Co-Founder & CTO @ Always Friday
[COLING22] Text-to-Text Extraction and Verbalization of Biomedical Event Graphs
PyTorch module that generates a subgraph originating from the UMLS Knowledge Graph (KG) when presented with a biomedical question (from MedQA). It utilizes Language Models (LMs) to solve the next relation prediction task and graph node embedding to infer the tail given a head and the predicted relation, essentially performing link prediction.
This repository contains assignments, the final course project, and the project work assigned for the Natural Language Processing (NLP) course within the Artificial Intelligence Master's program.
Python implementation of Deep Learning models, with a focus on NLP.
The objective of this study is to explore the impact of the structure of a Bayesian Network on its overall run-time, potential unwanted bias, and accuracy in performing a classification task. A credit card default dataset was utilised to construct six networks with varying structures and to learn their conditional probability distributions.
This repository houses the code for my personal portfolio website. The website features a blog section, my professional resume, and a contact form for reaching out to me. Explore my online presence and get in touch!