Publications

Shanilka Haturusinghe, Tharindu Cyril Weerasooriya, Christopher M Homan, Marcos Zampieri, Sidath Ravindra Liyanage (2025). Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop).

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Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh (2025). ARTICLE: Annotator Reliability Through In-Context Learning. AAAI 2025.

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Deepak Pandita, Tharindu Cyril Weerasooriya, Sujan Dutta, Sarah K. Luger, Tharindu Ranasinghe, Ashiqur R. KhudaBukhsh, Marcos Zampieri, Christopher M. Homan (2024). Rater Cohesion and Quality from a Vicarious Perspective. Findings of the Association for Computational Linguistics: EMNLP 2024.

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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 (2024). Harnessing Business and Media Insights with Large Language Models. arXiv.

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Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh (2023). Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive. EMNLP 2023.

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Tharindu Cyril Weerasooriya, Sarah Luger, Saloni Poddar, Ashiqur KhudaBukhsh, Christopher M. Homan (2023). Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Tharindu Cyril Weerasooriya, Alexander G. Ororbia II, Raj Bhensadadia, Ashiqur KhudaBukhsh, Christopher M. Homan (2023). Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo. Findings of the Association for Computational Linguistics: ACL 2023.

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Ninoh Agostinho Da Silva, Tunde Oluwaseyi Ajayi, Alexander Antonov, Panga Azazia Kamate, Moussa Coulibaly, Mason Del Rio, Yacouba Diarra, Sebastian Diarra, Chris Emezue, Joel Hamilcaro, Christopher M. Homan, Alexander Most, Joseph Mwatukange, Peter Ohue, Michael Pham, Abdoulaye Sako, Sokhar Samb, Yaya Sy, Tharindu Cyril Weerasooriya, Yacine Zahidi, Sarah Luger (2023). Findings from the Bambara - French Machine Translation Competition (BFMT 2023). Proceedings of the The Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023).

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Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh (2023). Vicarious Offense and Noise Audit of Offensive Speech Classifiers. arXiv.

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Tharindu Cyril Weerasooriya, Alexander G Ororbia, Christopher M Homan (2022). Improving Label Quality by Joint Probabilistic Modeling of Items and Annotators. Proceedings of the 1st Workshop on Perspectivist Approaches to NLP @LREC2022.

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Christopher Homan, Tharindu Cyril Weerasooriya, Lora Aroyo, Chris Welty (2022). Annotator Response Distributions as a Sampling Frame. Proceedings of the 1st Workshop on Perspectivist Approaches to NLP @LREC2022.

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Tharindu Cyril Weerasooriya, Alexander G. Ororbia II, Christopher M. Homan (2021). Improving Label Quality by Jointly Modeling Items and Annotators. CoRR.

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Tharindu Cyril Weerasooriya, Tong Liu, Christopher M. Homan (2020). Neighborhood-based pooling for population-level label distribution learning. Frontiers in Artificial Intelligence and Applications.

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Kumara Mendis, Tharindu Cyril Weerasooriya, Supun Withana, Prabath Liyanage, Aruni Weerakoon Silva, Rajitha Wickramasinghe, Chaminda Weerabaddana (2019). Cloud-Based Open Source Primary Care Electronic Patient Record System for Sri Lankan Citizens. 2019 National Information Technology Conference, NITC 2019.

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Tharindu Weerasooriya, Nandula Perera, S. R. Liyanage (2017). KeyXtract Twitter Model - An Essential Keywords Extraction Model for Twitter Designed using NLP Tools. 10th KDU International Research Conference.

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Tharindu Weerasooriya, Nandula Perera, S. R. Liyanage (2017). A method to extract essential keywords from a tweet using NLP tools. 16th International Conference on Advances in ICT for Emerging Regions, ICTer 2016 - Conference Proceedings.

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Tharindu Weerasooriya, Nandula Perera, S. R. Liyanage (2017). A framework for automated corpus compilation for KeyXtract: Twitter model. 17th International Conference on Advances in ICT for Emerging Regions, ICTer 2017 - Proceedings.

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Nandula Perera, Tharindu Weerasooriya (2016). The ‘Racecourse' of Then and Now: Evolution of the Sri Lankan English Vocabulary Over Two Generations of SLE Speakers. VISTAS Journal.

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Tharindu Weerasooriya (2016). Automated Railway Ticketing System: Replacing the paper based ticket with the Electronic National Identity. ICT for Development Working Paper Series.

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