ActivePI: 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.
ActivePI: 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.
ActivePI: 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.
Conference Papers
Lakshani Galwatta, Nisansa de Silva, Sarangi Aththanayake, and Adithya Galwatta, "SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis", in 2026 Moratuwa Engineering Research Conference (MERCon), 2026, pp. 664-669. doi: 10.1109/MERCon71835.2026.11691353
