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NGLY1 Information Extraction Automation

This repository contains several experiments that attempt to automate aspects of information extraction related to rare disease biology literature through the use of large language models (GPT4 primarily).

This is heavily inspired by Structured reviews for data and knowledge-driven research (2020).

More details and results can be seen in Summarize proof of concept analyses (#1).

Setup

Environment Variables

The variables currently necessary in .env are:

OPENAI_API_KEY="xxxxx" # Use this for an IDE (e.g. VSCode) that exports from .env automatically # PYTHONPATH=/path/to/repo/root 

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