My Master’s Thesis project where I created a novel annotated dataset of conversational arguments, engineered a graph-based representation, and benchmarked LLM performance for relation classification.
A neuro-symbolic approach to food hazard detection that combines Large Language Models (Llama-3.1-8B) with knowledge graphs (ConceptNet) to create an inherently explainable classification system.
Published in 2021 Asian Conference on Innovation in Technology (ASIANCON), 2021
This paper investigates the relative efficiencies of K-Nearest Neighbors, Support Vector Machine, and Convolutional Neural Network classifiers in leaf classification.
Published in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), 2023
This paper addresses paraphrase detection in Kannada, a low-resourced South-Indian language, finding that a decision tree classifier performs best, making it ideal for implementing a plagiarism detection system for Kannada documents.
Published in International Conference on Advances in Data-driven Computing and Intelligent Systems, 2023
This paper emphasizes the importance of advancing NLP research in Kannada, a complex South-Indian Dravidian language, highlighting that paraphrase generation can simplify concepts, enhance language comprehension, and improve translation accuracy.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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