eagle705/korean-ner-cnn-bilstm
CNN+BiLSTM 기반 한국어 개체명 인식기입니다
This helps identify and categorize specific entities like names, locations, and organizations within Korean text. You provide Korean sentences or documents, and it outputs the same text with key entities highlighted and labeled. This tool is useful for data analysts, researchers, or anyone working with large volumes of Korean text data who needs to extract structured information.
No commits in the last 6 months.
Use this if you need to automatically find and classify proper nouns and other key information in Korean language documents or datasets.
Not ideal if you're working with languages other than Korean or if you need to understand the relationships between entities rather than just identifying them.
Stars
57
Forks
24
Language
Python
License
MIT
Category
Last pushed
Nov 26, 2019
Commits (30d)
0
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