crownpku/Information-Extraction-Chinese

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2264 stars · 798 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of deep learning models for Chinese information extraction, including named entity recognition with IDCNN or biLSTM+CRF and relation extraction with biGRU+2ATT. It is organized as separate sub-projects with their own documentation, implemented in Python with TensorFlow.

Use cases

• extract named entities from Chinese text
• recognize person, organization and location names in Chinese documents
• extract relations between entities in Chinese sentences
• train a Chinese NER model with biLSTM+CRF
• run Chinese relation extraction with attention-based biGRU
• build an information extraction pipeline for Chinese text

When to choose

• you need Chinese-specific NER or relation extraction with classic deep learning architectures
• you want trainable TensorFlow models for Chinese entity and relation extraction
• you need reference implementations of IDCNN+CRF or biGRU+attention for Chinese NLP

When to avoid

• you need production-grade maintained software with a license and active support
• you need multilingual or English information extraction
• you want transformer-based or LLM-era extraction models out of the box

Facets

library · maturity maintenance

nlp machine-learning deep-learning machine-learning artificial-intelligence python chinese-nlp named-entity-recognition relation-extraction information-extraction tensorflow idcnn bilstm-crf bigru-attention natural-language-processing

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markdown · JSON · MCP: product_card(name="crownpku/Information-Extraction-Chinese")