Dieuwke Hupkes bio photo

Dieuwke Hupkes

Temporary lecturer at the University of Amsterdam, interested in structures in language

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Visiting address

Room F2.26
Building F
Science Park 107
1098 XG Amsterdam

Curriculum Vitae





  • November 4, Syntax in neural language models: a case study, Universiteit Utrecht, Utrecht. [slides]

  • October 9 Subject verb agreement in neural language models – how, when and where? Johns Hopkins University, Baltimore.

  • October 1, What do they learn? Neural networks, compositionality and interpretability, Computational Cognition workshop, Osnabruek.
    [slides] [recording]

  • September 3. Guest speaker and panelist at the public event When fake looks all too real: the technology behind Deep Fake, SPUI25, Amsterdam.
    [slides] [recording]

  • June 18. The typology of emergent languages. Interaction and the Evolution of Linguistic Complexity, Edinburgh.

  • May 6. The compositionality of neural networks: integrating symbolism and connectionism. CS&AI / SIKS workshop on analyzing and interpreting neural networks for NLP, ‘s-Hertogenbosch.

  • April 18. The compositionality of neural networks: integrating symbolism and connectionism. Internal talk at Saarland University, Saarbrücken.

  • March 14. On neural networks and compositionality. Internal seminar at École normale supérieure, Paris.


  • July 18, 2018. Visualisation and ‘diagnostic classifiers’ reveal how recurrent and recursive neural networks process hierarchical structure. IJCAI.

  • June 12, 2018. Learning compositionally through attentive guidance. Internal seminar at the University of Copenhagen.


  • May 9, 2017. Processing hierarchical structure with RNNs. Dagstuhl seminar on Human-like neural-symbolic computing.

  • December 7, 2017. The grammar of neural networks. SMART workshop Grammars, Computation & Cognition, Amsterdam.

  • December 15, 2017. Hierarchical compositionality in recurrent neural networks. Internal seminar at Rijksuniversiteit Groningen.


  • May 25, 2016. POS-tagging of Historical Dutch. LREC, Portoroz.

  • November 22, 2016. How may neural networks process hierarchical structure? Insights from recursive and recurrent networks learning arithmetics. Logic Tea at the University of Amsterdam.


  • June 8, 2015. Using Parallel Data to improve Part-of-Speech tagging of 17th century Dutch. DH Benelux, Antwerp.