AI for Education
ActivePI: Nisansa de Silva
The AI for Education project explores how artificial intelligence and digital technologies can enhance teaching, learning, and educational management within the Sri Lankan context.
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Projects
ActiveAI for Software Maintenance
ActivePI: Sandareka Wickramanayake
We propose to advance automated program repair by leveraging natural language processing techniques, iterative repair strategies, and explainable AI frameworks to enhance accuracy, robustness, and interpretability of repair systems.
Aspect-Based Sentiment Analysis
ActivePI: Nisansa de Silva
We propose to advance aspect-based sentiment analysis (ABSA) by developing enhanced models, datasets, and evaluation methods that improve the accuracy and applicability of sentiment classification across multiple domains.
Biomedical NLP
ClosedPI: 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.
Common Sense Reasoning
ActivePI: Surangika Ranathunga
The Common Sense Reasoning project focuses on advancing culturally grounded evaluation and knowledge representation for language-based artificial intelligence systems.
Data Quality Estimation and Improvement
ActivePI: Surangika Ranathunga
The Data Quality Estimation and Improvement project focuses on analysing, measuring, and enhancing the quality of datasets used in natural language processing, particularly for multilingual and low-resource language applications.
Foundational Data Science
ActivePI: Nisansa de Silva
The Foundational Data Science project investigates how systematic data acquisition, integration, analysis, modelling, and visualisation can be applied to real-world problems to generate reliable and actionable knowledge.
Multi-domain Neural Machine Translation (NMT) System for Sinhala, Tamil, and English
ActivePI: Surangika Ranathunga
We propose to create a multi-domain Neural Machine Translation (NMT) System for Sinhala, Tamil, and English, the official languages of Sri Lanka.
Knowledge Representation
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.
LLM Multi-agent Systems
ActivePI: Nisansa de Silva
The LLM Multi-agent Systems project explores how large language models can be coordinated as interacting agents to perform complex reasoning, cooperation, and task execution in natural language environments.
Low-Resource Adaptation for NLP
ActivePI: 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.
NLP for D&D
ActivePI: 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.
NLP for Government
ClosedPI: Rohan Samarajiva
We propose to investigate the role of natural language processing in government by building methods, frameworks, and resources that enable data-driven policy-making while ensuring ethical, transparent, and inclusive outcomes.
Semantic Oppositeness Detection
ClosedPI: Dejing Dou
We propose to advance methods for semantic oppositeness detection in natural language, focusing on embedding-based models and contextual representations to improve reasoning and error detection in text.
SigmaLaw
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.
Sinhala Diachronic Corpus
ActivePI: Nisansa de Silva
This project aims to develop a comprehensive diachronic corpus for the Sinhala language, addressing the scarcity of historical linguistic resources for a language spoken by approximately 16 million people in Sri Lanka.
Sinhala Language Resources
ActivePI: Nisansa de Silva
We propose to build and analyze Sinhala language resources, datasets, and models to strengthen NLP research for this low-resource language, while connecting it to English and Tamil through bilingual lexicons, embeddings, and cross-lingual methods.
Social Media Text Analysis
ActivePI: 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.
Socio-Cultural Alignment of Large Language Models
ActivePI: Nisansa de Silva
The proposed research is expected to break new ground by addressing the dual challenges of linguistic complexity and cultural awareness in Sinhala, a low-resource language largely overlooked in LLM research.
Text Summarization
ActivePI: Nisansa de Silva
We propose to advance automatic summarization and generation techniques, with a focus on aspect-aware methods that capture fine-grained information and sentiment within concise textual representations.