Common Sense Reasoning
PI: Surangika Ranathunga
The Common Sense Reasoning project focuses on advancing culturally grounded evaluation and knowledge representation for language-based artificial intelligence systems.
Projects
Knowledge Representation
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.
Low-Resource Adaptation for NLP
PI: Nisansa de Silva
We propose to advance natural language processing for low-resource settings by leveraging data augmentation, transfer learning, and model adaptation techniques to overcome the scarcity of annotated data and linguistic resources.
Social Media Text Analysis
PI: Nisansa de Silva
We propose to advance social media text analysis by combining linguistic study, preprocessing, and deep learning models to better capture sentiment, structure, and meaning in informal, large-scale user-generated text.
People
Publications
Conference Papers
U. L. D. N. Gunasinghe, W. A. M. De Silva, N. H. N. D. de Silva, A. S. Perera, W. A. D. Sashika, and W. D. T. P. Premasiri, "Sentence Similarity Measuring by Vector Space Model", in Advances in ICT for Emerging Regions (ICTer), 2014 International Conference on, December. 2014, pp. 185--189. doi: 10.1109/ICTER.2014.7083899
N. H. N. D. de Silva, C. S. N. J. Fernando, M. K. D. T. Maldeniya, D. N. C. Wijeratne, A. S. Perera, and B Goertzel, "SeMap-Mapping Dependency Relationships into Semantic Frame Relationships", in Proceedings of the Engineering Research Unit Symposium, December. 2011.
Preprints
Nisansa de Silva, Danaja Maldeniya, and Chamilka Wijeratne, "Subject Specific Stream Classification Preprocessing Algorithm for Twitter Data Stream", arXiv preprint arXiv:1705.09995, 2017. doi: 10.48550/ARXIV.1705.09995