SigmaLaw
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
This project delves into the synergy between Natural Language Processing (NLP) and the legal domain, presenting novel solutions to enduring challenges.
Conference Papers
Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, Shehan Perera, and Madhavi Perera, "Learning Sentence Embeddings in the Legal Domain with Low Resource Settings", in Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022, pp. 494--502.
Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, and Ramesh Pathirana, "Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting", in Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 2020, pp. 252--260.