# macanv/BERT-BiLSTM-CRF-NER

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

Repository: https://github.com/macanv/BERT-BiLSTM-CRF-NER
Canonical: https://ross.abutalabs.com/products/bert-bilstm-crf-ner
Homepage: https://github.com/macanv/BERT-BiLSMT-CRF-NER
Language: Python
License Family: other
Topics: bert, ner, named-entity-recognition, blstm, crf, bert-bilstm-crf
Last push: 2021-02-24T02:13:06+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2838, "days_push": 2017, "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 4906, forks 1242 (observed 2026-08-28T04:09:02.228892+00:00)

## What it is
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
- artifact type: library
- maturity: maintenance
- function: machine-learning, nlp, llm-training, sdk
- domain: machine-learning, deep-learning
- platform: python, windows
- tags: named-entity-recognition, bert, bilstm-crf, tensorflow, chinese-nlp, ner-service, natural-language-processing, linux, macos

## Member repositories
- macanv/BERT-BiLSTM-CRF-NER (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:02.228892+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 2026-08-29T18:18:07.028132+00:00, confidence not recorded.
  - readme: https://github.com/macanv/BERT-BiLSTM-CRF-NER (fetched 2026-08-28T04:09:02.228892+00:00, sha bbffd341e53a)
  - homepage: https://github.com/macanv/BERT-BiLSMT-CRF-NER (fetched 2026-08-29T09:00:13.130602+00:00, sha 5a4f013baa9a)
- Data as of 2026-08-30T08:39:29.467469+00:00.