ai-forever/ner-bert

BERT-NER (nert-bert) with google bert https://github.com/google-research.

50
/ 100
Established

This project helps you automatically identify and extract key entities like names, locations, or organizations from text documents. You provide raw text data, and it outputs the same text with specific words or phrases tagged with their respective categories. This is useful for data scientists, natural language processing engineers, or anyone working with large volumes of unstructured text who needs to quickly find specific information.

408 stars. No commits in the last 6 months.

Use this if you need to train a custom Named Entity Recognition (NER) model on your own domain-specific text data using the BERT architecture.

Not ideal if you're looking for an out-of-the-box solution for common NER tasks without any coding or model training.

natural-language-processing information-extraction text-analytics data-labeling semantic-search
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 24 / 25

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408

Forks

100

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 03, 2020

Commits (30d)

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