Grzegorz

Grzegorz Chrupała

/ˈɡʐɛɡɔʂ xru'pawa/

I am an Associate Professor at the department of Cognitive Science and Artificial Intelligence at Tilburg University.

I received my PhD from the School of Computing at Dublin City University. After that I worked as a researcher at the Spoken Language Systems group at Saarland University. I am interested in computation in biological and artificial systems, and connections between them.
See full bio.

In my free time I like reading, taking photos, and hiking.

Research

in my lab focuses on computational approaches to multimodal communication. We often take inspiration from the ease which young children show for picking up languages they are exposed to with little effort and no explicit instruction. The information they rely on is messy and unstructured, but it is rich and multimodal, including speech and gestures, visual and auditory stimuli, and interaction with other people. In contrast, the typical way computers learn language is by reading billions of words of written text.

We work on enabling machines to access rich data in multiple modalities and find systematic connections between them as a way to learn language in a more natural and data-efficient manner.

We explore the limits of human-like learning, aiming to teach computers to deal not only with the world's largest languages, but also with those with little written material, or no writing system at all.

We also develop, apply, and evaluate techniques for understanding computations in deep learning architectures.

News

People

Alumni

Publications

For the complete list of publications check: Google Scholar | Semantic Scholar | DBLP | ACL Anthology | ORCID

Selected papers

  1. Shen, G., Alishahi, A., Bisazza, A., Chrupała, G. (2023) Wave to Syntax: Probing spoken language models for syntax. In Proc. Interspeech 2023 (pp. 1259–1263).
    Paper | Code
  2. Nikolaus, M., Alishahi, A. & Chrupała, G. (2022). Learning English with Peppa Pig. Transactions of the Association for Computational Linguistics, 10, 922–936.
    Paper | Code
  3. Chrupała, G. (2022). Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques. Journal of Artificial Intelligence Research, 73, 673–707.
    Paper
  4. Chrupała, G., & Alishahi, A. (2019). Correlating Neural and Symbolic Representations of Language. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 2952–2962).
    Paper | Code
  5. Chrupała, G., Gelderloos, L., & Alishahi, A. (2017). Representations of language in a model of visually grounded speech signal. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 613–622).
    Paper | Code

Recent Talks

Supervision

Selected MSc theses

Bio

Grzegorz Chrupała is an Associate Professor at the Department of Cognitive Science and Artificial Intelligence at Tilburg University. Previously he did postdoctoral research at the Spoken Language Systems group at Saarland University. He received his doctoral degree from the School of Computing at Dublin City University.

He is interested in computation in biological and artificial systems, and connections between them. His research focuses especially on computational models of learning (spoken) language in naturalistic multimodal settings, as well as analysis and interpretation of representations emerging in deep learning architectures.

He is an Action Editor for TACL, and regularly serves as Senior Area Chair for major NLP and AI conferences such as ACL and EMNLP. He was one of the creators of the popular BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. His research has been funded by the Dutch Research Council (NWO).

Contact

Grzegorz Chrupała
Department of Cognitive Science and Artificial Intelligence
Tilburg University
PO Box 90153
5000 LE Tilburg
The Netherlands

Bluesky: @grzegorz.chrupala.me
Twitter: @gchrupala
Web:
Email: grzegorz@chrupala.me