monologg/KoBERT-NER

NER Task with KoBERT (with Naver NLP Challenge dataset)

46
/ 100
Emerging

This tool helps developers working with Korean natural language processing to identify and categorize specific entities within Korean text. You provide raw Korean text, and it outputs the text with recognized entities like names, locations, and organizations labeled. This is designed for developers building applications that require understanding the structure of Korean sentences.

100 stars. No commits in the last 6 months.

Use this if you are a developer building a Korean NLP application and need to extract named entities from text.

Not ideal if you are an end-user without programming skills or are working with languages other than Korean.

Korean NLP named-entity-recognition text-processing natural-language-understanding AI-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 21 / 25

How are scores calculated?

Stars

100

Forks

34

Language

Python

License

Apache-2.0

Last pushed

Jun 12, 2023

Commits (30d)

0

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