Tharindu Cyril Weerasooriya

Latest

Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala
ARTICLE: Annotator Reliability Through In-Context Learning
Rater Cohesion and Quality from a Vicarious Perspective
Harnessing Business and Media Insights with Large Language Models
Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo
Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning
Findings from the Bambara - French Machine Translation Competition (BFMT 2023)
Vicarious Offense and Noise Audit of Offensive Speech Classifiers
Annotator Response Distributions as a Sampling Frame
Improving Label Quality by Joint Probabilistic Modeling of Items and Annotators
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