alisonmitchell/Biomedical-Knowledge-Graph
Information extraction from unstructured text to build a knowledge graph using techniques from traditional NLP to pre-trained transformers and LLMs for NER and Linking, and Relation Extraction.
This project helps biomedical researchers and scientists extract structured information about drugs, diseases, and their relationships from unstructured scientific papers, particularly those concerning COVID-19 and drug repurposing. It takes in full-text articles and outputs an interactive knowledge graph that shows connections between biomedical entities. Researchers can use this to quickly identify potential drug uses, side effects, or other insights.
Use this if you need to rapidly identify and visualize relationships between biomedical entities like drugs and diseases from a large collection of scientific literature.
Not ideal if your primary goal is general text summarization or question answering outside of specific biomedical entity relationship extraction.
Stars
16
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Language
Jupyter Notebook
License
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Category
Last pushed
Jan 13, 2026
Commits (30d)
0
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