Enhancing Personal Identifiable Information Detection in Unstructured Text: A Hybrid Machine Learning and Pattern Recognition Approach

Abstract

This research paper presents a novel approach to Personally Identifiable Information (PII)identification using Logic Neural Networks (LNNs), which integrate the interpretability ofsymbolic logic with the learning capabilities of neural networks. Traditional machine learning models often struggle with explainability and domain adaptation in sensitive data environments,