A repository outlining the use of LLMs to extract structured process parameters from research articles on ALD-deposited films, and uploading this data to the ORKG as an AI-ready database.
-
Updated
Sep 21, 2024 - Python
A repository outlining the use of LLMs to extract structured process parameters from research articles on ALD-deposited films, and uploading this data to the ORKG as an AI-ready database.
This script allows you to upload your reported model performances in tables in your publications directly to the ORKG
The repository in part contains code to automate extraction of review tables from ALD/E review papers to import into the ORKG. This feeds into the larger vision of facilitating neurosymbolic AI on ALD/E knowledge.
🤖 Automate extraction of review tables from ALD/E papers for seamless integration into ORKG, enhancing neurosymbolic AI knowledge.
Add a description, image, and links to the orkg topic page so that developers can more easily learn about it.
To associate your repository with the orkg topic, visit your repo's landing page and select "manage topics."