This repository provides a simple character-based BiLSTM-CRF model for Chinese NER. The model uses a lookup layer for character embeddings, a BiLSTM layer to capture bidirectional context, and a CRF layer to ensure valid tag sequences (preventing invalid transitions like I-LOC following B-PER). It labels each character with BIO tags for three entity types: PERSON, LOCATION, and ORGANIZATION.