Presentations
Overview
Upcoming
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December 4, Compositionality decomposed: how about natural language? Rijksuniversiteit Groningen, Groningen (virtual talk)
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August 2021, TBA, Keynote speaker at the workshop Computational and experimental explanations in semantics and pragmatics, Utrecht.
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TBA, Keynote speaker at EurNLP, Paris.
2020
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October 30, Neural networks as explanatory models of language processing, ILCC Seminar at the University of Edinburgh, Edinburgh (virtual talk)
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September 17, Neural networks as explanatory models. AllenNLP, Seattle (virtual talk)
2019
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November 4, Syntax in neural language models: a case study, Universiteit Utrecht, Utrecht.
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October 9 Subject verb agreement in neural language models – how, when and where? Johns Hopkins University, Baltimore.
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October 1, What do they learn? Neural networks, compositionality and interpretability, Computational Cognition workshop, Osnabruek.
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September 3. Guest speaker and panelist at the public event When fake looks all too real: the technology behind Deep Fake, SPUI25, Amsterdam.
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June 18. The typology of emergent languages. Interaction and the Evolution of Linguistic Complexity, Edinburgh.
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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.
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April 18. The compositionality of neural networks: integrating symbolism and connectionism. Internal talk at Saarland University, Saarbrücken.
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March 14. On neural networks and compositionality. Internal seminar at École normale supérieure, Paris.
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2018
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July 18, 2018. Visualisation and ‘diagnostic classifiers’ reveal how recurrent and recursive neural networks process hierarchical structure. IJCAI.
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June 12, 2018. Learning compositionally through attentive guidance. Internal seminar at the University of Copenhagen.
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2017
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May 9, 2017. Processing hierarchical structure with RNNs. Dagstuhl seminar on Human-like neural-symbolic computing.
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December 7, 2017. The grammar of neural networks. SMART workshop Grammars, Computation & Cognition, Amsterdam.
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December 15, 2017. Hierarchical compositionality in recurrent neural networks. Internal seminar at Rijksuniversiteit Groningen.
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2016
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May 25, 2016. POS-tagging of Historical Dutch. LREC, Portoroz.
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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.