This project implements a Chinese relation extraction system using a BERT-based neural network trained with PyTorch. The model classifies pairs of entities in Chinese text into relationship categories such as parent, spouse, teacher-student, siblings, and colleagues. It achieves 78% accuracy on a test set of 1000 samples after 20 training epochs.