PI: Nisansa de Silva
The Knowledge Representation project investigates methods for structuring, aligning, and reasoning over knowledge extracted from language, with particular emphasis on low-resource settings, domain-specific semantics, and intelligent information access.
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.
Theses: MSc Major Component Research
Gathika Ratnayaka, "Minimizing domain bias when adapting sentiment analysis techniques to the legal domain", University of Moratuwa, 2022
Conference Papers
Rajith Arulanandam and Nisansa De Silva, "Section-Weighted Hybrid Approach for Legal Case Retrieval", in 2026 8th International Conference on Natural Language Processing (ICNLP), 2026, pp. 567--571. doi: 10.1109/ICNLP69856.2026.11527762
Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, and Yunyao Li, "Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization", in Proceedings of the 28th International Conference on Computational Linguistics, 2020, pp. 545--555. doi: 10.18653/v1/2020.coling-main.47
Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, and Madhavi Perera, "Legal Document Retrieval using Document Vector Embeddings and Deep Learning", in Science and information conference, 2018, pp. 160--175. doi: 10.1007/978-3-030-01177-2_12
