Tharindu Cyril Weerasooriya

Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning

CrowdOpinion uses unsupervised learning to group similar content and predict the full range of human opinions about it, rather than forcing everyone into a single 'correct' …

Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo

Findings from the Bambara - French Machine Translation Competition (BFMT 2023)

Vicarious Offense and Noise Audit of Offensive Speech Classifiers

Testing 9 different AI content moderation systems on 92 million YouTube comments reveals wildly inconsistent results, while human annotators show strong political bias—proving that …

Improving Label Quality by Joint Probabilistic Modeling of Items and Annotators

Annotator Response Distributions as a Sampling Frame

Improving Label Quality by Jointly Modeling Items and Annotators

Neighborhood-based pooling for population-level label distribution learning

Cloud-Based Open Source Primary Care Electronic Patient Record System for Sri Lankan Citizens