unsupervised_NER

Self-supervised NER prototype - updated version (69 entity types - 17 broad entity groups). Uses pretrained BERT models with no fine tuning. State-of-art performance on 3 biomedical datasets

natural-language-processing

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74 Stars

21 Forks

74 Watchers

Python Language

mit License

Cost to Build

$239.8K

Market Value

$384.6K

How is this calculated?

Growth over time

4 data points · 2022-02-01 → 2023-03-01

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What is the ajitrajasekharan/unsupervised_NER GitHub project? Description: "Self-supervised NER prototype - updated version (69 entity types - 17 broad entity groups). Uses pretrained BERT models with no fine tuning. State-of-art performance on 3 biomedical datasets". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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