PI: Sandareka Wickramanayake
We propose to advance automated program repair by leveraging natural language processing techniques, iterative repair strategies, and explainable AI frameworks to enhance accuracy, robustness, and interpretability of repair systems.
PI: Nisansa de Silva
We propose to advance natural language processing for low-resource settings by leveraging data augmentation, transfer learning, and model adaptation techniques to overcome the scarcity of annotated data and linguistic resources.
PI: Nisansa de Silva
This project attempts to generate adventures, images, and encounters for Dungeons and Dragons, the world's most popular Table Top Role Playing Game.
PI: Nisansa de Silva
We propose to build and analyze Sinhala language resources, datasets, and models to strengthen NLP research for this low-resource language, while connecting it to English and Tamil through bilingual lexicons, embeddings, and cross-lingual methods.
PI: Nisansa de Silva
We propose to advance automatic summarization and generation techniques, with a focus on aspect-aware methods that capture fine-grained information and sentiment within concise textual representations.
Theses: MSc Minor Component Research
Pubudu Cooray, "Headline Generation for Sinhala Newspaper Articles using Pre-trained Language Models", University of Moratuwa, 2025
Dushan Kumarasinghe, "Automatic Generation of Research Paper Abstracts using Deep-Hybrid Models", University of Moratuwa, 2025
Kushan Hewapathirana, "Towards Multi-document Summarisation in Low-resource Settings", University of Moratuwa, 2025
Akila Peiris, "Dungeons \& Dragons Fantasy Adventure Generation", University of Moratuwa, 2024
Conference Papers
Aravinth Sivaganeshan, Nisansa de Silva, and Akila Peiris, "Fine-tuning an LLM to Generate Lore Coherent Encounters for Dungeons and Dragons", in Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, 2025, pp. 710--722.
Dushan Kumarasinghe and Nisansa de Silva, "Abstract Generation with Hybrid Model Supported by Relevance Matrix", in International Conference on Computational Collective Intelligence, 2024, pp. 211--223. doi: 10.1007/978-3-031-70816-9_17
Akila Peiris and Nisansa de Silva, "Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons \& Dragons", in Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022, pp. 415--424.
Dushan Kumarasinghe and Nisansa de Silva, "Automatic Generation of Abstracts for Research Papers", in Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022), 2022, pp. 221--229.
Extended Abstracts
H L S Sankaja, R P G Sandeeptha, R M R U Ranasingha, S Wickramanayake, and Nisansa de Silva, "Generating Natural Language Explanations for Automated Program Repair Generated Patches", in International Conference of Sabaragamuwa University of Sri Lanka, 2025, pp. 61.
Akila Peiris and Nisansa de Silva, "A Primer on Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons \& Dragons", in 6th Widening NLP Workshop, 2022.
