Charlotte Pouw joined us as a new PhD-student! She will work on interpretability methods as part of the InDeep consortium.


We have a paper accepted at ISMIR2021 where we introduce a new representation for melodic contour: cosine contours. The representation is motivated by an interesting observation: the principal components of melodies are shaped as cosines.

We are very happy that Marianne de Heer Kloots is continuing as a PhD student in our lab! Welcome, Marianne!


We won a best paper award for the best multi/interdisciplinary research at ISMIR2020 for our paper on mode classification in plainchant.

We presented a paper at DLfM 2020 where we introduce Chant21, a Python library for working with plainchant in music21, and two large datasets, CantusCorpus and GregoBaseCorpus. In the paper we also discuss two case studies on the melodic arch hypothesis and, essentially, melodic predictability in parts of chants known as differentiae.


We now have a simple demo online that accompagnies our 2018 CMCL paper on decoding brain activity. You can find the demo here.

We now have a simple demo online that accompagnies our 2018 JAIR paper Visualisation and ‘diagnostic classifiers’ reveal how recurrent and recursive neural networks process hierarchical structure by Dieuwke Hupkes, Sara Veldhoen and Willem Zuidema.


The CLC-lab was represented at ACL’16 in Berlin at two workshops: Cognitive Aspects of Computational Language Learning and the 1st Workshop on Representation Learning for NLP.

Jelle was interviewed by Gisela Govaart for SMART Cognitive Science. You can read the interview here

Phong Le successfully defended his PhD thesis, entitled “Learning Vector Representations for Sentences – The Recursive Deep Learning Approach”. Committee members were Max Welling, Mirella Lapata, Marco Baroni, Raquel Fernandez and Ivan Titov.