cosbi-research/beesl
Biomedical Event Extraction exhibiting first industry-level performances in quality and speed
This project helps biomedical researchers or scientists automatically extract structured information about events (like interactions, regulations, or processes) from unstructured biomedical text. You input raw text documents, often from scientific literature, and it outputs a structured representation of the biomedical events contained within, identifying triggers, entities, and their roles. This tool is designed for anyone needing to efficiently build knowledge bases or analyze large corpuses of scientific papers without manual annotation.
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Use this if you need to rapidly identify and structure complex biomedical events from a large volume of scientific texts, especially if you want to avoid relying on external knowledge bases or extensive manual pre-processing.
Not ideal if your primary goal is simple named entity recognition or if your text does not contain complex event structures.
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Last pushed
Dec 14, 2022
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