• Warandelaan 2, Dante Building, room D 326

    5037 AB Tilburg


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Personal profile

Research interests

My research is focused on computational language learning and its applications in language understanding and text analytics. I am affiliated with the Tilburg Center for Cognition and Communication

Current courses

Click here for my courses.


  • Machine Learning
  • Neural Networks
  • Computational Linguistics
  • Artificial Intelligence

Fingerprint Dive into the research topics where Grzegorz Chrupala is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 4 Similar Profiles
Linguistics Engineering & Materials Science
Semantics Engineering & Materials Science
Labeling Engineering & Materials Science
Recurrent neural networks Engineering & Materials Science
Classifiers Engineering & Materials Science
Computational linguistics Engineering & Materials Science
Supervised learning Engineering & Materials Science
Syntactics Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1998 2019

Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop

Alishahi, A., Chrupala, G. & Linzen, T., 2019, (Submitted) In : Natural Language Engineering.

Research output: Contribution to journalArticleScientific

On the difficulty of a distributional semantics of spoken language

Chrupała, G., Gelderloos, L., Kádár, Á. & Alishahi, A., 2019, Proceedings of the Society for Computation in Linguistics. Vol. 2.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
Unsupervised learning
Speech processing

Symbolic inductive bias for visually grounded learning of spoken language

Chrupala, G., 2019, (Accepted/In press).

Research output: Contribution to conferencePaperOther research output


Attribute Obfuscation with Gradient Reversal

Emmery, C., Manjavacas, E. & Chrupala, G., Jan 2018.

Research output: Contribution to conferenceAbstractOther research output

Computational methods

Lessons Learned in Multilingual Grounded Language Learning

Kádár, Á., Elliott, D., Côte, M-A., Chrupala, G. & Alishahi, A., 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning. Association for Computational Linguistics, p. 402-412 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Prizes / Recognition

CoNLL 2017 Best Paper Award

Afra Alishahi (Recipient), Marie Barking (Recipient) & Grzegorz Chrupala (Recipient), 2017