Karolina Stańczak (original) (raw)

I am a third-year PhD student at the University of Copenhagen supervised by Professor Isabelle Augenstein. Before joining the CopeNLU group I’ve completed the MSc in Statistics at the Humboldt University of Berlin. Before that, I’ve obtained a Bachelor of Science in Economics also at the Humboldt University of Berlin. I’m a member of Rycolab at ETH Zürich co-supervised by Ryan Cotterell.

My PhD work focuses on gender bias detection in cross-lingual setups and interpretability. My primary research interests are bias and fairness in NLP, interpretability, and statistical methods.

Besides, prior to starting my PhD I have worked as a data science consultant for Deloitte Analytics Institute.

You can find me on: Twitter, GitHub, LinkedIn.

selected publications

ACL
Measuring Intersectional Biases in Historical Documents
Nadav Borenstein, Karolina Stańczak, Thea Rolskov, Natália da Silva Perez, Natacha Klein Käfer, Isabelle Augenstein
ACL 2023
AAAI
A Latent-Variable Model for Intrinsic Probing
Karolina Stańczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, and Isabelle Augenstein
AAAI 2023
EACL
Measuring Gender Bias in West Slavic Language Models
EACL 2023
NAACL
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models
Karolina Stańczak, Edoardo Ponti, Lucas Torroba Hennigen, Ryan Cotterell, and Isabelle Augenstein
In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2022
PLOS ONE
Quantifying Gender Biases Towards Politicians on Reddit
Sara Vera Marjanovic, Karolina Stańczak, and Isabelle Augenstein
PLOS ONE 2022
A Survey on Gender Bias in Natural Language Processing
Karolina Stańczak, and Isabelle Augenstein
ArXiv 2021
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models
Karolina Stańczak, Sagnik Ray Choudhury, Tiago Pimentel, Ryan Cotterell, and Isabelle Augenstein
ArXiv 2021