br-ai-ns-institute/Zero-ShotNER
Zero-Shot and Few-Shot methods for NER in biomedical domain
This project helps biomedical researchers, pharmacologists, and clinical data analysts automatically identify specific entities like chemicals, diseases, genes, or drugs within medical texts and research papers. It takes various biomedical datasets as input, processes them, and outputs structured information highlighting these key entities, even for classes it hasn't been explicitly trained on. This is particularly useful for those needing to extract insights from large volumes of unstructured biomedical text.
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Use this if you need to quickly and accurately extract specific biomedical terms like chemicals, diseases, or genes from text, especially when you have limited labeled data for new entity types.
Not ideal if your primary goal is to perform general text analysis outside of named entity recognition or if your domain is not biomedical.
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Last pushed
Jul 03, 2023
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