loujie0822/DeepIE resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1932 stars · 346 forks observed · 2026-08-28

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

DeepIE is a collection of deep learning resources, paper summaries, and reference implementations for information extraction tasks such as named entity recognition, relation extraction, and event extraction, with a focus on Chinese NLP. It includes benchmark result tables comparing mainstream NER methods on Chinese datasets like MSRA, Ontonotes, Resume, and Weibo.

Use cases

• extract named entities from Chinese text
• compare NER model performance on Chinese benchmarks
• find papers on relation and event extraction
• implement lexicon-enhanced NER like FLAT or Lattice LSTM
• learn deep learning approaches to information extraction

When to choose

• you need a curated survey of IE papers and methods
• you want reference code and benchmark numbers for Chinese NER
• you are researching lexicon-augmented entity extraction

When to avoid

• you need a production-ready, maintained IE library
• you need non-Chinese-language IE out of the box
• you need a project with an active release cycle or license

Facets

learning-resource · maturity maintenance

nlp machine-learning deep-learning machine-learning deep-learning python information-extraction named-entity-recognition relation-extraction event-extraction chinese-nlp ner paper-collection benchmarks natural-language-processing

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markdown · JSON · MCP: product_card(name="loujie0822/DeepIE")