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.
ClosedPI: Rohan Samarajiva
We propose to investigate the role of natural language processing in government by building methods, frameworks, and resources that enable data-driven policy-making while ensuring ethical, transparent, and inclusive outcomes.
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.
Journal Papers
Sriganesh Lokanathan, Gabriel E Kreindler, N. H. Nisana de Silva, Yuhei Miyauchi, Dedunu Dhananjaya, and Rohan Samarajiva, "The Potential of Mobile Network Big Data as a Tool in Colombo's Transportation and Urban Planning", Information Technologies \& International Development, vol. 12, no. 2, pp. pp--63, 2016
Conference Papers
S Lokanathan, N de Silva, G Kreindler, Y Miyauchi, and D Dhananjaya, "Using Mobile Network Big Data for Informing Transportation and Urban Planning in Colombo", Available at SSRN, 11. 2014 
White Papers
Yudhanjaya Wijeratne, Nisansa de Silva, and Yashothara Shanmugarajah, "Natural Language Processing for Government: Problems and Potential", LIRNEasia, 2019. doi: 10.13140/RG.2.2.34297.31845
