2 papers
cs.CL2026
Fear Is Not Always Fear: Variation in Emotion Label Equivalence Across Datasets
Emily Öhman, Anna Koufakou
Emotion classifiers are routinely applied beyond their training data, on the assumption that same-named labels such as fear or surprise mean the same thing across resources. We tes…
cs.CL2026
Quality and Agreement in Multilabel Emotion Annotation: A Case Study and Evaluation Framework
Emily Öhman, Anna Koufakou
Emotion annotation is inherently subjective, yet most NLP pipelines still assume "gold" labels, typically produced by majority voting, and treat annotator variation as noise. In th…