Tharindu Cyril Weerasooriya

According to our database, Tharindu Cyril Weerasooriya authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ARTICLE: Annotator Reliability Through In-Context Learning.

Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh

CoRR, 2024

Harnessing Business and Media Insights with Large Language Models.

Yujia Bao, Ankit Parag Shah, Neeru Narang, Jonathan Rivers, Rajeev Maksey, Lan Guan, Louise N. Barrere, Shelley Evenson, Rahul Basole, Connie Miao, Ankit Mehta, Fabien Boulay, Su Min Park, Natalie E. Pearson, Eldhose Joy, Tiger He, Sumiran Thakur, Koustav Ghosal, Josh On, Phoebe Morrison, Tim Major, Eva Siqi Wang, Gina Escobar, Jiaheng Wei, Tharindu Cyril Weerasooriya, Queena Song, Daria Lashkevich, Clare Chen, Gyuhak Kim, Dengpan Yin, Don Hejna, Mo Nomeli, Wei Wei

CoRR, 2024

Rater Cohesion and Quality from a Vicarious Perspective.

Deepak Pandita, Tharindu Cyril Weerasooriya, Sujan Dutta, Sarah Luger, Tharindu Ranasinghe, Ashiqur R. KhudaBukhsh, Marcos Zampieri, Christopher Homan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Vicarious Offense and Noise Audit of Offensive Speech Classifiers.

Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh

CoRR, 2023

Offensiveness as an Opinion: Dissecting population-level Label Distributions.

Tharindu Cyril Weerasooriya, Sarah Luger, Yu Liang, Christopher M. Homan

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive.

Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe, Marcos Zampieri, Christopher Homan, Ashiqur R. KhudaBukhsh

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Tharindu Cyril Weerasooriya, Alexander Ororbia, Raj Bhensadadia, Ashiqur R. KhudaBukhsh, Christopher Homan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Tharindu Cyril Weerasooriya, Sarah Luger, Saloni Poddar, Ashiqur R. KhudaBukhsh, Christopher Homan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Improving Label Quality by Jointly Modeling Items and Annotators.

Tharindu Cyril Weerasooriya, Alexander Ororbia, Christopher Homan

Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022

Annotator Response Distributions as a Sampling Frame.

Christopher Homan, Tharindu Cyril Weerasooriya, Lora Aroyo, Chris Welty

Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022

2020

Neighborhood-Based Pooling for Population-Level Label Distribution Learning.

Tharindu Cyril Weerasooriya, Tong Liu, Christopher M. Homan

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2017

KeyXtract Twitter Model - An Essential Keywords Extraction Model for Twitter Designed using NLP Tools.

Tharindu Cyril Weerasooriya, Nandula Perera, S. R. Liyanage

CoRR, 2017