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[PDF][PDF] FraunhoferSIT@ EXIST2024: leveraging stacking ensemble learning for sexism detection
S Fan, RA Frick, M Steinebach - Working Notes of CLEF, 2024 - ceur-ws.org
The dissemination of inappropriate speeches, such as sexist language, on social media has
a negative impact on internet users. To promote the technical development of automatic …
a negative impact on internet users. To promote the technical development of automatic …
Chride at SemEval-2023 Task 10: Fine-tuned Deberta-V3 on Detection of Online Sexism with Hierarchical Loss
Sexism is one of the most concerning problems in the internet society. By detecting sexist
expressions, we can reduce the offense toward females and provide useful information to …
expressions, we can reduce the offense toward females and provide useful information to …