2023

• van Duijn, Max J.*, Bram M.A. van Dijk*, Tom Kouwenhoven*, Werner de Valk, Marco R. Spruit, and Peter W.H. van der Putten. In press. 'Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests'. Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL). 

• van Dijk, Bram M.A.*, Max J. van Duijn*, Suzan Verberne, Marco R. Spruit. In press. 'ChiSCor: A Corpus of Freely Told Fantasy Stories by Dutch Children for Computational Linguistics and Cognitive Science'. Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL).
  **BEST PAPER AWARD CoNLL Singapore 2023**

• van Dijk, Bram M.A., Tom Kouwenhoven, Marco R. Spruit, Max J. van Duijn. In press. 'Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding'. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 

• van Dijk, Bram M.A., Marco R. Spruit, and Max J. van Duijn. Theory of Mind in Freely Told Children's Narratives: A Classification Approach. Findings of the Association for Computational Linguistics 2023: 12979–12993. 

2022

• van Duijn, Max J., Bram M.A. van Dijk, and Marco R. Spruit. Looking from the Inside: How Children Render Character’s Perspectives in Freely Told Fantasy Stories. Proceedings of the 4th Workshop on Narrative Understanding. North American Chapter of the Association for Computational Linguistics.

2021

• van Dijk, B.M.A. and Max J. van Duijn. Modelling Characters’ Mental Depth in Stories Told by Children Aged 4-10. CogSci Proceedings 43: 2384– 2391. 

* Equal contribution

Receiving the CoNLL Best Paper Award in Singapore from David Reitter (Google DeepMind) and Jing Jiang (SMU), also on behalf of Bram van Dijk and the other co-authors.