Papers by Mohammed Fayiz Parappan
Learning Subjective Label Distributions via Sociocultural Descriptors (2025.emnlp-main)
Copied to clipboard
| Challenge: | Conventional approaches aggregate annotator judgements (labels), ignoring minority perspectives, and overlooking the influence of sociocultural context behind such annotations. |
| Approach: | They propose a framework where subjectivity in binary labels is modeled as an empirical distribution accounting for the variation in annotators through human values extracted from sociocultural descriptors using a language model. |
| Outcome: | The proposed model yields well-calibrated toxicity distribution predictions across binary toxicity labels, which are further used for majority label prediction across cultural subgroups. |