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
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.
Journal Papers
Jingshan Huang, Fernando Gutierrez, Harrison J Strachan, Dejing Dou, Weili Huang, Barry Smith, Judith A Blake, Karen Eilbeck, Darren A Natale, Yu Lin, Bin Wu, Nisansa de Silva, and others, "OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data", Journal of biomedical semantics, vol. 7, no. 1, pp. 25, 2016. doi: 10.1186/s13326-016-0064-2
Workshop Papers
Ovindu Atukorala, Randeepa Appuhami, and Nisansa de Silva, "LawChain: A Resource-Efficient Blueprint for Legal Information Retrieval in Low-Resource Jurisdictions", in ICML 2026 GlobalSouthML, 2026.
Preprints
Pengwei Wang, Dejing Dou, Fangzhao Wu, Nisansa de Silva, and Lianwen Jin, "Logic Rules Powered Knowledge Graph Embedding", arXiv preprint arXiv:1903.03772, 2019. doi: 10.48550/arXiv.1903.03772
