Bsc Eng. (Hons) (Moratuwa)
Keywords: Natural Language Processing | Machine Learning / Deep Learning | Law | Aspect-based Sentiment Analysis |
Theses: BSc
Sahan Jayasinghe, Lakith Rambukkanage, and Ashan Silva, "SigmaLaw - Predicting Winning Party of a Legal Case using Legal Opinion Texts", University of Moratuwa, 2022
Journal Papers
Sahan Jayasinghe, Lakith Ransika Rambukkanage, Ashan Silva, Nisansa de Silva, and Amal Shehan Perera, "Unified Legal Party Based Sentiment Analysis Pipeline", The International Journal on Advances in ICT for Emerging Regions, vol. 15, no. 2, 2022. doi: 10.4038/icter.v15i2.7247
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.
Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, and Amal Shehan Perera, "Legal Case Winning Party Prediction With Domain Specific Auxiliary Models", in Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022), 2022, pp. 205--213.
Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, and Amal Shehan Perera, "Party-based Sentiment Analysis Pipeline for the Legal Domain", in 2021 21st International Conference on Advances in ICT for Emerging Regions (ICter), 2021, pp. 171-176. doi: 10.1109/ICter53630.2021.9774821 
Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, and Amal Shehan Perera, "Critical Sentence Identification in Legal Cases Using Multi-Class Classification", in 2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS), 2021, pp. 146--151. doi: 10.1109/ICIIS53135.2021.9660657
ActivePI: 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.
ActivePI: Nisansa de Silva
This project delves into the synergy between Natural Language Processing (NLP) and the legal domain, presenting novel solutions to enduring challenges.
