Robert A. Bagheri

Clustering annotators by behavior reveals that tailored training can significantly enhance the accuracy of sexism detection models, surpassing traditional majority voting methods.

Sentence embeddings can be objectively evaluated for conceptual stability without relying on downstream classifiers, revealing their true capacity to capture meaning.