., Thomson, C., Reiter, E., Abercrombie, G., Alonso-Moral, J. M., Arvan, M., Braggaar, A., Cieliebak, M., Clark, E., van Deemter, K., Dinkar, T., Dušek, O., Eger, S., Fang, Q., Gao, M., Gatt, A., Gkatzia, D., González-Corbelle, J., Hovy, D., ... Yang, D. (2023). Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. In S. Tafreshi, A. Akula, J. Sedoc, A. Drozd, A. Rogers, & A. Rumshisky (Eds.), The Fourth Workshop on Insights from Negative Results in NLP (pp. 1-10). Association for Computational Linguistics.
  3. Patient perspectives on a digital assistant for medication reconcilia…

    Tenfelde, K., Dijkmans, A., Bol, N., van der Lee, C., de Wit, J., & Maat, B. (2023). Patient perspectives on a digital assistant for medication reconciliation: A participatory study comparing socioeconomic groups.
  4. Neural Data-to-Text Generation Based on Small Datasets - Comparing th…

    van der Lee, C., Ferreira, T., Emmery, C., Wiltshire, T., & Krahmer, E. (Accepted/In press). 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. Computational Linguistics, 49(3), 555-611.
  5. How reproducible is best-worst scaling for human evaluation? A reprod…

    van Miltenburg, E., Braggaar, A., Braun, N., Damen, D., Goudbeek, M., van der Lee, C., Tomas, F., & Krahmer, E. (2023). How reproducible is best-worst scaling for human evaluation? A reproduction of `Data-to-text Generation with Macro Planning'. In A. Belz, M. Popović, E. Reiter, C. Thomson, & J. Sedoc (Eds.), Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems (pp. 75-88). Incoma Ltd., Shoumen, Bulgaria. https://aclanthology.org/2023.humeval-1.7

Find an expert or expertise