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cs.CL2024
Subjective ? On the Danger of Conflating Hate and Offence in Abusive Language Detection
Amanda Cercas Curry, Gavin Abercrombie, Zeerak Talat
Natural language processing research has begun to embrace the notion of annotator subjectivity, motivated by variations in labelling. This approach understands each annotator's vie…
cs.CL2024★ 4 cited
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution
Flor Miriam Plaza-del-Arco, Amanda Cercas Curry, Alba Curry +2
Large language models (LLMs) reflect societal norms and biases, especially about gender. While societal biases and stereotypes have been extensively researched in various NLP appli…