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cs.CL2025
DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition?
Urja Khurana, Eric Nalisnick, Antske Fokkens
When building a predictive model, it is often difficult to ensure that application-specific requirements are encoded by the model that will eventually be deployed. Consider researc…
cs.CL2024
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?
Urja Khurana, Eric Nalisnick, Antske Fokkens +1
Subjective tasks in NLP have been mostly relegated to objective standards, where the gold label is decided by taking the majority vote. This obfuscates annotator disagreement and t…
cs.CL2024
Active Learning for Multilingual Fingerspelling Corpora
Shuai Wang, Eric Nalisnick
We apply active learning to help with data scarcity problems in sign languages. In particular, we perform a novel analysis of the effect of pre-training. Since many sign languages…