Speakers
Mara Schilling-Wilhelmi
Sharat Patil
Description
Structured data is key to machine learning – but much of the world’s information is unstructured. This tutorial introduces how Large Language Models (LLMs) can be used to extract structured data from scientific publications. After a 30-minute introduction talk, participants will dive into a hands-on session exploring practical steps of the extraction workflow.