Kyubyong/bert_ner

Ner with Bert

40
/ 100
Emerging

This project helps machine learning engineers and data scientists extract specific entities like names of people, organizations, or locations from text. You provide a dataset of text documents, and it processes them to identify and label these key pieces of information. It's designed for those building and deploying natural language processing applications.

280 stars. No commits in the last 6 months.

Use this if you are a machine learning engineer or data scientist looking to implement Named Entity Recognition (NER) using BERT models.

Not ideal if you need a no-code solution or are not comfortable working with Python and PyTorch.

natural-language-processing information-extraction text-analytics machine-learning-engineering data-science
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 22 / 25

How are scores calculated?

Stars

280

Forks

56

Language

Python

License

Last pushed

Oct 20, 2019

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Kyubyong/bert_ner"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.