2 papers
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…
cs.CL2024
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels
Emily Ohman, Riikka Rossi
What can we learn from the classics of Finnish literature by using computational emotion analysis? This article tries to answer this question by examining how computational methods…