# zjy-ucas/ChineseNER

A neural network model for Chinese named entity recognition

Repository: https://github.com/zjy-ucas/ChineseNER
Canonical: https://ross.abutalabs.com/products/chinesener
Language: Python
License Family: other
Last push: 2018-08-09T07:26:28+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3501, "days_push": 2946, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1822, forks 564 (observed 2026-08-28T04:05:41.091398+00:00)

## What it is
A TensorFlow demo implementing a bidirectional LSTM-CRF model for Chinese named entity recognition. It includes training and evaluation scripts plus Chinese word embedding data.

## Use cases
- recognize named entities in Chinese text
- train a Chinese NER model
- sequence labeling for Chinese characters
- learn LSTM-CRF NER implementation
- extract person and location names from Chinese text

## When to choose
- you need a simple reference implementation of BiLSTM-CRF for Chinese NER
- you are studying character-based Chinese NER models

## When to avoid
- you need maintained code or modern TensorFlow versions
- you need production-grade multilingual NER
- you need a license for commercial use

## Facets
- artifact type: library
- maturity: abandoned
- function: nlp, machine-learning, deep-learning
- domain: machine-learning
- platform: python
- tags: named-entity-recognition, chinese-nlp, lstm-crf, tensorflow, sequence-labeling, natural-language-processing

## Member repositories
- zjy-ucas/ChineseNER (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:41.091398+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:19:55.959044+00:00, confidence not recorded.
  - readme: https://github.com/zjy-ucas/ChineseNER (fetched 2026-08-28T04:05:41.091398+00:00, sha 17db1b7e05df)
- Data as of 2026-08-30T08:39:29.467469+00:00.