macanv/BERT-BiLSTM-CRF-NER

Health v2 · maintenance only

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4906 stars · 1242 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A TensorFlow implementation of named entity recognition that fine-tunes Google BERT with a BiLSTM-CRF model, primarily targeting Chinese text. It also provides Flask-based serving code to deploy trained NER (and text classification) models as private server services.

Use cases

• train a NER model with BERT and BiLSTM-CRF
• recognize named entities in Chinese text
• fine-tune BERT for sequence labeling
• serve a NER model as an HTTP service
• extract person, location, and organization names from text

When to choose

• you need to fine-tune BERT for NER in TensorFlow 1.x
• you work mainly with Chinese sequence labeling data
• you want a simple self-hosted NER service

When to avoid

• you need PyTorch or modern TensorFlow 2.x
• you want actively maintained code or official support
• you need multilingual NER out of the box without code changes

Facets

library · maturity maintenance

machine-learning nlp llm-training sdk machine-learning deep-learning python windows named-entity-recognition bert bilstm-crf tensorflow chinese-nlp ner-service natural-language-processing linux macos

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markdown · JSON · MCP: product_card(name="macanv/BERT-BiLSTM-CRF-NER")