ai2-ner-project/pytorch-ko-ner
PLM 기반 한국어 개체명 인식 (NER)
This project helps you automatically identify and categorize key entities like names, places, and organizations within Korean text. You provide raw Korean text, and it outputs the same text with named entities highlighted and labeled (e.g., 'Person', 'Location', 'Organization'). This is useful for anyone working with large volumes of Korean text data, such as researchers, analysts, or content managers.
No commits in the last 6 months.
Use this if you need to automatically extract specific types of information from Korean documents or large text datasets.
Not ideal if your primary need is for a language other than Korean, or if you require an extremely high level of domain-specific entity recognition not covered by general categories.
Stars
30
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 06, 2022
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