eagle705/pytorch-bert-crf-ner
KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
This tool helps anyone working with Korean text automatically identify and extract key pieces of information like names of people, locations, organizations, dates, and products. You input raw Korean sentences, and it outputs the same sentences with these important entities clearly tagged. This is useful for data analysts, researchers, or anyone needing to quickly structure information from unstructured Korean text.
504 stars. No commits in the last 6 months.
Use this if you need to quickly and accurately extract specific entities from large volumes of Korean text, like identifying all mentions of product names or people in news articles.
Not ideal if you're working with languages other than Korean, or if you need to analyze relationships between entities rather than just identifying them.
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Apache-2.0
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Last pushed
Feb 11, 2024
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