Bram van Dijk
- Name
- Dr. B.M.A. van Dijk MSc
Bram van Dijk has a background in social science and philosophy of science. His PhD-project aims to unravel mindreading in children by collecting and studying children’s fantasy stories with tools from the Natural Language Processing (NLP) field. In addition, he explores the potential of modern NLP-tools with respect to the intricacies of child speech with the story corpus currently in compilation.
- Dijk B.M.A. van (17 January 2025), Theory of mind in language, minds, and machines: a multidisciplinary approach (Dissertatie. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University). Supervisor(s) and Co-supervisor(s): Spruit M.R., Duijn M.J. van.
- Dijk B.M.A. van, Duijn M.J. van, Kloostra L., Spruit M.R. & Beekhuizen B. (2024), Using a language model to unravel semantic development in children’s use of a Dutch perception verb. Zock M., Chersoni E., Hsu Y.Y. & De Deyne S. (Eds.), Proceedings of the Workshop on cognitive aspects of the lexicon (CogaLex@LREC-COLING 2024). Proceedings of the Workshop on Cognitive Aspects of the Lexicon @ LREC-COLING 2024 20 May 2024 - 20 May 2024: ELRA Language Resources Association (ELRA). 98–106.
- Kouwenhoven T., Peeperkorn M., Dijk B.M.A. van & Verhoef T. (2024), The curious case of representational alignment: unravelling visio-linguistic tasks in emergent communication. Kuribayashi T., Rambelli G., Takmaz E., Wicke P. & Oseki Y. (Eds.), Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics. Workshop on Cognitive Modeling and Computational Linguistics 15 August 2024 - 15 August 2024: Association for Computational Linguistics. 57-71.
- Dijk B.M.A. van, Spruit M.R. & Duijn M.J. van (2023), Theory of mind in freely-told children’s narratives: a classification approach. Rogers A., Boyd-Graber J. & Okazaki N. (Eds.), Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics 9 July 2023 - 13 July 2023. Toronto: Assocation for Computational Linguistics. 12979-12993.
- Dijk B.M.A. van, Duijn M.J. van, Verberne S. & Spruit M. (2023), ChiSCor: a corpus of freely-told fantasy stories by Dutch children for computational linguistics and cognitive science. Jing J., Reitter D. & Deng S. (Eds.), Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL). 27th Conference on Computational Natural Language Learning (CoNLL) 6 December 2023 - 7 December 2023. Singapore: Association for Computational Linguistics. 352–363.
- Dijk B.M.A. van, Kouwenhoven T., Spruit M. & Duijn M.J. van (2023), Large language models: the need for nuance in current debates and a pragmatic perspective on understanding. Bouamor H., Pino J. & Bali K. (Eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023 Conference on Empirical Methods in Natural Language Processing 6 December 2023 - 10 December 2023. Singapore: Association for Computational Linguistics. 12641–12654.
- Duijn M.J. van, Dijk B.M.A. van, Kouwenhoven T., Valk W. de, Spruit M. & Putten P.W.H. van der (2023), Theory of mind in large language models: examining performance of 11 state-of-the-art models vs. children aged 7-10 on advanced tests. Jiang J., Reitter D. & Deng S. (Eds.), Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL). 27th Conference on Computational Natural Language Learning (CoNLL) 6 December 2023 - 7 December 2023. Singapore: Association for Computational Linguistics. 389–402.
- Duijn M.J. van, Dijk B.M.A. van & Spuit M.R. (2022), Looking from the inside: how children render character’s perspectives in freely told fantasy stories. Clark E., Brahman F. & Iyyer M. (Eds.), ACL Proceedings of the 4th workshop of narrative understanding (WNU2022). . Seattle 66-76.
- Dijk B.M.A. van & Duijn M.J. van (2021), Modelling characters’ mental depth in stories told by children aged 4-10. In: Proceedings of the annual meeting of the cognitive science society. no. 43: The Cognitive Science Society. 2384-2391.