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 attempts to generate adventures, images, and encounters for Dungeons and Dragons, the world's most popular Table Top Role Playing Game.
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
Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A Blake, Dejing Dou, Weili Huang, Darren A Natale, Alan Ruttenberg, Jun Huan, Michael T Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Nisansa de Silva, and others, "The development of non-coding RNA ontology", International journal of data mining and bioinformatics, vol. 15, no. 3, pp. 214--232, 2016. doi: 10.1504/IJDMB.2016.077072
Conference Papers
Akila Peiris and Nisansa de Silva, "SHADE: Semantic Hypernym Annotator for Domain-Specific Entities-Dungeons and Dragons Domain Use Case", in 2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS), 2023, pp. 1--6. doi: 10.1109/ICIIS58898.2023.10253606
