Venue: IberLEF 2022 (Iberian Languages Evaluation Forum)
Authors: D. Liakhovets, M. Schütz, J. Böck, M. Andresel, A. Kirchknopf, A. Babic, D. Slijepčević, J. Lampert, A. Schindler, M. Zeppelzauer
This paper investigates transfer learning with multilingual transformer models for automatic sexism detection, examining how models trained across languages can be adapted to flag sexist content. The multilingual angle is key for moderation systems that have to work beyond a single language.
It's part of my ongoing research line on automated detection of harmful and discriminatory content online.
BibTeX and details: https://icmt.ustp.at/bibtex/download/DRMWXTBM