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cs.CL2026
Quantifying and Predicting Disagreement in Graded Human Ratings
Leixin Zhang, Çağrı Çöltekin
It is increasingly recognized that human annotators do not always agree, and such disagreement is inherent in many annotation tasks. However, not all instances in a given task elic…
cs.CL2026
Modeling Human Perspectives with Socio-Demographic Representations
Leixin Zhang, Cagri Coltekin
Humans often hold different perspectives on the same issues. In many NLP tasks, annotation disagreement can reflect valid subjective perspectives. Modeling annotator perspectives a…
cs.CL2024
Tübingen-CL at SemEval-2024 Task 1:Ensemble Learning for Semantic Relatedness Estimation
Leixin Zhang, Çağrı Çöltekin
The paper introduces our system for SemEval-2024 Task 1, which aims to predict the relatedness of sentence pairs. Operating under the hypothesis that semantic relatedness is a broa…