fran-martinez/bio_ner_bert
BERT finetuned on NER downstream tasks
This project helps biomedical researchers and analysts automatically identify key entities like proteins and cell types within unstructured biological text. By inputting scientific articles or reports, you'll receive a structured output highlighting and categorizing these crucial terms. This is perfect for those who need to quickly extract specific biological information from large volumes of text without manual annotation.
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Use this if you regularly process scientific texts and need to automatically extract biological entities like proteins and cell types for analysis, database population, or knowledge graph creation.
Not ideal if your primary need is to extract entities from non-biological text, such as financial reports or customer reviews, as its specialization is in biomedical language.
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15
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Language
Python
License
MIT
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Last pushed
Jun 12, 2023
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