Search Results for author: Isabella Södergren

Found 2 papers, 2 papers with code

Data Bias According to Bipol: Men are Naturally Right and It is the Role of Women to Follow Their Lead

1 code implementation7 Apr 2024 Irene Pagliai, Goya van Boven, Tosin Adewumi, Lama Alkhaled, Namrata Gurung, Isabella Södergren, Elisa Barney

We introduce new large labeled datasets on bias in 3 languages and show in experiments that bias exists in all 10 datasets of 5 languages evaluated, including benchmark datasets on the English GLUE/SuperGLUE leaderboards.

Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets

2 code implementations28 Jan 2023 Tosin Adewumi, Isabella Södergren, Lama Alkhaled, Sana Sabah Sabry, Foteini Liwicki, Marcus Liwicki

Hence, we also contribute a new, large Swedish bias-labelled dataset (of 2 million samples), translated from the English version and train the SotA mT5 model on it.

Bias Detection Natural Language Inference +1

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