Transformer Ensembles for Sexism Detection

Lily Davies; Marta Baldracchi; Carlo Alessandro Borella; Konstantinos Perifanos

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arXiv · 2110.15905

Transformer Ensembles for Sexism Detection

Lily Davies·Marta Baldracchi·Carlo Alessandro Borella·Konstantinos Perifanos

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Abstract

This document presents in detail the work done for the sexism detection task at EXIST2021 workshop. Our methodology is built on ensembles of Transformer-based models which are trained on different background and corpora and fine-tuned on the provided dataset from the EXIST2021 workshop. We report accuracy of 0.767 for the binary classification task (task1), and f1 score 0.766, and for the multi-class task (task2) accuracy 0.623 and f1-score 0.535.

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Lily Davies, Marta Baldracchi, Carlo Alessandro Borella, Konstantinos Perifanos. 2021-10-29. Transformer Ensembles for Sexism Detection. https://arxiv.org/abs/2110.15905

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