PI: Dejing Dou
We propose to advance biomedical natural language processing by combining ontology-based reasoning, semantic search, and embedding-driven methods to improve information extraction, representation, and consistency detection in biomedical texts.
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
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.
Book chapters
N. H. Nisansa D de Silva, "Relational Databases and Biomedical Big Data", Bioinformatics in MicroRNA Research, pp. 69--81, 2017. doi: 10.1007/978-1-4939-7046-9_5
Conference Papers
Dimuthu Upeksha, Chamila Wijayarathna, Maduranga Siriwardena, Lahiru Lasandun, Chinthana Wimalasuriya, N. H. N. D. de Silva, and Gihan Dias, "Comparison Between Performance of Various Database Systems for Implementing a Language Corpus", in International Conference: Beyond Databases, Architectures and Structures, May. 2015, pp. 82--91. doi: 10.1007/978-3-319-18422-7_7
