Dieuwke Hupkes bio photo

Dieuwke Hupkes

Research scientist at FAIR, ELLIS Amsterdam enthusiast, interested in structures in language

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Curriculum Vitae


Presentations

Overview

Upcoming

2024

  • January 24 Evaluation, generalisation and understanding in the era of LLMs, ILLC

2023

2022

2021

  • August 9, Compositionality in the era of neural networks. Keynote at the workshop Computational and experimental explanations in semantics and pragmatics.
    [slides]

  • April 28, Compositionality Decomposed: how do neural networks generalise? Tel Aviv University (virtual talk).

  • March 17, Kunnen we kunstmatige intelligentie nog doorgronden? Studium Generale, Utrecht (virtual talk).
    [recording]

  • February 11, Compositionality decomposed: how do neural networks generalise? Woman@CL, Cambridge (virtual talk).

  • February 5, Compositionality decomposed: how about natural language? Rijksuniversiteit Groningen, Groningen (virtual talk).

2020

  • October 30, Neural networks as explanatory models of language processing, ILCC Seminar at the University of Edinburgh, Edinburgh (virtual talk)
    [abstract]

  • September 17, Neural networks as explanatory models. AllenNLP, Seattle (virtual talk)

2019

  • 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.
    [slides]

  • 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.
    [slides]

  • 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.
    [slides]

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

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

2018

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

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

2017

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

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

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

2016

  • 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.
    [slides]

2015

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