pytorch-bert-crf-ner

eagle705

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

nlp natural-language-processing

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505 Stars

109 Forks

505 Watchers

Jupyter Notebook Language

apache-2.0 License

100 SrcLog Score

Cost to Build

$155.4K

Market Value

$359.7K

How is this calculated?

Growth over time

12 data points · 2021-08-01 → 2026-04-01

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What is the eagle705/pytorch-bert-crf-ner GitHub project? Description: "KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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Download master.zip

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