Papers by Urban Knupleš
Gender Identity in Pretrained Language Models: An Inclusive Approach to Data Creation and Probing (2024.findings-emnlp)
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| Challenge: | Pretrained language models encode binary gender information of text authors, raising the risk of skewed representations and downstream harms. |
| Approach: | They use a corpus of YouTube transcripts from transgender, cisgender and non-binary speakers to examine whether pretrained language models encode binary gender information. |
| Outcome: | The proposed model encodes gender information for all gender identities but to different extents. |