ASCEND combines thresholded supervised contrastive learning, word-level attention, and sentiment, emotion, and toxicity features to detect implicit sexism, reporting top macro-F1 scores on EXIST 2021 and MLSC.
Roh neil@ exist2023: Detecting sexism in tweets using multilingual language models.,
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An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks
ASCEND combines thresholded supervised contrastive learning, word-level attention, and sentiment, emotion, and toxicity features to detect implicit sexism, reporting top macro-F1 scores on EXIST 2021 and MLSC.