This repository implements Chinese Named Entity Recognition using several approaches: traditional statistical methods (HMM, CRF) and neural models (BiLSTM, BiLSTM+CRF). It trains on resume datasets formatted with BIOES tagging scheme and evaluates models using precision, recall, and F1 score. The project also includes an ensemble method that combines predictions from all four models via voting.