monologg/korean-ner-pytorch
NER Task with CNN + BiLSTM + CRF (with Naver NLP Challenge dataset) with Pytorch
This project helps identify and categorize specific entities in Korean text, such as names of people, organizations, locations, or dates. You input raw Korean text, and it outputs the same text with recognized entities labeled. This is useful for data analysts, linguists, or anyone working with large volumes of Korean text who needs to extract structured information.
No commits in the last 6 months.
Use this if you need to automatically extract and classify specific named entities from unstructured Korean text data.
Not ideal if your primary need is for languages other than Korean or if you require fine-grained entity classification beyond common named entity types.
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31
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8
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 25, 2024
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