Grzegorz

Grzegorz Chrupała

/ˈɡʐɛɡɔʂ xru'pawa/

I am an Associate Professor at the department of Cognitive Science and Artificial Intelligence at Tilburg University, where I lead the Multimodal Language Learning (ℳℒ²) Lab.

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.
See full bio.

Research

at the ℳℒ² Lab is inspired by the ease which young children show for picking up any language they are exposed to, sometimes several languages at the same time, and seemingly with little effort and practically 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 perception and interaction with other people. In contrast the typical way computers learn language is by reading billions of words of written text, at best complemented by captioned static photos. In our lab we work on enabling machines to access rich data in multiple modalities, and find systematic connections between them as a way to learn to understand language in a more natural and data-efficient manner. Our approach will help us explore the limits of human-like learning, and if successful will enable 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.

In my free time I read and take photos.

Note to prospective PhD students: Please check the News section below as well as my Twitter account for announcements of available positions.

News

Twitter | Mastodon

Recent

People

Alumni

Publications

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

Selected papers

  1. Nikolaus, M., Alishahi, A. & Chrupała, G. (2022). Learning English with Peppa Pig. Transactions of the Association for Computational Linguistics, 10, 922–936.
    Paper | Code
  2. 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
  3. 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
  4. 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
  5. Kádár, A., Chrupała, G., & Alishahi, A. (2017). Representation of linguistic form and function in recurrent neural networks. Computational Linguistics, 43(4):761-780.
    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, where he leads the Multimodal Language Learning (or ℳℒ²) Lab. 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. His research focuses 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 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), via ASDI and NWA-ORC grants.

Contact

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

Twitter: @gchrupala
Mastodon: @gchrupala@sigmoid.social
Web:
Email: grzegorz@chrupala.me