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    <abstract>According to the United Nations Development Programme, gender inequality is a metric that is composed of three dimensions: reproductive health, empowerment, and the labour market. Gender inequality is an obstacle to equal opportunities in society as a whole. In this paper we present our work-in-progress of designing and playing a physical game with digital elements. We currently conduct Conversation Analysis of transcribed speech of 58567 words and documenting bias. We also test OpenAI’s ChatGPT for bias in quiz-like gender-related questions.</abstract>
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%0 Conference Proceedings
%T A Luxembourgish Corpus as a Gender Bias Evaluation Testset
%A Anastasiou, Dimitra
%A Blond-Hanten, Carole
%A Gallais, Marie
%Y Calzolari, Nicoletta
%Y Kan, Min-Yen
%Y Hoste, Veronique
%Y Lenci, Alessandro
%Y Sakti, Sakriani
%Y Xue, Nianwen
%S Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F anastasiou-etal-2024-luxembourgish-corpus
%X According to the United Nations Development Programme, gender inequality is a metric that is composed of three dimensions: reproductive health, empowerment, and the labour market. Gender inequality is an obstacle to equal opportunities in society as a whole. In this paper we present our work-in-progress of designing and playing a physical game with digital elements. We currently conduct Conversation Analysis of transcribed speech of 58567 words and documenting bias. We also test OpenAI’s ChatGPT for bias in quiz-like gender-related questions.
%U https://aclanthology.org/2024.lrec-main.70
%P 784-788

Markdown (Informal)

[A Luxembourgish Corpus as a Gender Bias Evaluation Testset](https://aclanthology.org/2024.lrec-main.70) (Anastasiou et al., LREC-COLING 2024)

• A Luxembourgish Corpus as a Gender Bias Evaluation Testset (Anastasiou et al., LREC-COLING 2024)

ACL

• Dimitra Anastasiou, Carole Blond-Hanten, and Marie Gallais. 2024. A Luxembourgish Corpus as a Gender Bias Evaluation Testset. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 784–788, Torino, Italia. ELRA and ICCL.