PI: Nisansa de Silva
We propose to advance aspect-based sentiment analysis (ABSA) by developing enhanced models, datasets, and evaluation methods that improve the accuracy and applicability of sentiment classification across multiple domains.
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 delves into the synergy between Natural Language Processing (NLP) and the legal domain, presenting novel solutions to enduring challenges.
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.
Theses: MSc Minor Component Research
Sadeep Gunathilaka, "Automated User Review Analysis To Facilitate Potential Mobile Application Evolution", University of Moratuwa, 2025
Theses: BSc
Sahan Jayasinghe, Lakith Rambukkanage, and Ashan Silva, "SigmaLaw - Predicting Winning Party of a Legal Case using Legal Opinion Texts", University of Moratuwa, 2022
Dilini Karunarathna, Chanika Mudalige, and Isanka Rajapaksha, "Party Based Sentiment Analysis of Legal Opinion Texts", University of Moratuwa, 2020
Journal Papers
Dineth Jayakody, A V A Malkith, Koshila Isuranda, Vishal Thenuwara, Nisansa de Silva, Sachintha Rajith Ponnamperuma, G G N Sandamali, and K L K Sudheera, "Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews", ICTer, vol. 18, no. 2, pp. 39-50, 2025. doi: 10.4038/icter.v18i2.7290
Sahan Jayasinghe, Lakith Ransika Rambukkanage, Ashan Silva, Nisansa de Silva, and Amal Shehan Perera, "Unified Legal Party Based Sentiment Analysis Pipeline", The International Journal on Advances in ICT for Emerging Regions, vol. 15, no. 2, 2022. doi: 10.4038/icter.v15i2.7247
Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Ratnayaka, and Amal Shehan Perera, "Sigmalaw PBSA-A Deep Learning Approach for Aspect-Based Sentiment Analysis in Legal Opinion Texts", Journal of Data Intelligence, vol. 3, no. 1, pp. 101--115, 2021. doi: 10.26421/JDI3.1-1
Conference Papers
Vishal Thenuwara and Nisansa de Silva, "DESS: DeBERTa Enhanced Syntactic-Semantic Aspect Sentiment Triplet Extraction", in International Conference on Computational Collective Intelligence, 2025, pp. 185--199. doi: 10.1007/978-3-032-09318-9_13
Dineth Jayakody, Koshila Isuranda, A V A Malkith, Nisansa de Silva, Sachintha Rajith Ponnamperuma, G G N Sandamali, K L K Sudheera, and Kashnika Gimhani Sarathchandra, "Enhanced Aspect-Based Sentiment Analysis with Integrated Category Extraction for Instruct-DeBERTa", in Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, 2024, pp. 665--674.
Dineth Jayakody, Koshila Isuranda, A V A Malkith, Nisansa de Silva, Sachintha Rajith Ponnamperuma, G G N Sandamali, and K L K Sudheera, "Aspect-Based Sentiment Analysis Techniques: A Comparative Study", in 2024 Moratuwa Engineering Research Conference (MERCon), 2024, pp. 205--210. doi: 10.1109/MERCon63886.2024.10688631
Sadeep Gunathilaka and Nisansa De Silva, "Aspect-based Sentiment Analysis on Mobile Application Reviews", in 2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer), 2022, pp. 183--188. doi: 10.1109/ICTer58063.2022.10024070
Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, and Amal Shehan Perera, "Party-based Sentiment Analysis Pipeline for the Legal Domain", in 2021 21st International Conference on Advances in ICT for Emerging Regions (ICter), 2021, pp. 171-176. doi: 10.1109/ICter53630.2021.9774821 
Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Amal Shehan Perera, and Gathika Ratnayaka, "Sigmalaw PBSA-A Deep Learning Model for Aspect-Based Sentiment Analysis for the Legal Domain", in International Conference on Database and Expert Systems Applications, 2021, pp. 125--137. doi: 10.1007/978-3-030-86472-9_12
Chanika Ruchini Mudalige, Dilini Karunarathna, Isanka Rajapaksha, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera, and Ramesh Pathirana, "SigmaLaw-ABSA: Dataset for Aspect-Based Sentiment Analysis in Legal Opinion Texts", in 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), 2020, pp. 488--493. doi: 10.1109/ICIIS51140.2020.9342650 
Workshop Papers
Vishal Thenuwara, W M Yomal De Mel, and Nisansa De Silva, "Team VYN at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis", in Proceedings of the 20th International Workshop on Semantic Evaluation (2026), 2026, pp. 1755--1764. doi: 10.18653/v1/2026.semeval-1.223
Dineth Jayakody, Koshila Isuranda, A V A Malkith, Nisansa de Silva, G G N Sandamali, K L K Sudheera, and Sachintha Rajith, "Instruct-DeBERTa: A Hybrid Approach for Enhanced Aspect-Based Sentiment Analysis with Category Extraction", in Eighth Widening NLP Workshop (WiNLP 2024) Phase II, 2024.
Preprints
Lakshani Galwatta, Nisansa de Silva, Sarangi Aththanayake, and Adithya Galwatta, "SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis", arXiv preprint arXiv:2607.05259, 2026
