disi-unibo-nlp/bio-ee-egv
[COLING22] Text-to-Text Extraction and Verbalization of Biomedical Event Graphs
This project helps bioinformaticians and biomedical researchers understand complex interactions mentioned in scientific literature. It takes in either free-form scientific text and outputs structured event graphs showing entities (like proteins or diseases) and their roles, or takes in structured event graphs and generates clear, informative text. This allows for easier analysis of molecular reactions, organism-level outcomes, and adverse drug reactions.
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Use this if you need to automatically extract structured biomedical event information from research papers or generate natural language descriptions from structured biomedical event data.
Not ideal if your focus is outside of biomedical scientific literature or if you require interaction types beyond the detailed event schemas covered.
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Language
Python
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Last pushed
Nov 05, 2022
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